• A two-year computer degree, or equivalent education or experience in an engineering, technology, or business-related field.
• One to three years of experience in business systems support or IT business analysis, including requirements gathering, process improvement, reporting, or application projects; an equivalent combination of relevant education and demonstrated experience will also be considered.
• Experience gathering, analyzing, and documenting business requirements and translating them into functional specifications or process maps.
• Experience investigating application or data issues, validating solutions, and supporting user acceptance testing and end-user training.
• Working knowledge of Microsoft 365 and Microsoft Office applications.
• Foundational knowledge of SQL and relational database concepts, with willingness to develop reporting and query skills.
• Working understanding of hardware and software system design, operating systems, application software, networks, and IT security fundamentals.
• Strong analytical, troubleshooting, problem-solving, and decision-making skills.
• Strong verbal and written communication skills, including the ability to explain technical information clearly to non-technical users.
• Strong organizational skills, including prioritization, managing concurrent tasks, attention to detail, and awareness of time constraints.
• Willingness to learn specialized business systems.
• Exposure to Cognos PowerHouse or OpenVMS, including DCL command procedures, batch job management, application support, or reporting, is an asset.
• A bachelors degree in computer science, information systems, or business administration is preferred.
• Experience or strong familiarity with procedural programming languages or design patterns, such as conditional and looping statements or using input forms to retrieve and write data, is preferred.
• Experience with business systems in a manufacturing or process-industry environment is preferred.
• Experience with Microsoft reporting solutions such as Power BI or SSRS, and with relational database design, is preferred.
• Programming or scripting experience in SQL and either PHP or Python is preferred.
• Advanced Excel skills, including formulas, functions, and macros, are preferred.
• Experience defining functional requirements for software selection or data integrations between systems and external partners is preferred.
• Experience supporting users in an industrial or plant-floor setting is preferred.
• Core competencies include curiosity and continuous learning, conscientiousness and attention to detail, project planning and coordination, teamwork and cross-functional collaboration, communication and stakeholder engagement, problem solving, technical and business-process knowledge, adaptability, and accountability.

• Learn, document, and support our proprietary and packaged business systems, including OpenVMS applications, Cognos PowerHouse, and Kiwiplan packaged MES software.
• Develop into a subject matter expert for assigned systems, providing functional support, diagnosing issues, and helping business users resolve them.
• Design, build, and support custom reports and data integrations between business systems.
• Document business processes and decision-support tools, identify opportunities to improve, simplify, and standardize them, and work with upstream and downstream groups to optimize processes end to end where possible.
• Help maintain application roadmaps and integration diagrams, and develop an understanding of how our systems exchange data with internal and external systems.
• Support business-application projects through analysis, design, development, testing, release, and post-implementation support; partner with business and IT colleagues on requirements and data-integration needs.
• Help create and use standardized software development lifecycle documentation so findings and process improvements are sustained across the organization.
• Contribute to evaluating and researching packaged systems and software to support productivity and decision-making improvements.
• Provide occasional service-desk coverage and end-user guidance to our Canadian personnel.
• Triage and document support requests, resolve straightforward issues, and coordinate escalations with the appropriate IT resources while keeping business-analysis priorities in focus.
• Provide off-hours support when urgently needed for our continuous manufacturing operation.
• Participate in structured mentorship, following defined milestones for learning systems and sharing knowledge.
• Create and maintain durable documentation, including runbooks, system inventories, process maps, and support procedures, to strengthen shared IT knowledge of critical systems.
• Take increasing ownership of assigned systems as proficiency grows, becoming the primary subject matter expert for those applications.

• Excel
• Hardware
• Support
• Microsoft 365
• PHP
• Power BI
• Python
• SQL
• Security
• Office 365

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We are Crown Paper Group, an independent regional containerboard business serving the Pacific Northwest and Western Canada through an integrated mill, converting facilities, and company-operated distribution centers. Our operations include Port Townsend Paper Mill in Port Townsend, Washington; Crown Packaging in Richmond, British Columbia, with sales offices and distribution centers in Kelowna, Calgary, and Edmonton; and BoxMaster in Vancouver. Our Canada IT team values a positive work environment, environmental stewardship, and strong community relationships; many colleagues have built long careers with us. The Business Application Analyst reports to our IT Director, and structured training and mentorship support learning our systems. At least 85% of the work focuses on business analysis and application support; infrastructure and device issues are coordinated with appropriate IT resources, while workstation imaging and routine device deployment are not core duties. We offer competitive compensation of $87,000–$100,000 per year, a comprehensive health plan with prescription, vision, life, and dental coverage, a retirement plan with RRSP matching, employee assistance services, paid time off, relocation assistance, and on-site parking. This is an in-person role.

last updated 44 week of 2026

• Strong hands-on experience managing production AWS environments, including cloud architecture, networking, IAM, and security.
• Experience migrating and deploying containerized web applications to AWS.
• Proficiency in Python for scripting, automation, and backend troubleshooting.
• Experience with Docker, Linux, GitHub Actions, and infrastructure as code using Terraform or AWS CDK.
• Familiarity with PostgreSQL, REST APIs, and asynchronous task processing.
• Experience implementing cloud security practices, vulnerability management, monitoring, and backup and recovery systems.
• Ability to work independently and collaborate with software developers to troubleshoot and optimize production infrastructure.
• Preferred: Experience with Django, Celery, RabbitMQ, Redis, and React-based applications.
• Preferred: Experience implementing security controls for healthcare applications handling protected health information under HIPAA or PHIPA.
• Preferred: Experience with Amazon Bedrock, AI/ML infrastructure, or high-volume scientific data processing.
• Preferred: Knowledge of AWS services such as ECS/Fargate, RDS, S3, CloudWatch, CloudTrail, GuardDuty, and KMS.
• Preferred: AWS certifications such as Solutions Architect, Security Specialty, or DevOps Engineer Professional.
• Preferred: Experience coordinating penetration tests, conducting security risk assessments, or supporting compliance audits.

• Lead the migration of our AI-powered neurotechnology platform to AWS, covering containerized applications, databases, APIs, and background processing services.
• Select and configure AWS services to support scalability, reliability, and cost efficiency.
• Secure our AWS environment through least-privilege IAM, network isolation, encryption, secrets management, access controls, and ongoing security monitoring.
• Implement technical safeguards that support HIPAA and PHIPA compliance, including audit logging, secure storage, backup and recovery, data retention controls, and audit-ready documentation.
• Support deployment and operation of Python backend services, REST APIs, PostgreSQL databases, and asynchronous processing pipelines using Celery and RabbitMQ.
• Help integrate Amazon Bedrock and other AWS AI/ML services securely into our platform, with appropriate data protection and access controls.
• Build and maintain GitHub Actions deployment pipelines for development, staging, and production, and manage infrastructure with Terraform or AWS CDK.
• Implement automated security scanning, dependency and container vulnerability checks, patch management, threat detection, and incident response procedures.
• Establish application and infrastructure monitoring, centralized logging, alerting, automated backups, disaster recovery, and performance optimization.
• Track and optimize AWS spending using budgets, alerts, right-sizing, and regular infrastructure reviews.
• Document our cloud architecture, security practices, deployment procedures, and operational runbooks, and train our internal team to maintain the platform independently.

• AI
• AWS
• Architect
• Backend
• Cloud
• CloudWatch
• Celery
• DevOps
• Django
• Docker
• GitHub
• IAM
• Support
• Linux
• Network
• PostgreSQL
• Python
• REST
• RabbitMQ
• React
• Redis
• Security
• Terraform
• Web
• CI/CD
• LLM

More:

We are seeking an experienced, hands-on AWS DevOps and Cloud Security Engineer to help establish secure, scalable, and cost-efficient cloud infrastructure for our AI-powered neurotechnology platform. The role works closely with our development and AI teams. Compensation is $90,000–$105,000 per year, with dental care, paid time off, and work-from-home benefits. The position is hybrid remote in Toronto, Ontario.

last updated 44 week of 2026

• Completed college degree or specialization in a relevant field
• At least 2 years of experience in a similar role, customer service, or a call center
• Analytical and problem-solving skills
• Proficiency with computer tools, particularly Microsoft Office
• Bilingualism is required
• Excellent listening, verbal, and written communication skills
• Professional, diplomatic, and courteous manner

• Serve as the point of contact for questions and technical issues related to using electric vehicle charging stations
• Help customers complete payments at charging stations or through the app
• Validate government subsidy applications during quieter periods
• Guide customers in using the electric charging station app
• Listen carefully to customers needs and concerns, respond with empathy, and follow established procedures
• Maintain broad knowledge of the app and charging stations
• Clarify customer needs and use decision-support tools and resources to resolve non-standard issues
• Deliver an expert customer experience with a friendly approach

• Support
• Marketing

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At Groupe Marketing International, were looking for dynamic Technical Support Agents to join our dedicated team in a modern, bright office environment. This is a full-time, permanent role offering 37.5 hours per week at $19 per hour, plus a night-shift premium. The schedule runs seven days a week from 11:00 p.m. to 7:00 a.m. We offer flexible scheduling, on-site parking, individual workspaces, and offices located near a bus station and about two minutes from Carrefour Laval. The role offers an opportunity to learn and grow in a customer-focused, technology-driven setting.

last updated 44 week of 2026

• Formation en informatique et expérience significative dans un poste similaire
• Expérience en environnement MSP (services gérés)
• De 3 à 5 ans dexpérience en soutien informatique, idéalement auprès de petites et moyennes entreprises
• Au moins 2 ans dexpérience en soutien informatique
• Bonne maîtrise de Windows 10 et 11, de Microsoft Office 2010 ou version ultérieure, et de Microsoft Server 2016, 2019 et 2022
• Connaissance dActive Directory, DHCP, DNS, VPN et de la sécurité réseau
• Maîtrise de Microsoft 365 et des services infonuagiques
• Connaissance dAzure, un atout
• Capacité danalyse et de gestion des priorités, avec un excellent service à la clientèle
• Courtoisie, patience et professionnalisme
• Disponibilité pour travailler depuis la Rive-Nord de Montréal
• Disposition à se déplacer 25 % du temps

• Répondre aux demandes des utilisateurs et résoudre les problèmes logiciels et matériels
• Échanger avec les clients afin de comprendre leurs besoins et dassurer un suivi efficace
• Former les utilisateurs aux procédures et à lutilisation des équipements et logiciels
• Remplir et gérer les bons de commande de chaque client
• Mettre à jour les renseignements des clients dans le CRM
• Surveiller le rendement quotidien des systèmes informatiques
• Diagnostiquer les problèmes techniques, en rechercher la cause et les résoudre
• Informer les clients et les fournisseurs des problèmes techniques majeurs
• Installer et configurer les équipements, le câblage, les systèmes dexploitation et les logiciels

• CRM
• Microsoft 365
• VPN
• Windows
• Office 365
• Active Directory
• Azure
• Cloud
• DevOps
• Support

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Chez Express PME, nous cherchons une personne généraliste et polyvalente en informatique, capable de répondre aux besoins variés des PME; le poste nest pas axé sur ladministration réseau ni sur une spécialité très pointue. Il sagit dun emploi permanent à temps plein, en présentiel, à raison de 40 heures par semaine, rémunéré entre 27 $ et 32 $ lheure. Nous offrons un RVER et du stationnement sur place.

last updated 44 week of 2026

• University degree in Accounting or Computer Science, or an equivalent combination of education, training, and experience.
• At least five years of experience with financial systems, enterprise applications, and databases; experience in the legal or professional services industry is strongly preferred.
• Experience maintaining and supporting enterprise financial applications in a professional services firm.
• Knowledge of accounting procedures, budgeting concepts, and finance and accounting principles.
• Strong troubleshooting skills and the ability to understand how components and transactions connect across enterprise systems.
• Experience with Aderant Expert and other financial systems used in the legal sector, plus advanced Excel and SSRS or comparable business reporting tools.
• Advanced database reporting and report-writing skills; advanced user-level knowledge of Microsoft SQL Server and T-SQL; and experience with system integrations and the design and implementation of financial or other enterprise systems.
• PowerShell and scripting expertise for automation, monitoring, configuration, and custom solutions.
• Excellent written, verbal, and interpersonal communication skills for working with technical and non-technical users, sharing knowledge, troubleshooting, and gathering requirements.
• Ability to work independently and collaboratively, with strong organization, time management, multitasking, and prioritization skills.
• Project management experience, including evaluating client requirements, estimating time, defining tasks and priorities, and tracking progress.
• Commitment to keeping current with relevant technology and database developments.

• Support the ongoing operation of financial systems by contributing to projects, maintaining and developing existing systems, managing system security, and helping implement upgrades.
• Troubleshoot and diagnose application issues, including software performance and functionality problems.
• Work with Finance & Accounting and Information Services through enterprise application lifecycle activities, including requirements gathering, design, programming, integration, and testing.
• Analyze data to identify application issues and defects, and resolve them.
• Prepare documentation and training, and help users develop their knowledge of our financial systems and data.
• Create, review, and maintain procedures, builds, system processes, and internal administration documents for assigned systems.
• Recommend ways to optimize the performance of our enterprise financial applications.
• Administer and monitor financial systems, including Aderant Expert, Expert Image, Chrome River, Prebill Viewer, Intapp Intake, Intapp Terms, Intapp Time, Intapp Walls, and custom applications, to maintain database integrity, system health, control, and efficiency.
• Coordinate with Finance & Accounting and Information Services to assess technology needs and recommend solutions that address stakeholder requirements.

• Excel
• Support
• PowerShell
• SQL
• Security
• TSQL

More:

We are Osler, Hoskin & Harcourt LLP, one of Canadas leading business law firms, advising corporate leaders and U.S. and international organizations with interests in Canada. Our more than 1,000 firm members work from offices in Toronto, Montréal, Ottawa, Vancouver, Calgary, and New York. We foster a culture of mentoring and sharing ideas, and this Enterprise Application Analyst role reports to our Manager, Enterprise Applications. The expected annual compensation range is $120,000–$135,000, with the final offer based on job-related knowledge, education, skills, and experience. We currently work in a hybrid arrangement, primarily from the office, with the option to work remotely up to one day per week. We welcome applicants from diverse backgrounds, identities, and cultures, and provide accommodations throughout the selection process upon request. Any employment offer is conditional on background and reference checks, including criminal record, credit, employment, and education checks. We use artificial intelligence to screen, assess, or select applicants.

last updated 44 week of 2026

• Proficiency in C#, .NET Framework 4.x, and .NET Core/.NET versions 3.1, 5, 6, and 7.
• Front-end development experience with JavaScript, AJAX, Bootstrap, Telerik, and HTML/CSS.
• Strong experience with ASP.NET MVC, Web API, and Entity Framework.
• Solid understanding of SQL Server, including T-SQL, indexing, and performance optimization.
• Familiarity with IIS application hosting and configuration.
• Experience with Git and GitHub.
• Ability to write clean, maintainable, well-documented code.
• Helpful but not required: Knowledge of AWS Aurora PostgreSQL or AWS DynamoDB, AWS Lambda, AWS Fargate, Angular, React, and Node.js containers; experience or interest in AI agent development or AI-assisted coding.
• Experience with deployment automation tools.
• Familiarity with RESTful API design, JSON, and Okta authentication.
• Understanding of networking concepts, Windows Server environments, and cloud platforms such as Azure or AWS.

• Design, develop, and maintain enterprise applications using .NET Framework and .NET Core in an MVC architecture.
• Build and support web applications using ASP.NET MVC, ASP.NET Web Forms, and Razor Pages.
• Build and support cloud-based applications using HTML, CSS, Java, Angular, React, and Node.js.
• Develop and optimize backend services and APIs using .NET Core Web API.
• Design SQL Server databases, create stored procedures, tune performance, and support data integration.
• Use Visual Studio, GitHub, and IIS for development, version control, and deployment.
• Implement responsive front-end interfaces using JavaScript, AJAX, Bootstrap, Telerik UI, and jQuery.
• Maintain and enhance legacy ASP.NET Web Forms systems.
• Participate in the full software development lifecycle, from requirements gathering and design through development, testing, deployment, and maintenance.
• Create and maintain technical documentation, including system design documents, user manuals, wireframes, and architectural diagrams.
• Work directly with clients to understand requirements, provide technical guidance, and deliver customized solutions.
• Define and track individual and team goals, aligning them with project timelines and business objectives.
• Develop an understanding of our logistics and business processes and apply it to effective software solutions.
• Perform additional tasks and responsibilities as assigned by management.

• .NET Framework
• AI
• AJAX
• API
• ASP.NET
• AWS
• Lambda
• Angular
• Azure
• Backend
• Bootstrap
• C#
• Cloud
• CSS
• Git
• GitHub
• Support
• JSON
• Java
• JavaScript
• MVC
• PostgreSQL
• React
• SQL
• Telerik
• Visual Studio
• Web
• Windows
• jQuery
• UX UI Design
• NodeJS
• DevOps

More:

We are Purolator International, a U.S.-based supply chain logistics solutions provider specializing in air and ground forwarding of express, freight, and parcel shipments, customs brokerage, fulfillment, and delivery services to, from, and within North America. We are a subsidiary of Purolator Inc., a leading integrated freight, package, and logistics provider in Canada. As a Technology Developer, you will lead technical delivery and support for customer automation applications, working across existing Microsoft-based applications and future cloud modernization. We offer a Total Rewards package that includes medical, prescription, dental, and vision coverage; employer-funded health savings, disability, and life insurance; retirement contributions; an annual bonus plan; paid time off and holidays; extended parental leave; military/reserves leave; tuition assistance; wellness programs; and discounts on identity theft protection and pet insurance. We also support local communities, employee education and empowerment, gender equality and minorities, and efforts to reduce our environmental footprint. This hybrid role is based in our Woodbury, New York office, with three days per week onsite; the regular schedule is Monday through Friday, 8:30 a.m. to 5:00 p.m. EST, and the role is not remote. The work includes extended periods of sitting, sustained visual or auditory attention, and repetitive activities such as typing, data entry, and answering the phone. The base pay range is $85,502–$103,670, with pay dependent on work location and job-related knowledge, skills, and experience. We value diverse perspectives and life experiences and encourage candidates from all backgrounds to apply. Applicants receive consideration without regard to protected characteristics, and we will work with candidates who need recruitment-process accommodations. We participate in E-Verify in certain locations as required by law; employment offers are contingent on lawful pre-employment checks, which may include background and reference checks.

last updated 44 week of 2026

• Bachelors degree in Information Technology, Computer Science, Business, or a related field, or equivalent experience.
• At least five years of experience managing IT projects, including multiple concurrent projects, and hands-on use of more than one project management methodology.
• Demonstrated experience delivering a major data migration or system cutover.
• Working knowledge of Google Workspace and Microsoft 365 administration concepts, licensing, and migration paths.
• Solid understanding of network infrastructure, including LAN/WAN, Wi-Fi, firewalls, VPNs, and ISP circuits.
• Experience with project tracking tools such as Smartsheet, Jira, Microsoft Project, Asana, or ServiceNow SPM.
• Strong written and verbal communication skills, including reporting project status and risks to senior leadership.
• At least two years working in or closely with an IT service desk, with an understanding of incident, request, problem, and change management.
• Ability to manage vendors, contracts, and budgets.
• Experience delivering projects under privacy, security, accessibility, or regulatory frameworks is preferred, including relevant student or consumer privacy, payment security, cybersecurity, accessibility, or audit requirements.
• Preferred experience includes IT integration for mergers and acquisitions; ServiceNow ITSM implementations; Google Workspace or Microsoft 365 tenant migrations; identity and access projects; and work in K-12, higher education, or multi-campus organizations.
• Preferred certifications include PMP, PgMP, PMI-ACP, CSM/PSM, PRINCE2, or ITIL 4 Foundation.
• The role requires the ability to perform its essential duties, with reasonable accommodations available for qualified individuals with disabilities. Duties may involve walking, standing, sitting, lifting, carrying, reaching, and other physical activities, along with reading, writing, speaking, listening, and clear vision and hearing, with or without correction.

• Lead IT projects from initiation through go-live and handoff to IT operations, defining scope, schedules, budgets, resources, milestones, risks, and stakeholder communications.
• Choose and adapt Agile, Scrum, Waterfall, Kanban, PRINCE2, or hybrid delivery approaches; maintain project plans, status reports, decision records, and RAID logs; and help IT leadership prioritize concurrent projects.
• Lead IT work for acquisitions and divestitures, from due diligence and Day 1 readiness through integration; assess systems, contracts, and security, and develop integration roadmaps.
• Coordinate identity, email, device, network, application, and data migration activities, including mapping, cleansing, validation, testing, cutovers, reconciliation, sign-offs, rollback planning, and protection of sensitive data.
• Manage Google Workspace and Microsoft 365 projects, ServiceNow projects, and technology infrastructure work such as site build-outs, WAN/LAN upgrades, Wi-Fi improvements, firewall changes, and circuit transitions.
• Incorporate regulatory, privacy, and security requirements into project plans; partner with security and compliance teams on risk assessments, vendor reviews, and audit evidence; and complete change documentation before go-live.
• Serve as the primary project contact for sponsors, school leaders, and business teams; communicate progress, risks, and decisions; manage vendors and implementation partners; and coordinate user communications and training.
• Prepare the service desk for launches, including ticket categories, routing, SLAs, knowledge articles, and staffing; use service trends to identify improvement opportunities; and lead improvements such as self-service portals, catalog redesigns, automation, and ITIL-aligned processes.

• Firewall
• ITIL
• ITSM
• JIRA
• Kanban
• LAN
• Microsoft 365
• Network
• Project Manager
• Security
• ServiceNow
• Office 365
• Ada
• Azure
• Cloud
• Support
• Spring
• Web
• Windows

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Spring Education Group is a national network of independent schools serving students from preschool through 12th grade. We believe students can achieve more than they imagine, and our schools offer thoughtfully designed programs led by expert educators to foster academic excellence, independence, and a lasting love of learning. Our tuition-funded model supports an open, transparent culture and strong community, and we are expanding our network to bring our approach to more families across America. As our IT Project Manager, you will work with IT operations, shared services, academic and school leaders, and external vendors to deliver dependable technology for students, families, and employees. Travel is infrequent, with up to 10% for integrations, acquisitions, and team meetings; occasional evening or weekend work may be needed for emergencies, cutovers, and maintenance. We offer medical, dental, and vision insurance, paid holidays and sick days, a 401(k) with company match, tuition discounts for employees children, professional development, education reimbursement and partnerships, an employee referral bonus, and remote flexibility with an office option for hybrid work. We are an equal opportunity employer and prohibit unlawful discrimination and harassment.

last updated 44 week of 2026

• Strong knowledge of departmental operations, equipment, tools, manufacturing processes, quality standards, and safety procedures, including proper use of personal protective equipment.
• Demonstrated leadership skills, including the ability to guide, mentor, and train employees.
• Proficiency with ERP or production-tracking systems, including M2M, and the ability to use computers to review orders, generate reports, and manage production information.
• Strong communication, organizational, problem-solving, decision-making, and time-management skills.
• Ability to work independently, prioritize responsibilities, and make effective decisions under pressure.
• Mechanical or technical aptitude relevant to the assigned department, including the ability to identify production challenges and help develop practical solutions.
• Ability to communicate effectively with employees, supervisors, and other departments, and to maintain accurate records and production documentation.
• Physical ability to stand, walk, bend, reach, and perform departmental tasks; ability to lift up to 100 pounds.
• Commitment to teamwork, productivity, accountability, safety, and a positive work environment.
• Preferred: Previous experience as a Work Leader, Lead Operator, or in a similar manufacturing leadership role.
• Preferred: Experience in metal fabrication or industrial manufacturing, M2M software, production scheduling, work order management, employee training, on-the-job training programs, continuous improvement, performance metrics, workflow optimization, or coordinating activities across multiple workstations or manufacturing cells.

• Coordinate daily departmental tasks and assignments to support efficient workflow and consistent production.
• Perform departmental duties at the highest required skill level and assume leadership responsibilities when the Foreman or Supervisor is unavailable.
• Guide, motivate, and support employees, including providing training, on-the-job instruction, troubleshooting, and assistance with technical or operational questions.
• Use company systems, including M2M and other ERP software, to review open orders, manage work orders, support production scheduling, generate reports, and monitor departmental activity.
• Ensure workstations and production cells have the assignments, materials, and resources needed to meet production goals.
• Monitor production performance and work quality, identify inefficiencies, and help implement continuous improvement initiatives while ensuring work meets company standards and customer specifications.
• Promote a safe, organized, and productive work environment by following and reinforcing company safety standards.
• Coordinate with Planning, Quality, Maintenance, and other departments to sustain workflow and resolve operational issues.
• Report equipment malfunctions, material shortages, quality concerns, and production delays to the appropriate supervisor.
• Help prioritize work orders and adjust daily assignments as production needs change.
• Maintain accurate production information, work order updates, and required departmental documentation.
• Demonstrate professionalism, accountability, teamwork, and commitment to company values; maintain consistent attendance, punctuality, and productivity.
• Take on additional tasks assigned by the Foreman or Supervisor to support departmental operations, production needs, and organizational objectives.

• ERP
• Foreman
• Support

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We are hiring a full-time Work Leader for our Manufacturing / Operations department in Polkton, North Carolina. Reporting to the Foreman or Production Supervisor, this role supports the daily operation of the department and helps maintain production continuity, particularly when a supervisor is unavailable. At Southern Fabricators, the Work Leader serves as a resource for employees and contributes to teamwork, accountability, safety, and continuous improvement. Compensation is $18–$23 per hour.

last updated 44 week of 2026

• We need a bachelors degree in electrical engineering, automation engineering, or a closely related discipline.
• We are looking for hands-on experience with PLC programming and HMI/SCADA development, with Ignition preferred.
• We require commissioning experience, including I/O verification and sequence testing.
• We need familiarity with motor controls, PID loops, VFDs, sensors, and industrial instrumentation.
• We expect the ability to read, mark up, and revise electrical schematics, P&IDs, and technical documentation.
• We need strong analytical thinking, troubleshooting ability, and problem-solving skills.
• We value excellent communication skills and the ability to work well on a team.
• We require the ability to travel up to 40% to our company and supplier sites across North America.
• Preferred: 2+ years of relevant experience.
• Preferred: proficiency with electrical design tools such as AutoCAD Electrical or EPLAN.
• Preferred: experience designing and building control panels using applicable design standards.
• Preferred: strong knowledge of industrial communication protocols such as Modbus and Ethernet/IP.
• Preferred: understanding of database integration, including SQL, MES, or data historians.
• Preferred: experience with controls for utility systems such as steam and refrigeration.
• We require a high priority on food safety, quality, and sanitation, with commitment to our food safety and sanitation policies and procedures.
• We require accountability for food safety and sanitation expectations, including communicating incidents, observations, or opportunities to leadership or teammates.
• We need consistent and reliable attendance.
• We require the physical ability to perform the job with or without accommodations, including lifting, carrying, pushing, pulling, stooping, kneeling, crouching, crawling, and frequent fine finger dexterity.
• We require the ability to sit, walk, and stand for extended periods, work in temperature variations and a food manufacturing environment, maintain unrestricted visual and audio abilities for safety, and lift up to 40 lbs.

• We design, develop, implement, and maintain industrial automation systems, including PLC, HMI, and SCADA applications.
• We program, test, and commission PLC/HMI control systems for both new and existing equipment.
• We design, build, modify, and maintain control panel layouts and electrical schematics.
• We develop and update P&IDs and instrumentation diagrams using CAD software.
• We create Functional Design Specifications and Control Narratives.
• We specify, integrate, and calibrate industrial sensors and measurement devices.
• We troubleshoot automation hardware and instrumentation issues.
• We ensure compliance with industry standards, safety regulations, and company policies.
• We lead and manage automation initiatives across the full project lifecycle, from concept through commissioning.
• We collaborate with engineering, maintenance, and production teams to improve automation and control processes.
• We stay current on emerging automation technologies and best practices.
• We perform other duties as assigned.

• Ethernet
• Hardware
• Support
• PLC
• SQL

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We are hiring an Automation Engineer for an onsite role in American Fork, Utah. In this position, we work in a fast-paced manufacturing environment focused on industrial automation, control, and instrumentation systems. Our team values detail-oriented, analytical professionals who can support food safety, quality, and sanitation in a food manufacturing production setting. The role includes collaboration across engineering, maintenance, and production, as well as travel to our company and supplier sites across North America.

last updated 44 week of 2026

• We require a high school diploma or GED.
• We require graduation from an accredited Medical Assistant program, or an equivalent background such as CNA, LPN, or RN.
• We require a current LSRT or Limited Scope X-Ray certification, or RT certification, in line with state guidelines.
• We require current BLS or CPR certification.
• We require prior medical assistant experience in a physician practice or outpatient clinic.
• We require strong computer proficiency and EMR experience, which is required or strongly preferred.
• We need the ability to support both routine family practice visits and sports medicine-related appointments.
• We prefer national Medical Assistant certification such as CMA, RMA, or an equivalent credential.
• We prefer 1 to 3 years of experience in family practice, primary care, urgent care, orthopedics, or sports medicine.
• We prefer experience assisting with musculoskeletal injuries, bracing, splinting, and return-to-play processes.
• We prefer familiarity with Athenahealth or similar practice management and EMR platforms.
• We prefer bilingual candidates.
• We expect strong interpersonal skills, clear communication, professionalism, attention to detail, multitasking ability, teamwork, flexibility, dependability, and a commitment to confidentiality and ethical care.

• We prepare patients for x-ray procedures, verify orders, follow radiation safety practices, and complete accurate documentation and image workflow.
• We greet patients, escort them to exam rooms, and collect medical history, demographic details, and clinical information.
• We obtain and record vital signs, medications, allergies, immunization status, social history, and other intake information in the electronic medical record.
• We assist providers during examinations, procedures, and treatments for family medicine and sports medicine patients.
• We perform point-of-care and ancillary clinical testing within our training, certification, clinic policy, and state regulations.
• We carry out limited scope radiologic procedures as ordered and permitted by certification and state rules.
• We support sports medicine and orthopedic care through injury intake, ace wrap application, basic dressings, minor wound care, puncture wound soaking as directed, and splinting assistance within scope.
• We perform EKGs, specimen collection, venipuncture, and other back-office clinical tasks as allowed by training and policy.
• We complete pre-visit planning and review outstanding clinical needs before appointments.
• We manage provider and staff inbox messages, voicemails, and patient communications throughout the day.
• We keep exam rooms, treatment areas, supplies, and storage spaces clean, organized, and fully stocked.
• We complete required logs and equipment checks, including refrigerator temperatures, emergency medications, oxygen, and expired supplies.
• We clean and disinfect patient care areas and equipment according to infection prevention standards.
• We follow OSHA, HIPAA, safety, radiation, and clinic compliance requirements at all times.
• We provide compassionate, age-appropriate, service-focused care to patients and families.
• We assist with front office operations when needed, including phone coverage, scheduling, check-in, check-out, and records processing.
• We attend required training sessions, meetings, and competency updates.
• We maintain required certifications and stay current on clinic systems, workflows, policies, and procedures.
• We carry out additional duties as needed to support clinic and patient care operations.

• Support
• Network
• Flow

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We are OnPoint Medical Group, a physician-led network of primary care and urgent care providers committed to expanding access to high-quality healthcare in a cost-effective and accessible way. Our Circle of Care model focuses on supporting the health and wellness of patients and their families through coordinated services across our neighborhoods, with physicians, nurses, specialists, labs, and medical records working together seamlessly. This role is based at our Castle Pines Family Practice and Sports Medicine location, where we are looking to add a skilled Medical Assistant with LSRT or RT certification to our growing team. We offer a collaborative clinical environment, a salary range of $29.00 to $33.00 per hour, and a benefits package that includes medical, dental, and vision coverage, company-paid life insurance, voluntary disability options, AFLAC plans, FSA options, 401(k) eligibility after six months with an immediate 4% match, and paid time off. We are an equal opportunity employer and may extend the posting beyond the initial minimum period.

last updated 44 week of 2026

• We require a bachelors degree or higher in Computer Science, Machine Learning, or a related quantitative discipline such as Statistics, Economics, Operations Research, Analytics, Mathematics, or Engineering
• We require at least 6 years of programming experience with Python, Java, Golang, or C++
• We require at least 6 years of machine learning experience using industry-standard frameworks such as PyTorch or TensorFlow, along with libraries like Pandas, NumPy, and Scikit-learn
• We require at least 6 years of experience working with large-scale distributed systems such as Spark or Ray to prepare AI/ML data
• We require at least 4 years of experience deploying and operating machine learning solutions in production, including cloud-based production services and Kubernetes-managed, large-scale containerized ML systems

• We design, build, and deliver ML models and components that address real business challenges in partnership with Product and Data Science teams
• We build and scale large multi-tenant platforms that support training and serving ML models at significant scale
• We use our understanding of ML modeling techniques, data, and feature selection to guide infrastructure decisions
• We write and test application code, develop and validate ML models, and automate testing and deployment to solve complex problems
• We work within cross-functional Agile teams to develop and improve software for advanced big data and ML applications
• We retrain, maintain, and monitor models running in production
• We leverage or create cloud-based architectures, technologies, and platforms to deploy optimized ML models at scale
• We build efficient data pipelines that supply ML models
• We apply continuous integration and continuous delivery best practices, including test automation and monitoring, to support successful deployments
• We ensure code is well managed to reduce vulnerabilities, models are governed from a risk perspective, and ML practices align with Responsible and Explainable AI
• We use programming languages such as Python, Scala, or Java

• AI
• Big Data
• Cloud
• Golang
• Support
• Java
• Kubernetes
• Machine Learning
• PyTorch
• Python
• Scala
• Spark
• TensorFlow
• numpy
• pandas
• AWS
• Azure
• CI/CD
• GCP
• Model Training

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At Capital One, we are seeking Machine Learning Engineers who are passionate about using cutting-edge open source frameworks, advanced algorithms, and emerging technologies to help drive major AI transformations and scale production models. You will join a large community of makers, breakers, doers, and disruptors in a fast-paced, collaborative, inclusive, and iterative environment focused on solving real customer needs. We offer a comprehensive, competitive, and inclusive benefits package covering health, financial, and other wellbeing needs, along with performance-based incentive compensation. This role is based in McLean, VA, with location-specific pay ranges and potential sponsorship for a new qualified applicant for employment authorization. We also maintain an equal opportunity, drug-free workplace and accept applications for a minimum of 5 business days.

last updated 44 week of 2026

• High school diploma or GED.
• At least 4 years of experience in information technology and/or IT technology consulting and support.
• A bachelors degree in business administration, marketing, computer science, analytics, or a related field is an additional qualification.
• At least 5 years of experience in ecommerce, digital product management, online merchandising, or digital commerce operations.
• At least 2 years of experience owning an ecommerce channel, digital customer experience, or commercial improvement roadmap, including prioritizing initiatives and measuring results.
• Hands-on experience with ecommerce platforms, merchandising, promotions, reporting, and customer purchasing workflows; Shopify experience is preferred.
• B2B ecommerce experience involving customer registration, customer-specific pricing, self-service, and seller-assisted purchasing.
• Experience collaborating across business, marketing, digital, and IT teams to deliver customer-facing improvements and advance acquisition, conversion, retention, or repeat purchasing.
• Experience integrating ecommerce with ERP, CRM, inventory, product information, or order management systems.
• Experience with customer research, usability testing, web analytics, or structured experimentation.
• Experience in equipment distribution, agriculture, energy, industrial products, or a related technical product environment.
• Ability to translate business needs into requirements, prioritize roadmaps, and use data to achieve measurable business results.
• Depending on position requirements and applicable industry guidelines, candidates may need to pass some or all applicable pre-employment screenings, which may include drug, criminal, motor vehicle, physical requirements, and FMCSA Clearinghouse checks.

• Lead our commercial ecommerce strategy for propane and petroleum equipment websites, supporting self-service and seller-assisted purchasing.
• Identify ways to acquire and retain customers, grow ecommerce sales, and improve profitability across customer segments.
• Own the ecommerce customer journey and prioritized improvement roadmap, covering registration, product discovery, checkout, and repeat ordering.
• Turn customer and business needs into actionable requirements, then work with IT and technical teams to implement and validate improvements.
• Set governance for online product assortment, product information, navigation, merchandising, and promotions.
• Work with business stakeholders and marketing to develop promotional priorities, ecommerce content, and digital sales resources.
• Define and monitor ecommerce KPIs, including sales, conversion, registration completion, and customer retention.
• Own ecommerce EDI integrations and oversee their performance and reliability.
• Recommend, implement, and measure enhancements to improve ecommerce channel performance.
• Oversee daily ecommerce operations and coordinate the resolution of customer-facing issues.
• Establish effective workflows across sales, marketing, IT, digital, customer service, and equipment teams to support delivery and ongoing improvement.
• Support a strong safety culture by following applicable safety policies, procedures, and regulations.

• CRM
• ERP
• Support
• Marketing
• Product Owner
• Shopify
• Web

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We are CHS Inc., a global agribusiness owned by farmers, ranchers, and cooperatives across the United States. We provide grain, food, and energy resources to businesses and consumers worldwide, with employees in 19 countries. As our Senior Equipment Ecommerce Product Owner, you will lead the digital commerce experience for energy equipment, helping improve acquisition, conversion, retention, and profitability through a coordinated customer buying experience. We offer a competitive total rewards package that may include base pay and, depending on the position, bonuses, incentives, or commissions. Benefits include medical, dental, and vision coverage, wellness programs, life insurance, health and dependent care spending accounts, paid time off, 401(k), pension, profit sharing, short- and long-term disability, tuition reimbursement, and adoption assistance, subject to plan eligibility. We are an equal opportunity employer, including veterans and people with disabilities.

last updated 44 week of 2026

• At least 2 years of experience in a similar, fast-paced help desk environment
• A bachelors degree in a related field, or equivalent experience or training
• Strong customer service skills, with experience supporting users by phone, email, and in person
• Ability to upgrade computer hardware, including replacing hard drives and screens and installing memory
• Ability to maintain the confidentiality of sensitive data
• Careful attention to detail, along with documentation and technical writing skills
• Ability to manage multiple tasks and priorities independently and as part of a team
• Experience deploying operating system images for Windows, ChromeOS, macOS, and iOS
• Experience with mobile device management or enterprise mobility management (MDM/EMM)
• Availability to provide on-call and after-hours support for critical incidents and maintenance windows
• A good driving record that can be maintained
• Technical, analytical, organizational, and troubleshooting skills
• Experience with an enterprise ticketing system such as ServiceNow
• Fluency in English
• Knowledge of the ITIL framework and how to apply it
• Knowledge of current desktop software environments, including Windows, macOS, iOS, Android, Linux, web browsers, email clients, and office applications
• Basic to intermediate network troubleshooting skills, including enterprise wireless deployment
• Familiarity with Google Workspace/G Suite, Google Apps, and Office 365
• Preferred: MCITP, MCTS, CCNA, A+, Network+, or a similar certification
• Preferred: Experience in an educational environment using edtech applications

• Install, deploy, and configure computers for customers
• Diagnose and resolve client-side network, operating system, software, and other IT issues
• Provide hardware support and deploy new computers
• Manage hardware assets, including desktops, laptops, printers, and spare parts
• Enter trouble tickets in ServiceNow and escalate issues to the appropriate teams when needed
• Support other IT teams with network and server issues and the installation and configuration of hardware
• Participate in meetings to stay informed about company-wide IT projects
• Visit campuses to resolve technical issues and perform related duties as needed
• Provide remote technical support

• Android
• Hardware
• Support
• ITIL
• Linux
• macOS
• Mobile
• Network
• Office 365
• ServiceNow
• Spring
• Web
• Windows
• iOS

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We are Spring Education Group, a national network of independent schools serving students from preschool through 12th grade. Our schools offer carefully designed programs led by expert educators, with a focus on academic excellence, student independence, and a lasting love of learning. Our tuition-funded model supports an open, transparent culture and strong communities, and we are expanding our network to bring our approach to more families across the country. As our IT Support Technician, reporting to the Senior IT Support Manager, you will serve as a first point of contact for internal and external customers and help advance IT in our classrooms and corporate office. The position is based primarily in our Campbell, California office, with frequent travel—more than 50%—to local campuses within 50 miles, as well as remote work when needed; travel is reimbursed according to company policy. The role involves frequent walking, standing, sitting, driving, and computer use, and may include long hours and varied physical activity, including lifting up to 40 pounds. We provide reasonable accommodations for qualified individuals with disabilities. We are an equal opportunity employer and prohibit unlawful discrimination and harassment.

last updated 44 week of 2026

• At least 1 year of experience in a data center, central office, telecommunications, or similar technical environment
• Experience installing and mounting equipment in racks
• Knowledge of structured copper cabling, including Cat5e, Cat6, and Cat6A, and fiber-optic patching
• Basic understanding of server, storage, and network hardware
• Ability to read installation diagrams, rack elevations, and work instructions
• Strong attention to detail and organizational skills
• Ability to lift up to 50 pounds and perform work involving standing, bending, ladder climbing, and confined spaces
• Comfort working overnight shifts

• Install servers, network switches, storage devices, and related hardware in racks
• Install, route, label, and organize copper and fiber-optic cabling to industry standards
• Patch and disconnect network and power connections as directed
• Assist with hardware replacements, upgrades, and equipment decommissioning
• Troubleshoot basic hardware, cabling, and connectivity issues
• Complete equipment installations, moves, adds, and changes
• Accurately document completed work, asset details, and cable changes
• Follow data center standards for cable management, labeling, and documentation
• Respond to service tickets and complete work within established service-level agreements
• Visually inspect equipment and report abnormalities or potential issues
• Receive, stage, and organize hardware to support inventory management
• Keep the data center clean and organized
• Follow facility safety procedures and security protocols
• Collaborate with engineers, network teams, and other technicians to complete projects

• Hardware
• Support
• Network
• Security

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We are seeking a dependable, detail-oriented Data Center Technician for our operations team in Tampa, Florida. The role supports day-to-day data center operations in a fast-paced, mission-critical environment and involves hands-on technical work. This is an onsite, contract-to-hire position with a 40-hour workweek and compensation of $23–$28 per hour, based on experience. System One and its subsidiaries, including Joulé and Mountain Ltd., provide outsourced services and workforce solutions across North America, helping clients work efficiently and economically without compromising quality. We offer eligible employees benefit options that include medical, dental, vision, spending accounts, life insurance, voluntary plans, and participation in a 401(k) plan. We are an equal opportunity employer and consider qualified applicants without regard to characteristics protected by applicable law.

last updated 44 week of 2026

• 2–3 years of experience in data center operations or a related role
• Understanding of core data center components and server hardware
• Hands-on troubleshooting and break-fix skills
• Basic networking knowledge, including IP, switching, and patching
• Familiarity with fiber and Ethernet cabling
• Familiarity with ticketing tools such as ServiceNow and console tools such as SSH or PuTTY
• Strong coordination and communication skills
• Ability to manage physical inventory and logistics tasks
• Comfortable working rotating shifts
• Attention to detail and accurate documentation

• Rack and stack servers, network devices, and storage equipment
• Install, relocate, and decommission hardware
• Handle fiber and copper cabling, including labeling and cable management
• Receive, verify, and inspect hardware shipments; maintain asset records and spares inventory
• Coordinate hardware returns, dispatch, and logistics tracking
• Provide Level 1 support for incidents and service requests through ticketing tools
• Perform initial troubleshooting of server hardware and Layer 1 network connectivity issues, escalating issues with appropriate logs and updates
• Provide remote hands support, including reseating cables, power cycling devices, setting up console access, and replacing hardware as directed
• Monitor data center alerts and dashboards, and keep tickets updated with troubleshooting steps and status
• Maintain documentation, inventory records, and audit records
• Follow data center security and access protocols, ESD and PPE standards, and audit and compliance requirements

• Ethernet
• Hardware
• Support
• Network
• Security
• ServiceNow

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We are seeking a Level 1 Data Center Technician to support data center operations, hardware management, incident handling, and remote hands tasks. The role involves physical equipment and inventory work in a data center environment and requires working rotating shifts.

last updated 44 week of 2026

• Knowledge of basic telecommunications hand tools, customer service, and job-site safety requirements.
• Ability to read and understand floor plans, blueprints, design documents, and building documentation.
• Familiarity with wiring schemes, wiring tests, low-voltage cable installation, field terminations, labeling, and cable dressing.
• Ability to lay out MDF and IDF closets and install ladder racking and seismic bracing above or below raised floors.
• Basic understanding of copper and fiber testing and troubleshooting; experience with fusion splicing, including ribbon, single, OSP, or ISP fiber.
• Ability to install, connect, and decommission network equipment; conduct service swaps of live devices; and distinguish live cables from decommissioned cables.
• Experience operating and programming DSX 5000 or OTDR testers, downloading results to Linkware or Linkware Live, and submitting verified test results to customers.
• Ability to create and apply mass labels according to port maps and familiarity with the FIM database and scanners.
• Ability to maintain organized paperwork and handle service jobs.
• Effective verbal, written, visual, and listening communication skills.
• Dexterity to operate equipment, computers, and technical instruments; ability to pull cables and lift and carry equipment weighing up to 50 pounds.
• Ability to walk, stand, and bend for extended periods, with some sitting, and to climb ladders.
• Applicants must complete a background check, drug screening, and employment verification.

• Install and decommission network and cabling infrastructure in a data center.
• Deliver sustainable, repeatable processes and solutions, and identify opportunities for improvement.
• Provide stakeholders with structured updates on project progress and collaborate with them to resolve project obstacles.
• Maintain quality workmanship and data center cleanliness, and follow production, safety, and quality standards, codes, and industry best practices.
• Read and interpret blueprints and building documentation, including redlines.
• Dress and furcate fiber trunks for splicing, perform terminations and labeling, test and troubleshoot cabling, and submit verified test results to the customer.
• Install, connect, and decommission network equipment and conduct service swaps of live networking devices.
• Take daily direction from technicians and leads, and report to the Operations Manager.

• AI
• Network

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We are seeking 30 Data Center Technicians to start as soon as possible in Fort Wayne, Indiana. This is a six-month contract with a W-2 rate, paid overtime, paid time off, and health coverage. The schedule is Monday through Friday, 7 a.m. to 4 p.m., subject to change, with total weekly hours of 40–50 or more; overtime hours are to be determined. Relocation expenses are not provided. Our client is a global data center infrastructure provider supporting projects across the data center lifecycle, from assessment and design to installation, management, maintenance, and transformation. Its team draws on established methods, training, and decades of industry experience to deliver resilient, efficient, and safe infrastructure, including solutions for emerging technologies such as AI, automation, and next-generation compute platforms.

last updated 44 week of 2026

• A bachelors or masters degree in electrical engineering or computer engineering is required.
• At least 4 years of experience designing and debugging industry-standard computing platforms is required.
• Experience with hardware, firmware, or software development and test methodologies is preferred.
• Familiarity with key server technologies is preferred, including Intel, AMD, ARM multi-core processors, DDR4/DDR5, NAND memory, and PCA design.

• We work with customers and internal cross-functional teams to identify the root cause of hardware issues down to the component level.
• We conduct engineering investigations into major customer field and production line escalations involving hardware concerns.
• We monitor test failure patterns in NPI and implement corrective actions to improve production test yield.
• We design and develop debug tools that enhance troubleshooting efficiency and the overall debug workflow.
• We train technicians and debug team members on new and existing debug procedures and product troubleshooting methods.
• We support internal communication of techniques and processes for our worldwide RMA and service centers.
• We drive best practices across our global operations, RMA, and service sites.
• We manage reliability requirements for CSP and enterprise accounts.
• We facilitate discussions around reliability strategy.
• We perform other duties as assigned.

• ARM
• Firmware
• Hardware
• Support
• C++

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We are FII USA, Inc., a Foxconn Technology Group company, and we are seeking a Failure Analysis Engineer to join our Test and Reliability Engineering Department. In this office-based role, you will help resolve hardware issues, support customer escalations, and contribute to smart manufacturing by applying critical thinking and technical problem-solving. We offer a comprehensive benefits package that includes medical, dental, and vision coverage, basic life insurance, short- and long-term disability options, a 401K with employer contribution, paid personal, vacation, and holiday time off for full-time employees, and access to an onsite Aurora Health & Wellness Center. We also encourage continuous learning and career growth in smart manufacturing.

last updated 44 week of 2026

• Baccalauréat ou maîtrise en informatique, en génie ou dans un domaine connexe.
• Au moins 10 ans dexpérience en cybersécurité et/ou en développement logiciel, dont 3 ans ou plus en leadership technique.
• Expertise approfondie dans plusieurs domaines de la cybersécurité, notamment la sécurité applicative et des données, la sécurité des terminaux et des réseaux, la gestion des identités et des accès, lingénierie de détection, le renseignement sur les menaces, la réponse aux incidents et la gestion des risques liés aux tiers.
• Bonne maîtrise des principes darchitecture logicielle et des modèles modernes de conception de systèmes.
• Bonne connaissance des plateformes infonuagiques et des stratégies de sécurisation des ressources technologiques hébergées dans le nuage.
• Capacité démontrée à concevoir et à exploiter des systèmes évolutifs et résilients en production.
• Excellentes aptitudes en résolution de problèmes et aisance à travailler dans des situations ambiguës.
• Solides compétences en communication et en gestion des parties prenantes, permettant de faire le lien entre les équipes de cybersécurité et les responsables daffaires.
• Expérience avérée en mentorat de spécialistes en sécurité et en animation de communautés techniques.
• Bilinguisme français-anglais, car le poste exige des échanges réguliers avec des collègues partout au pays.
• Autorisation de travailler au Canada requise à la date dentrée en fonction et pendant toute la durée de lemploi. Une expérience professionnelle au Canada nest pas nécessaire.

• Définir les orientations technologiques liées à larchitecture et à la conception des initiatives de sécurité.
• Conseiller les spécialistes en sécurité et les aider à prendre des décisions éclairées face à des enjeux complexes et ambigus dans différents domaines de la sécurité.
• Mettre à profit son expertise pour renforcer lefficacité de léquipe dingénierie, notamment par le mentorat, lamélioration des mécanismes, la promotion des bonnes pratiques et la conduite dévolutions architecturales visant à réduire les risques.
• Favoriser la collaboration entre les équipes et établir des orientations techniques cohérentes avec les stratégies de lentreprise, de la technologie et de la sécurité.
• Travailler avec la haute direction et les autres Principals à la conception et à la mise en œuvre dinitiatives stratégiques pour maintenir un environnement de contrôle de sécurité durable et résilient.
• Repérer les possibilités damélioration et défendre des idées et initiatives innovantes pour faire évoluer les mécanismes en place.
• Évaluer les tendances du secteur, les technologies émergentes et lévolution des tactiques et techniques des acteurs malveillants, puis recommander des stratégies adaptées pour faire progresser les contre-mesures.
• Participer activement à la communauté technologique et promouvoir la technologie au sein de notre organisation et à lextérieur, en contribuant à faire avancer les intérêts dIntact.

• IAM
• Quant
• Security
• Vue

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Chez Intact, nos équipes sont au cœur de notre mission : aider les personnes, les entreprises et la société à progresser dans les bons moments et à traverser les périodes difficiles. Nous soutenons lengagement et le développement professionnel de nos employés dans un milieu où lon peut façonner lavenir, réussir ensemble et évoluer. Ce nouveau poste sinscrit dans une équipe en pleine croissance et combine expertise technique, vision stratégique, sens des affaires et mentorat afin de contribuer à réduire les risques de cybersécurité. Nous proposons des modalités de travail flexibles et hybrides, la possibilité dacheter jusquà cinq jours de vacances additionnels par année, des avantages favorisant le bien-être physique et mental, ainsi que des options dépargne et de retraite, dont un régime à prestations déterminées offrant un revenu de retraite garanti à vie. Léchelle salariale indicative est de 161 600 $ à 197 500 $ pour une semaine de 35 heures; la rémunération dépend de plusieurs facteurs et les candidatures hors de cette fourchette sont les bienvenues. Le poste comprend un boni annuel cible de 20 %, pouvant atteindre le double selon le rendement individuel et les résultats de lentreprise, ainsi quun régime dachat dactions auquel Intact contribue à hauteur de 50 % des actions nettes achetées par lemployé. Nous valorisons la diversité et nous engageons à offrir un milieu accessible, inclusif et respectueux, avec des mesures dadaptation possibles pendant le recrutement et en milieu de travail. Nous ne fournissons pas de parrainage ni de soutien aux démarches dimmigration; les personnes candidates doivent conserver leur admissibilité à travailler au Canada.

last updated 44 week of 2026

• Bachelors degree in computer science, or an equivalent combination of education and experience.
• 4–6 years of experience in cybersecurity, DevOps, or infrastructure, including experience with security monitoring platforms such as SIEM, SOAR, XDR, TIP, or UEBA.
• Understanding of threat actors and attack techniques, including phishing, privilege escalation, lateral movement, and data exfiltration.
• Experience with cloud security in AWS, Azure, or GCP, including identity, logging, and network controls.
• Experience with Azure VMs, Load Balancer, Terraform, Kubernetes, Linux, Python, Ansible, Syslog, Logstash, CrowdStrike, and Elastic.
• Strong communication, collaboration, prioritization, and troubleshooting skills.
• Excellent spoken and written communication skills in French and English, to interact regularly with colleagues across the country.
• Knowledge of detection engineering, rule writing, MITRE ATT&CK, and the Cyber Kill Chain is an asset.
• A security certification (CEH, GCIH, GCTI, GCFE, or equivalent) or a DevOps certification (CKA) is an asset.
• Must be eligible to work in Canada from the anticipated start date and throughout employment; Canadian work experience is not required.

• Design, implement, and maintain secure cloud, on-premises, and containerized environments supporting our SOC.
• Work with development, infrastructure, and security teams while managing priorities independently.
• Support log ingestion, normalization, filtering, troubleshooting, and platform maintenance.
• Manage core SOC security tools, including Microsoft Sentinel, CrowdStrike, Microsoft Purview, and our Agentic Internal platform.

• AWS
• Ansible
• Azure
• Cloud
• DevOps
• GCP
• Support
• Kubernetes
• Linux
• Network
• Python
• Security
• Terraform

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At Intact, we believe our employees are central to helping people, businesses, and society prosper and remain resilient. We are seeking an experienced Senior Security Advisor to strengthen Detection Engineering within our cyber defence team, with a focus on cloud and infrastructure security, threat detection, and scalable security solutions. We offer flexible arrangements and a hybrid work model, the option to purchase up to five additional days off annually, wellbeing benefits including telemedicine and a wellness account, a share plan and savings opportunities, an annual bonus with a 12% target and potential payout of up to twice the target, and pension options that include a defined benefit plan offering the opportunity for guaranteed lifetime income. Our salary range is $101,800–$124,400, based on a 35-hour workweek; compensation depends on factors including experience, skills, qualifications, anticipated contribution, and internal equity, and candidates outside the range are encouraged to apply. We are an equal opportunity employer committed to an accessible, inclusive workplace, and we welcome applications from equity-deserving groups. We provide workplace accommodations and will work with candidates to support accessibility needs during recruitment. We do not provide immigration sponsorship or other immigration-related support.

last updated 44 week of 2026

• Baccalauréat en informatique, ou combinaison équivalente de formation et dexpérience.
• De 4 à 6 ans dexpérience en cybersécurité, en DevOps ou en infrastructure.
• Expérience en surveillance de la sécurité, notamment avec des plateformes SIEM, SOAR, XDR, TIP ou UEBA.
• Connaissance de lingénierie de détection, de la rédaction de règles, du cadre MITRE ATT&CK et de la Cyber Kill Chain.
• Compréhension des acteurs malveillants et des techniques dattaque, notamment lhameçonnage, lélévation des privilèges, les mouvements latéraux et lexfiltration de données.
• Expérience en sécurité infonuagique avec AWS, Azure ou GCP, notamment en gestion des identités, journalisation et contrôles réseau.
• Expérience avec les machines virtuelles Azure, léquilibreur de charge Azure, Terraform, Kubernetes, Linux, Python, Ansible, Syslog, Logstash, CrowdStrike et Elastic.
• Solides aptitudes en communication, collaboration, gestion des priorités et résolution de problèmes.
• Maîtrise du français et de langlais, puisque le poste implique des échanges réguliers avec des collègues partout au pays.
• Une certification en sécurité, par exemple CEH, GCIH, GCTI ou GCFE, ou une certification DevOps/CKA, constitue un atout.
• Autorisation de travailler au Canada requise; aucune expérience de travail au Canada nest exigée.

• Concevoir, mettre en œuvre et maintenir des environnements sécurisés dans le nuage, sur site et conteneurisés.
• Collaborer avec les équipes de développement, dinfrastructure et de sécurité, tout en gérant les priorités de manière autonome.
• Prendre en charge lingestion, la normalisation et le filtrage des journaux, ainsi que leur dépannage et la maintenance des plateformes.
• Administrer les principaux outils de sécurité, notamment Microsoft Sentinel, CrowdStrike, Microsoft Purview et notre plateforme agentique interne.

• AWS
• Ansible
• Azure
• DevOps
• GCP
• Kubernetes
• Linux
• Python
• Terraform
• Cloud
• Quant
• Security
• Vue

More:

Chez Intact Assurance, nos équipes aident les personnes, les entreprises et la société à progresser et à traverser les périodes difficiles. Nous recrutons un ou une conseiller·ère principal·e en sécurité expérimenté·e pour renforcer notre équipe dingénierie de la détection au sein de la défense contre les cybermenaces, avec un accent sur la sécurité infonuagique et des infrastructures, la détection des menaces et les solutions évolutives. Nous proposons des modalités de travail flexibles et hybrides, la possibilité dacheter jusquà cinq jours de vacances supplémentaires, des avantages pour le bien-être physique et mental, ainsi que des programmes dépargne et de retraite. Léchelle salariale indicative est de 101 800 $ à 124 400 $ pour une semaine de 35 heures; la rémunération dépendra notamment de lexpérience, des compétences et de léquité interne. Le boni annuel cible est de 12 %, avec un versement pouvant atteindre le double de la cible selon le rendement individuel et les résultats de lentreprise. Notre régime dachat dactions prévoit une cotisation dIntact équivalant à 50 % des actions nettes achetées par lemployé, et nous offrons également un régime de retraite à prestations déterminées. Nous nous engageons à favoriser un milieu accessible, inclusif et respectueux, et à soutenir les mesures dadaptation durant le recrutement et au travail. Nous encourageons les candidatures de personnes de groupes dignes déquité. Intact noffre pas de parrainage ni de soutien en matière dimmigration; les personnes retenues doivent être admissibles à travailler au Canada pendant toute la durée de leur emploi.

last updated 44 week of 2026

• Degree in Software Engineering, Computer Science, or a related discipline.
• At least 7 years of experience developing production software and platforms, particularly involving automation, integrations, and product reliability.
• Experience owning products end to end, from technical design and prototyping through implementation, testing, rollout, and maintenance.
• Strong system design skills, including designing scalable, resilient, observable services and understanding design patterns and trade-offs.
• Expertise in at least one backend language: Java, Python, Go, or Node.js/TypeScript, and relevant frameworks such as Spring Boot/MVC, Express.js, or NestJS.
• Frontend experience building single-page applications, preferably with Angular; React or Next.js experience is also suitable. Familiarity with component architecture, state management, and secure user experience patterns is expected.
• Skills in clean coding, automated unit, integration, and end-to-end testing, code reviews, and continuous improvement.
• Experience developing secure REST or GraphQL APIs and integrations, including authorization, input validation, and error handling.
• Familiarity with data modeling and SQL or NoSQL persistence, performance tuning, and migration strategies.
• Knowledge of logging, metrics, tracing, health checks, performance profiling, and service-level objectives (SLOs).
• Experience designing and implementing CI/CD pipelines for application delivery, including security steps and quality gates.
• Ability to break down complex problems, set clear acceptance criteria, and deliver iteratively with measurable outcomes.
• Ability to guide colleagues, lead design reviews, and influence architecture.
• Familiarity with cloud-native application design on AWS, Azure, or GCP; Docker; and basic Kubernetes orchestration concepts, including security considerations.
• Exposure to AI/LLM product development, prompt engineering, model integration, evaluation and validation, and data privacy considerations.
• Working knowledge of application security fundamentals and standards, such as the OWASP Top 10, secure coding practices, and supply chain security.
• Experience integrating or operating SAST/DAST, dependency, and cloud security tools, including incorporating vendor products into developer workflows.
• Strong communication skills and the ability to explain security and engineering concepts to varied audiences.
• ServiceNow AVR exposure is an asset. Certifications such as CISSP or CEH are optional.
• Must be eligible to work in Canada; Canadian work experience is not required.
• Candidates located in Quebec must be bilingual, as the role involves regular interaction with English-speaking colleagues across Canada.

• Architect and develop reusable services, APIs, and libraries that apply application security best practices at scale.
• Build and enhance backend and/or frontend features, writing clean, maintainable code.
• Create automation to coordinate compliance assessments.
• Develop self-service security products that improve the secure software development lifecycle (SSDLC) and speed up secure delivery.
• Implement AI-assisted capabilities for contextual vulnerability triage and proactive security guardrails.
• Automate security posture analytics and create executive-ready dashboards using tools such as Grafana and Power BI to highlight trends, coverage, and risk signals.
• Collaborate with product, architecture, and design colleagues to ensure solutions meet user needs.
• Encourage adoption through demonstrations, guidance, and workshops.

• AI
• AWS
• Angular
• Architect
• Azure
• Backend
• CI/CD
• Cloud
• Docker
• Frontend
• GCP
• Grafana
• GraphQL
• Support
• Java
• Kubernetes
• LLM
• MVC
• NestJS
• NoSQL
• OWASP
• Power BI
• Python
• REST
• React
• SQL
• Security
• ServiceNow
• Spring
• Spring Boot
• TypeScript
• NodeJS
• ExpressJS
• E2E
• UX UI Design

More:

We are Intact, where our employees are central to helping people, businesses, and society prosper in good times and remain resilient in difficult ones. This is a new position on our growing security team, focused on building next-generation security products that integrate security into modern engineering workflows with minimal friction. We offer flexible work arrangements and a hybrid work model, the option to purchase up to five additional days off annually, benefits supporting physical and mental wellbeing, a share plan and other savings opportunities, an annual bonus, and pension options that include a defined benefit plan with the possibility of guaranteed lifetime income. The stated salary range is $118,700–$145,100, based on a 35-hour workweek, with a 15% annual bonus target and potential payout of up to twice the target; compensation depends on factors such as experience, skills, qualifications, anticipated contribution, and internal equity. We are an equal opportunity employer committed to accessibility, inclusion, and accommodation throughout the recruitment process. We do not provide immigration sponsorship or other immigration-related support; candidates are responsible for maintaining eligibility to work in Canada.

last updated 44 week of 2026

• Bachelors degree in Information Technology, Computer or Software Engineering, and/or a specialization in Cybersecurity.
• 8–10 years of experience in Information Technology or Information Security.
• Strong knowledge of cybersecurity principles and practices, information technology, IAM governance tools and concepts—including privileged access management (PIM) and provisioning/deprovisioning—and the Entra suite.
• Power BI programming experience is an asset.
• Excellent analytical and problem-solving abilities; detail-oriented, structured, and able to work independently.
• Demonstrated initiative, a positive attitude, team spirit, and eagerness to learn.
• Ability to explain complex topics clearly to executive leadership.
• Commitment to training, self-directed learning, and keeping cybersecurity skills current.
• SC-300, CISM, or CISSP certification is an asset.
• Excellent spoken and written French and English communication skills; the role involves regular interaction with colleagues across Canada.
• Authorization to work in Canada is required. Canadian work experience is not required.

• Establish IAM governance aligned with Partner Solutions strategy and objectives, as well as client needs.
• Assess technologies for user accounts, privileges, services, and identity management against organizational requirements.
• Conduct cost-benefit analyses of current and prospective technology solutions to inform the IAM program roadmap.
• Contribute to cross-functional efforts to improve identity protection.
• Optimize RBAC/ABAC attribute models for IT and security managed services, meeting internal and client needs at scale.
• Work with internal and external stakeholders to advance IAM solutions.
• Implement and automate processes that strengthen identity management and the security posture of a multi-client environment.
• Document IAM processes, architecture workflows, and best practices, and keep documentation current through periodic reviews.
• Apply continuous improvement practices to IAM and related processes using data-driven insights.

• IAM
• Support
• Power BI
• RBAC
• Security

More:

At Intact, we believe our employees are central to helping people, businesses, and society prosper and remain resilient. We offer flexible arrangements and a hybrid work model, the option to purchase up to five additional days off annually, physical and mental wellness benefits including telemedicine and a wellness account, and savings opportunities through our share plan. Our annual bonus has a 15% target, with potential payouts of up to twice the target depending on individual and company performance. Through our Employee Share Purchase Plan, we match 50% of employees net shares. We also offer a flexible pension program, including a defined benefit plan that can provide guaranteed lifetime income. The salary range is $118,700–$145,100, based on a 35-hour workweek; the final amount reflects factors such as experience, skills, qualifications, expected contribution, and internal equity. We welcome applicants whose profiles may fall outside the stated range. This new position joins our growing Partner Solutions team as its Identity and Access Management subject-matter expert, guiding IAM strategy and implementation in a multi-client environment. We are an equal opportunity employer committed to respect, accessibility, inclusion, and accommodation throughout the workplace and hiring process. Candidates must be eligible to work in Canada from their anticipated start date and maintain that eligibility; we do not provide immigration sponsorship or related support.

last updated 44 week of 2026

• Diplôme universitaire ou technique en réseaux ou en technologies.
• Plus de 10 ans dexpérience en environnements IP, idéalement sur des réseaux dentreprise critiques.
• Expérience pratique du routage et de la commutation Cisco, notamment BGP, EIGRP et les commutateurs Catalyst, y compris la série 9000.
• Expérience de Cisco ACI en site unique ou multisite, de Nexus Dashboard et de Nexus Dashboard Orchestrator.
• Expérience des réseaux sans fil dentreprise, notamment des points daccès Cisco et des contrôleurs de la série 9300, ainsi que des principes de conception RF et de loptimisation des performances.
• Connaissance de Cisco Catalyst Center pour lassurance réseau, lautomatisation et la gestion de la configuration.
• Expérience pratique de Cisco ISE, notamment TACACS+, RADIUS, 802.1X et le déploiement de politiques NAC.
• Expérience de ladministration dInfoblox DDI (DNS, DHCP et IPAM).
• Connaissances opérationnelles des réseaux infonuagiques GCP, AWS ou Azure, incluant la conception VPC/VNet, le routage, la connectivité hybride (VPN, Direct Connect ou ExpressRoute) et la segmentation.
• Expertise en équilibrage de charge L4-L7 et en distribution dapplications avec NetScaler ADC ou F5 BIG-IP, notamment SSL/TLS, les fonctions WAF et le pilotage du trafic.
• Compréhension approfondie de TCP/IP, HTTP/HTTPS, DNS, TLS et des services réseau connexes.
• Expérience en programmation et en automatisation réseau avec Python et Ansible, notamment pour la modélisation, la conformité, lorchestration et le déploiement de configurations.
• Les certifications pertinentes constituent un atout, par exemple CCNP, CCIE, Citrix CCE-App Delivery, F5 CA/CTS ou une certification de spécialiste ACI ou sans fil.
• Une expérience des cadres dautomatisation et des pipelines CI/CD pour les changements réseau et ADC est un atout.
• Maîtrise du français et de langlais, afin dinteragir régulièrement avec des collègues partout au pays.
• Autorisation de travailler au Canada requise; une expérience professionnelle au Canada nest pas nécessaire.

• Apporter une expertise technique de haut niveau aux opérations réseau dans les environnements LAN, WAN, de centre de données, de campus et infonuagiques.
• Concevoir, déployer et prendre en charge le routage BGP et EIGRP ainsi que la commutation Cisco, notamment sur les plateformes Catalyst et de la série 9000.
• Concevoir, déployer et exploiter Cisco ACI en site unique ou multisite, ainsi que Nexus Dashboard et Nexus Dashboard Orchestrator.
• Diriger la conception et lexploitation du réseau sans fil dentreprise avec des points daccès Cisco et des contrôleurs de la série 9300, en optimisant la couverture, la capacité et les performances.
• Exploiter et faire évoluer Cisco Catalyst Center pour lassurance réseau, lautomatisation et la gestion du cycle de vie.
• Mettre en œuvre et administrer Cisco ISE pour TACACS+, RADIUS et laccès réseau 802.1X, sur les réseaux filaires et sans fil.
• Gérer les services Infoblox DDI (DNS, DHCP et IPAM) et les intégrer aux processus de provisionnement réseau.
• Conseiller les équipes sur les bonnes pratiques de réseau infonuagique pour GCP, AWS et Azure, notamment en matière de connectivité hybride, de routage et de segmentation.
• Concevoir, déployer et optimiser des solutions de distribution dapplications et déquilibrage de charge avec NetScaler ADC, F5 BIG-IP ou une solution équivalente, en assurant la disponibilité, les performances, la résilience et la sécurité des services.
• Configurer les politiques L4/L7, notamment le changement de contenu, la persistance, les contrôles dintégrité, le déchargement SSL/TLS, la gestion du cycle de vie des certificats, les suites de chiffrement et le renforcement de la sécurité.
• Mettre en place et ajuster des fonctions avancées telles que GSLB, haute disponibilité, politiques de réponse et de réécriture, mise en cache, compression et limitation du débit; intégrer lauthentification et lauthentification unique (LDAP/AD, SAML, OAuth).
• Surveiller et dépanner les performances à laide des outils danalyse des plateformes, des journaux et doutils APM/NPM externes, puis mener des analyses des causes fondamentales lors des incidents.
• Développer et maintenir lautomatisation réseau et applicative avec Python et Ansible, en utilisant les API REST, les CLI, des modèles versionnés et des pipelines CI/CD pour assurer des déploiements reproductibles.
• Veiller à ce que les modèles dingénierie répondent aux exigences de niveaux de service, de disponibilité, de performance et de résilience; contribuer à la planification des capacités et au renouvellement du cycle de vie.
• Rédiger et réviser les demandes de changement et les procédures dexécution, réaliser des analyses dimpact et des tests contrôlés, puis effectuer les vérifications après mise en œuvre.
• Créer et tenir à jour la documentation, notamment les schémas réseau et ADC, les normes, les inventaires et les guides dexploitation; utiliser les outils de supervision et de gestion des ressources.
• Collaborer avec les équipes applicatives, de sécurité et transversales pour planifier les changements, faire respecter les normes et réaliser les mises en production en maîtrisant les risques.
• Participer à une rotation de garde afin dassurer une couverture 24 h sur 24, 7 jours sur 7, toute lannée, pour les infrastructures critiques; des heures supplémentaires peuvent être nécessaires en situation durgence.

• API
• AWS
• Ansible
• Azure
• CI/CD
• Citrix
• Cisco
• GCP
• HTTP
• LAN
• LDAP
• Nexus
• NPM
• OAuth
• Python
• REST
• SAML
• TCP/IP
• VPN
• WAF
• ASP.NET
• Cloud
• Support
• Network
• Quant
• Vue
• Web

More:

Chez Intact, nos équipes aident les personnes, les entreprises et la société à progresser dans les périodes favorables et à traverser les moments difficiles. Nous soutenons lengagement, le développement professionnel et la réussite collective dans un milieu où chacun peut contribuer à façonner lavenir. Le poste de spécialiste réseau est une nouvelle fonction au sein dune équipe en croissance, responsable de lévolution, du soutien et de la gouvernance de notre infrastructure réseau mondiale. La complexité de cette infrastructure et la croissance rapide de nos systèmes rendent linnovation et lagilité essentielles. Nous offrons des modalités de travail flexibles et hybrides, la possibilité dacheter jusquà cinq jours de vacances supplémentaires par année, ainsi que des avantages axés sur le bien-être, dont des soins de santé virtuels et un compte de dépenses mieux-être. Notre programme dachat dactions peut comprendre une cotisation dIntact équivalant à 50 % des actions nettes achetées, et nos régimes dépargne peuvent atteindre 12 % du salaire ou davantage. Nous proposons aussi un régime de retraite flexible et, pour les employés admissibles, un régime à prestations déterminées assurant un revenu viager. Léchelle salariale indicative pour une semaine de 35 heures est de 109 900 $ à 134 300 $, avec une prime annuelle cible de 15 % du salaire de base et un versement potentiel pouvant atteindre deux fois la cible selon le rendement individuel et les résultats de lentreprise. La rémunération finale tient compte de plusieurs facteurs, notamment lexpérience, les compétences, la contribution attendue et léquité interne; les personnes dont les attentes salariales se situent hors de cette fourchette sont également invitées à postuler. Nous valorisons la diversité et nous engageons à offrir un milieu accessible, inclusif et respectueux; nous encourageons notamment les candidatures des femmes, des personnes autochtones, des personnes handicapées, des personnes noires et des membres de la communauté 2ELGBTQI+.

last updated 44 week of 2026

• Baccalauréat en informatique ou dans un domaine connexe, ou equivalent combination of education and experience.
• Experience working in large, complex IT environments.
• Hands-on experience with Azure B2B Collaboration, Microsoft Defender for Identity, Microsoft Defender for Cloud, or similar tools.
• Hands-on experience with Microsoft Authentication Library (MSAL), Microsoft Graph API, and identity federation protocols such as OpenID Connect, OAuth 2.0, or SAML.
• Ability to identify problems and deviations from accepted practices and processes, and to troubleshoot effectively.
• Comfortable working independently in a fast-paced environment and enthusiastic about new technologies.
• French and English bilingualism, with regular interaction with colleagues across Canada.
• Eligible to work in Canada; prior work experience in Canada is not required.
• Ability to lead Azure AD identity and access management components, including Azure PIM, Azure Information Protection, and multifactor authentication.

• Collaborate with team members on Azure AD integration and federation projects.
• Help plan, implement, and integrate technology architecture and identity and access management solutions for complex projects.
• Implement improvements or recommend solutions to operational issues, and regularly communicate progress to stakeholders.
• Review, develop, and implement processes and procedures proactively.
• Help develop automation to improve operations.
• Contribute to requests for proposals, requests for quotations, and bills of materials as needed.
• Help improve core identity and access management processes.
• Onboard new Azure Privileged Identity Management administrators and manage their roles in Azure AD.
• Provide advanced support during major incidents.
• Provide on-call operational support 24/7 when required.

• API
• Azure
• Cloud
• Support
• OAuth
• OpenID
• SAML
• Security
• Quant
• Vue

More:

We are hiring an Azure AD Security Analyst II to serve as the Azure AD lead on our growing Identity and Access Management team, working closely with business partners and colleagues to integrate and evolve our identity provider. This is a newly created role reporting to the Director of Identity Access Security. Our teams help people, businesses, and society move forward and remain resilient. We offer flexible and hybrid work arrangements, the option to purchase up to five additional vacation days annually, wellness benefits including virtual health care and a wellness spending account, performance-based compensation, an annual bonus targeted at 10% with potential payouts up to twice the target, and employee share-purchase and retirement savings programs. The salary range is $80,700–$98,700 for a 35-hour work week; compensation depends on experience, skills, expected contribution, and internal equity. Our retirement offerings include a defined-benefit pension plan providing guaranteed lifetime income. We value diversity and inclusion, encourage applications from equity-deserving groups, and provide workplace accommodations. Applicants must be eligible to work in Canada; we do not provide immigration sponsorship or support.

last updated 44 week of 2026

• Degree or diploma in networking or technology.
• At least 5 years of experience in an IP-based environment.
• Hands-on experience with network hardware and software, LAN/WAN, data center infrastructure, and connectivity.
• Good understanding of TCP/IP, particularly IP packet routing protocols such as BGP, EIGRP, and MPLS.
• Intermediate knowledge of network administration, architecture, and engineering in mission-critical environments.
• Candidates located in Quebec must be bilingual, as the role involves regular interaction with English-speaking colleagues across Canada.
• Canadian work experience is not required, but candidates must be eligible to work in Canada from their anticipated start date and maintain that eligibility throughout employment. We do not provide immigration-related sponsorship or support.

• Evolve, support, and govern our global network and its security.
• Advance the performance and stability of our infrastructure and related components, with a strong focus on automation.
• Collaborate with colleagues to ensure smooth operation of our network infrastructure.
• Coordinate with vendors to resolve technical issues involving network equipment and software, and assess and address equipment vulnerabilities using vendor-recommended solutions.
• Deliver high-quality service to internal and external customers in keeping with our values.
• Implement and support LAN, WAN, switching and routing, load balancing, and data center infrastructure, including Cisco ACI and Netscaler load balancers.
• Design network engineering patterns to meet our service-level requirements.
• Write and review change requests as part of our change management process.
• Monitor system performance and implement optimizations.
• Contribute to documentation, including network diagrams and staff and vendor contacts, and use monitoring, resource, and inventory management tools.
• Work with managers to develop standards aligned with company guidelines and monitor compliance with those standards.
• Help resolve escalated issues and participate in problem management activities.
• Take part in an on-call rotation to provide 24/7/365 coverage for critical core and customer infrastructure; overtime may be required during emergencies.

• Cisco
• Hardware
• Support
• LAN
• Load Balancing
• MPLS
• Network
• Security
• TCP/IP
• Office 365

More:

We are Intact Financial Corporation, Canadas largest provider of property and casualty insurance and a leading specialty insurer in North America. Our expanding business relies on innovation, speed, and flexibility across IT. Youll join our network and security operations team in an essential role, with opportunities to work with future technologies, make decisions, and develop your career. We offer flexible arrangements and a hybrid work model, the option to purchase up to five additional days off annually, wellbeing benefits including telemedicine and a wellness account, a share plan and other savings opportunities, and pension plans that include the possibility of lifetime guaranteed income through our defined benefit plan. Our annual bonus target is 12% of base salary, with potential payouts of up to twice the target depending on individual and company performance; we also match 50% of employees net shares through the Employee Share Purchase Plan. The salary range is $101,800–$124,400, based on a 35-hour workweek; the final amount depends on factors such as experience, skills, qualifications, expected contribution, and internal equity, and applicants outside the range are welcome. We are committed to an accessible and inclusive workplace, equal opportunity, and providing accommodations throughout recruitment and employment.

last updated 44 week of 2026

• At least 5 years of experience in data or engineering.
• Strong experience with Spark/PySpark, Databricks (including Unity Catalog and Delta Lake), and AWS services such as S3, IAM, ECS/EKS, and ALB.
• Experience with Kafka, real-time event processing, and schema management.
• Expert Python skills and sufficient Java/Spring Boot experience to work with backend services.
• Hands-on MLOps experience with MLflow, GitLab CI/CD, Docker, Terraform, and monitoring tools such as Dynatrace.
• Strong collaboration and communication skills, including the ability to work across data science, engineering, infrastructure, and business teams.
• Able to give and receive constructive feedback respectfully and adapt communication to different audiences.
• French and English bilingualism, to interact regularly with colleagues across Canada.
• Must be eligible to work in Canada from the anticipated start date and throughout employment; sponsorship and immigration-related support are not provided.

• Build and maintain a path from discovery to production so Python or PySpark models can run on Databricks batch jobs and real-time Kafka streams without rewrites, while keeping technical debt low.
• Partner with the Platform Product Owner and Program Systems Business Analyst to turn architecture concepts into sprint work; write and review code, maintain quality, and help modernize legacy services with event-driven approaches.
• Improve MLOps practices with DevOps and QA, including testing, model versioning with MLflow and Unity Catalog, safe deployments, rollback plans, and drift monitoring.
• Support the Data Science team in evaluating algorithms and data feeds, including GPS, accelerometer, and Mapbox data, before production adoption.
• Collaborate with engineers across experience levels, provide feedback on code and design, and promote continuous improvement.
• Help resolve differences in priorities by engaging early, listening to perspectives, and supporting the team in reaching a way forward.
• Explain technical trade-offs to business stakeholders and translate business priorities for engineers, adapting communication to each audience.

• AI
• AWS
• Backend
• CI/CD
• Databricks
• DevOps
• Docker
• Dynatrace
• GitLab
• IAM
• Support
• Java
• Kafka
• MLflow
• MLOps
• Product Owner
• Python
• PySpark
• Spark
• Spring
• Spring Boot
• Terraform
• Unity
• Cloud
• GameDev
• Architect
• Big Data
• Security

More:

We are Intact, where our employees are central to helping people, businesses, and society prosper in good times and remain resilient in difficult ones. This is a new position on our growing team for a Senior AI Developer. We offer flexible and hybrid work arrangements, the option to purchase up to five additional days off annually, wellbeing benefits including telemedicine and a wellness account, savings and share plans, an annual bonus, and pension options that include a defined benefit plan offering the opportunity for guaranteed lifetime income. The salary range is $118,700–$145,100, based on a 35-hour workweek, with a 12% annual bonus target and potential payout of up to twice the target; compensation depends on factors such as experience, skills, qualifications, expected contribution, and internal equity. We are an equal opportunity employer committed to respect, inclusion, accessibility, and workplace accommodations. We welcome applications from equity-deserving groups and acknowledge the First Nations, Métis, and Inuit peoples whose lands we work, meet, and travel across.

last updated 44 week of 2026

• Baccalauréat en génie informatique, informatique ou combinaison équivalente détudes et dexpérience.
• Au moins 6 ans dexpérience pertinente en développement.
• Solide maîtrise de Python; lexpérience approfondie dAngular ou de React est un atout.
• Maîtrise de linfrastructure infonuagique, idéalement AWS, des conteneurs, de lIaC (Terraform), du CI/CD et de lobservabilité.
• Excellentes aptitudes en communication pour traduire les enjeux daffaires en solutions techniques, ainsi quune approche proactive et collaborative.
• Expérience des tests automatisés pour le backend et linterface utilisateur, et connaissance des outils et pratiques dobservabilité.
• Bonne compréhension des composantes de lIA générative : techniques dinvite, cadres agentiques, évaluations, garde-fous, RAG, embeddings et bases de données vectorielles, ajustement de modèles, graphDB avec LLM, MCP et modèles de raisonnement.
• Solides compétences en ingénierie des données; une expérience pratique de Databricks, notamment Unity Catalog et Delta Lake, est un atout.
• Compétences en codage assisté par IA et bonne connaissance des pratiques exemplaires de MLOps.
• Pour les personnes candidates situées au Québec, bilinguisme français-anglais requis en raison des collaborations fréquentes avec des collègues anglophones partout au Canada.
• Admissibilité à travailler au Canada requise; aucune expérience de travail au Canada nest nécessaire.

• Faire évoluer la plateforme MLOps afin daméliorer les processus opérationnels de lentreprise et den assurer la robustesse, la performance, lévolutivité, la fiabilité et lobservabilité.
• Prendre en charge la livraison de bout en bout de produits logiciels, de lorchestrateur de workflows aux API et services, jusquà linterface utilisateur.
• Collaborer étroitement avec les scientifiques des données et les analystes pour créer des solutions dIA fondées sur des données de qualité et alignées sur les besoins de lentreprise et ses objectifs stratégiques.
• Intégrer les solutions dIA aux systèmes dexploitation en assurance en coordonnant le travail avec les équipes des TI et des opérations sur les exigences techniques et les stratégies de déploiement.
• Suivre les progrès de lIA et de lapprentissage automatique, appliquer de nouvelles méthodes pour améliorer les solutions déployées et enrichir les connaissances de léquipe.
• Employer les outils CI/CD et les méthodes agiles afin de livrer rapidement et de façon fiable les fonctionnalités et les mises à jour.
• Agir comme leader technique et mentor auprès des membres de léquipe, et contribuer à orienter la feuille de route technique.

• API
• AWS
• Backend
• CI/CD
• Databricks
• LLM
• MCP
• MLOps
• Python
• RAG
• React
• Terraform
• Unity
• Cloud
• GameDev
• Angular
• JavaScript
• Quant
• UX UI Design
• Vue

More:

Nous recrutons une personne développeuse intermédiaire en IA pour un rôle essentiel au sein de notre équipe en croissance. Chez Intact, nos équipes aident les personnes, les entreprises et la société à avancer dans les périodes favorables et à traverser les moments difficiles. Nous soutenons le développement professionnel et la réussite collective dans un milieu où chacun peut contribuer à façonner lavenir. Nous proposons des modalités de travail flexibles et hybrides, la possibilité dacheter jusquà cinq jours de vacances supplémentaires, des avantages pour le bien-être physique et mental, ainsi que des régimes dépargne pouvant représenter jusquà 12 % du salaire ou plus. La rémunération indicative se situe entre 94 200 $ et 115 200 $, avec une prime annuelle cible de 10 % pouvant atteindre le double selon le rendement individuel et les résultats de lentreprise. Notre programme dachat dactions prévoit une cotisation dIntact correspondant à 50 % des actions nettes achetées par la personne salariée. Nous offrons également des régimes de retraite flexibles, dont un régime à prestations déterminées procurant un revenu garanti à vie. Nous favorisons un milieu accessible, respectueux et inclusif, et proposons des mesures dadaptation pendant le processus de recrutement et au travail.

last updated 44 week of 2026

• Baccalauréat en génie informatique ou en informatique, ou combinaison équivalente de formation et dexpérience.
• Au moins 6 ans dexpérience pertinente en développement.
• Excellente maîtrise de Python pour le développement backend et dun framework frontend comme Angular ou React.
• Maîtrise du développement assisté par lIA, notamment avec des outils comme GitHub Copilot, Claude Code et Kiro.
• Expérience des tests automatisés backend et frontend, ainsi que connaissance des pratiques et outils dobservabilité.
• Expérience de linfrastructure infonuagique, idéalement AWS, et de services comme Amazon S3, Snowflake et BigQuery; connaissance de Docker, Kubernetes, Terraform, du CI/CD et de lobservabilité.
• Excellentes aptitudes en communication, capacité à traduire des enjeux daffaires en solutions techniques, proactivité, aptitude à accompagner le changement et esprit déquipe.
• Solide expérience de Git pour le contrôle de version, la révision de code et la collaboration.
• Capacité à expliquer clairement des concepts complexes.
• Solides compétences en ingénierie des données; lexpérience de Databricks, notamment Unity Catalog ou Delta Lake, est un atout.
• Bonne compréhension des composantes de lIA générative : techniques de formulation dinvites, cadres dagents, évaluations, garde-fous, RAG, embeddings, bases de données vectorielles, affinage de modèles, bases de données de graphes avec des modèles de langage, MCP et modèles de raisonnement.
• La connaissance des pratiques exemplaires en MLOps est un atout.
• Pour les personnes situées au Québec, connaissance du français et de langlais requise en raison de collaborations fréquentes avec des collègues anglophones ailleurs au Canada.
• Autorisation de travailler au Canada requise; aucune expérience de travail au Canada nest exigée.

• Intégrer des solutions dintelligence artificielle adaptées, notamment à laide de technologies comme FastAPI, afin daméliorer les processus opérationnels tout en assurant robustesse, performance, évolutivité, fiabilité et observabilité.
• Veiller à lintégration harmonieuse des solutions dIA aux systèmes existants des opérations dassurance et coordonner avec les équipes des technologies de linformation et des opérations les exigences techniques et stratégies de déploiement.
• Collaborer avec les scientifiques des données et les analystes pour que les solutions dIA répondent aux besoins daffaires, sappuient sur des données de qualité et correspondent aux objectifs stratégiques.
• Suivre les avancées en génie logiciel et en intelligence artificielle, appliquer de nouvelles techniques pour améliorer les solutions en production et contribuer au développement des connaissances de léquipe.
• Prendre en charge la livraison complète des fonctionnalités, des pipelines de données et des modèles aux API, services et interfaces utilisateur.
• Utiliser des outils dintégration et de déploiement continus ainsi que des méthodes agiles pour livrer rapidement et de façon fiable les fonctionnalités et mises à jour.
• Assumer un rôle de leadership technique, encadrer les membres de lescouade et contribuer à orienter la feuille de route technologique.

• API
• AWS
• Angular
• BigQuery
• Backend
• CI/CD
• Claude Code
• Copilot
• Databricks
• Docker
• FastAPI
• Frontend
• Git
• GitHub
• Kubernetes
• MCP
• MLOps
• Python
• RAG
• React
• Snowflake
• Terraform
• Unity
• Cloud
• GameDev
• Quant
• Vue

More:

Chez Intact, nous aidons les personnes, les entreprises et la société à avancer dans les périodes favorables et à faire preuve de résilience dans les moments difficiles. Nous recherchons un développeur principal en IA généraliste, spécialisé en développement full stack Python et Angular ou React, pour un nouveau poste au sein de notre équipe en pleine croissance. Nous soutenons lévolution professionnelle et le développement de nos employés dans un milieu où ils peuvent façonner lavenir et réussir en équipe. Nous proposons des modalités de travail flexibles et hybrides, la possibilité dacheter jusquà cinq jours de vacances supplémentaires par année, des avantages favorisant le bien-être physique et mental, ainsi que des régimes dépargne et de retraite, dont un régime à prestations déterminées offrant un revenu de retraite garanti à vie. Léchelle salariale indicative est de 118 700 $ à 145 100 $, pour une semaine de travail de 35 heures; la rémunération dépendra notamment de lexpérience, des compétences, de la contribution attendue et de léquité interne. Le poste prévoit une prime annuelle cible de 12 % du salaire de base, pouvant atteindre le double de la cible selon le rendement individuel et les résultats de lentreprise. Nous partageons notre succès au moyen dun programme de primes et dun régime dachat dactions auquel nous versons une cotisation équivalant à 50 % des actions nettes achetées par lemployé. Nous valorisons la diversité et nous engageons à offrir un milieu accessible, inclusif et respectueux, avec des mesures dadaptation au processus de recrutement et en milieu de travail. Les personnes retenues doivent être autorisées à travailler au Canada; nous noffrons pas de parrainage ni de soutien aux démarches dimmigration.

last updated 44 week of 2026

• Bachelors degree in computer science or a related discipline, or an equivalent combination of education and experience.
• Experience in large, complex IT environments and practical experience with Azure B2B Collaboration, Defender for Identity, Defender for Cloud, and related technologies.
• Hands-on experience with Microsoft Authentication Library (MSAL), Microsoft Graph API, and identity onboarding using OpenID Connect, OAuth 2.0, or SAML.
• Ability to lead Azure AD identity and access management components, including Azure Privileged Identity Management (PIM), Azure Information Protection (AIP), and multi-factor authentication (MFA).
• Strong problem-solving skills, including the ability to identify issues and gaps in established processes and practices.
• Enthusiasm for emerging technologies and the ability to work independently in a fast-paced environment.
• Candidates located in Quebec must be bilingual, as the role involves regular interaction with English-speaking colleagues across Canada.
• Must be eligible to work in Canada from the anticipated start date and throughout employment. Canadian work experience is not required; we do not provide immigration-related sponsorship or support.

• Lead Azure AD and work with business partners and our IAM team to integrate and develop it as our organizations identity provider.
• Collaborate on Azure AD integration and federation projects.
• Help plan, implement, and integrate technology architecture and IAM solutions for complex projects.
• Address operational issues by implementing improvements or recommending solutions, and keep stakeholders informed of progress.
• Review, develop, and implement processes and procedures, and contribute to ongoing improvements in key IAM practices.
• Develop automation to improve operations.
• Participate in requests for proposals, requests for quotations, and bills of materials as needed.
• Onboard administrators into Azure PIM and manage their Azure AD roles.
• Provide senior-level assistance during major incidents and 24/7 on-call operational support when required.

• API
• Azure
• Cloud
• IAM
• Support
• OAuth
• OpenID
• SAML
• Security

More:

We are Intact, where our employees help people, businesses, and society prosper in good times and remain resilient in difficult ones. This is a new position on our growing Identity and Access Management team: Security Analyst II – Azure AD, reporting to the Director of Identity Access Security. We offer flexible and hybrid work arrangements, the option to purchase up to five additional days off annually, wellbeing benefits including telemedicine and a wellness account, and savings and share plans. Our Employee Share Purchase Plan includes a 50% match on net shares, and our pension options include a defined benefit plan offering the opportunity for guaranteed lifetime income. The salary range is $80,700–$98,700, based on a 35-hour workweek, with a 10% annual bonus target and potential payout of up to double the target, subject to individual and company performance. Compensation is determined based on factors such as experience, skills, qualifications, expected contribution, and internal equity; candidates outside the range are also encouraged to apply. We are an equal opportunity employer committed to an accessible and inclusive workplace, and we provide accommodations during recruitment and employment.

last updated 44 week of 2026

• Masters degree in computer science, mathematics, AI, engineering, or a related field, or equivalent education and experience.
• At least 5 years of experience applying data science and developing products, with a strong focus on NLP and machine learning.
• Experience integrating Large Language Models (LLMs) with APIs and using evaluation techniques.
• Experience developing, deploying, and maintaining software in cloud environments; AWS experience is strongly preferred.
• Production experience with Python, GitHub, AWS, and CI/CD tools.
• Expert-level understanding of machine learning theory.
• Ability to address loosely defined problems with creative approaches.
• Ability to collaborate and coach junior team members, with enthusiasm for teamwork.
• Strong communication, time-management, and organizational skills.
• Must be eligible to work in Canada; Canadian work experience is not required.

• Design and develop end-to-end AI solutions for real business challenges.
• Lead the exploration, implementation, and testing of new NLP solutions.
• Turn complex, unstructured data into actionable insights and outcomes.
• Analyze software usage patterns and recommend improvements.
• Work with stakeholders to understand their needs and translate them into technical solutions.
• Collaborate with data scientists, developers, and designers to build software in AWS.
• Serve as a technical lead and go-to resource for our data science team.
• Coach and mentor junior team members.
• Lead and uphold data science best practices in coding, peer review, experimentation, and testing.

• AI
• AWS
• CI/CD
• Cloud
• GitHub
• Machine Learning
• Python
• Support

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Were looking for a Senior Data Scientist to join our growing team at Intact. Our employees are at the heart of our work helping people, businesses, and society prosper in good times and remain resilient in challenging times. This is a permanent, hybrid role combining working from home with meaningful in-person interactions. We offer performance-based financial rewards, an employee share purchase plan with a 50% match on net shares purchased, pension and benefits with virtual healthcare, flexible work arrangements, the option to purchase up to five additional days off, a wellness account, health and wellbeing resources, learning programs, employee-led networks, supportive leaders and colleagues, and a community impact program. We are committed to an accessible, inclusive workplace where diverse perspectives are valued, and we provide workplace adjustments and recruitment accommodations.

last updated 44 week of 2026

• Bachelors degree in computer engineering, computer science, or equivalent education and experience.
• At least 6 years of significant software development experience.
• Strong Python skills; experience with Angular or React is an asset.
• Proficiency with cloud infrastructure, ideally AWS, containers, infrastructure as code (Terraform), CI/CD, and observability.
• Experience with automated backend and UI testing, and familiarity with observability tools and practices.
• Understanding of generative AI concepts and tools, including prompting, agent frameworks, evaluations, guardrails, RAG, embeddings and vector databases, model fine-tuning, graph databases with LLMs, MCP, and reasoning models.
• Strong data engineering skills; experience with Databricks technologies such as Unity Catalog and Delta Lake is an asset.
• Proficiency in AI-assisted coding and a good understanding of MLOps best practices.
• Strong communication skills and the ability to translate business problems into technical solutions; a proactive, collaborative approach and willingness to drive change.
• Candidates located in Quebec must be bilingual in French and English because of frequent collaboration with English-speaking colleagues across Canada.
• Must be eligible to work in Canada from the anticipated start date and throughout employment. Canadian work experience is not required; we do not provide immigration sponsorship or related support.

• Develop and improve our MLOps platform to strengthen operational processes, robustness, performance, scalability, reliability, and observability.
• Lead end-to-end delivery of software products, including workflow orchestration, APIs and services, and front-end interfaces.
• Partner with data scientists and analysts to ensure AI solutions meet business needs, use high-quality data, and support strategic goals.
• Coordinate with IT and operations teams to integrate AI solutions with existing insurance systems and align on technical requirements and deployment plans.
• Keep current with AI and machine learning developments, apply relevant techniques to improve deployed solutions, and share knowledge with the team.
• Use CI/CD tools and agile practices to deliver features and updates quickly and reliably.
• Provide technical leadership and mentorship to squad members and influence the technical roadmap.

• AI
• AWS
• Angular
• Backend
• CI/CD
• Cloud
• Databricks
• Fine-tuning
• Support
• Machine Learning
• MCP
• MLOps
• Python
• RAG
• React
• Terraform
• Unity
• UX UI Design
• GameDev
• Security

More:

We are seeking a Senior AI Developer for a new position on our growing team at Intact. Our employees are central to our work helping people, businesses, and society prosper and remain resilient. We offer flexible arrangements and a hybrid work model, the option to purchase up to five additional days off annually, physical and mental wellbeing benefits, a share plan and savings opportunities, an annual bonus, and pension options that include a defined benefit plan offering guaranteed lifetime income. The salary range is $118,700–$145,100, based on a 35-hour workweek, with a 12% target annual bonus and potential payouts of up to twice the target, subject to individual and company performance. Compensation is determined based on factors such as experience, skills, qualifications, anticipated contribution, and internal equity; candidates outside the stated range are also encouraged to apply. We are committed to respect, accessibility, inclusion, and equal opportunity, and we provide workplace and recruitment accommodations. We welcome applications from equity-deserving groups and acknowledge the First Nations, Métis, and Inuit peoples whose lands we work, meet, and travel across.

last updated 44 week of 2026

• At least 3 years of professional, non-internship software development experience
• At least 2 years of non-internship experience with software design or architecture, including design patterns, reliability, and scaling for new and existing systems
• At least 1 year of experience as a software development engineer or in a related occupation
• At least 1 year of experience designing and developing large-scale, multi-tiered, multithreaded, embedded, or distributed software applications, tools, systems, and services using C#, C++, Java, or Perl
• At least 1 year of object-oriented design experience
• A bachelors degree or foreign equivalent in computer science, engineering, mathematics, or a related field
• Experience programming in at least one software language
• Preferred: At least 3 years of experience across the full software development life cycle, including coding standards, code reviews, source control, build processes, testing, and operations
• Preferred: A bachelors degree in computer science or equivalent
• Preferred: Experience leading large, fast-moving projects
• Preferred: Strong problem-solving skills and experience addressing ambiguous or undefined challenges
• Preferred: Experience architecting, securing, and operating Amazon Web Services

• Design, build, and operate customer-facing capabilities across native and web clients
• Develop client software for customer endpoints across major operating systems and browsers
• Support and improve secure session connectivity, client lifecycle, cross-platform architecture, user experience, performance, software updates, and operational telemetry
• Build integrations that support human and AI-agent workflows, including enterprise permissions, governance, observability, and human oversight
• Own features from initial design through production
• Collaborate with teams across AWS to solve complex issues in customer-managed environments
• Maintain high standards for security, reliability, and operational excellence
• Evolve the Amazon WorkSpaces client experience to support agentic workloads while extending the established service

• AI
• AI Agents
• AWS
• C#
• Cloud
• Embedded
• Support
• Java
• Perl
• Security
• Web
• DevOps

More:

We are part of the AWS Applied AI Solutions organization, working to deliver intuitive business applications that help customers manage day-to-day operations. Our Agentic WorkSpaces Client team builds the software people use to securely access desktop and web applications, and is extending that experience so AI agents can work through it as well. We support Amazon WorkSpaces, a mature, highly scaled service used by millions of end users, and offer the opportunity to help build agent infrastructure while evolving a proven system. Our work spans client and cloud technologies, operating systems, web, networking, security, and distributed services. We value customer focus, inclusion, learning, mentorship, and work-life harmony, and offer flexible work arrangements and career-development resources. The role is based in Seattle, Washington. The listed annual base salary range is $143,700–$194,400 USD; compensation may also include sign-on payments and restricted stock units. Benefits include health coverage, a 401(k) match, paid time off, and parental leave. We are an equal opportunity employer and provide workplace accommodations during the hiring process.

last updated 44 week of 2026

• At least 3 years of professional, non-internship software development experience
• At least 2 years of non-internship experience designing or architecting new and existing systems, including design patterns, reliability, and scaling
• At least 1 year of experience as a software development engineer or in a related occupation
• At least 1 year of experience designing and developing large-scale, multi-tiered, multi-threaded, embedded, or distributed software applications, tools, systems, or services using C#, C++, Java, or Perl
• At least 1 year of Object-Oriented Design experience
• Bachelors degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
• Experience programming in at least one software language
• Preferred: At least 3 years of full software development lifecycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations
• Preferred: Bachelors degree in Computer Science or equivalent

• Design, develop, test, and deploy distributed machine learning systems and large-scale solutions for customers worldwide
• Build and maintain scalable ingestion pipelines for multimodal content, including PDFs, audio, video, and tables
• Improve system performance and retrieval capabilities while processing millions of documents
• Collaborate with applied scientists, product managers, and partner teams to integrate machine learning models and deliver customer-focused features
• Help shape team strategy and roadmap, lead system architecture decisions, and establish engineering best practices
• Monitor system metrics, develop features, optimize retrieval algorithms, and troubleshoot distributed systems
• Coach and mentor junior engineers through code reviews and technical discussions

• AWS
• C#
• Computer Vision
• Embedded
• Support
• Java
• Machine Learning
• Perl
• RAG
• Cloud
• Backbone
• DevOps

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Were hiring a Software Development Engineer for our AWS Quick RAG team, which builds the intelligent document-processing foundation behind Amazon Quick Suites search and retrieval features. Our collaborative, innovation-driven team works across AWS with applied scientists, product managers, and partner teams, using computer vision, machine learning, and technologies such as Amazon Bedrock, ECS, and DynamoDB to help enterprise customers find insights in their data. The role is based in Seattle, Washington, with a listed base salary range of $143,700–$194,400 per year. Our compensation package includes sign-on payments and restricted stock units, with final compensation based on experience, qualifications, and location. We offer benefits including medical, dental, vision, and prescription coverage; life and AD&D insurance; employee and mental health support; flexible spending accounts; adoption and surrogacy reimbursement; 401(k) matching; paid time off; and parental leave. We are an equal opportunity employer and provide workplace accommodations during the hiring process.

last updated 44 week of 2026

• 3+ years of programming experience in Python, Ruby, Go, Swift, Java, .NET, C++, or a similar object-oriented language
• Experience using CloudFormation, Chef, Puppet, Salt, or Ansible in production environments
• 3+ years of experience in cloud architecture and solution implementation
• Experience with continuous integration and continuous delivery
• Current, active U.S. Government Security Clearance of TS/SCI with Polygraph
• Experience architecting and operating Kubernetes platforms on bare metal at scale, including lifecycle management, cluster provisioning, and day-2 operations in air-gapped or high-security environments
• Strong preference for experience with SpectroCloud PaletteAI or a similar bare-metal Kubernetes lifecycle management platform
• Hands-on experience with NVIDIA AI Enterprise, Run:AI, or equivalent GPU orchestration and scheduling platforms for large-scale AI/ML workloads
• Experience integrating multiple third-party software products into a unified platform stack, including cross-vendor compatibility, version dependencies, and cohesive operational procedures across the OS and application layers
• Familiarity with high-performance networking in GPU cluster environments and network automation for multi-tenant isolation
• Experience with zero-trust network architectures and micro-segmentation approaches for securing multi-tenant AI infrastructure
• Experience developing and executing incremental deployment strategies for complex platforms, including automated provisioning, infrastructure as code, and validation testing at increasing scale

• Design, develop, and implement complex, scalable, and secure solutions tailored to customer needs
• Provide technical guidance and troubleshooting support throughout project delivery
• Integrate multiple third-party software products into a unified platform stack
• Act as a trusted advisor to customers on industry trends and emerging technologies
• Share knowledge across the organization through mentoring, training, and creating reusable artifacts
• Work closely with customers to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS
• Lead the implementation process, ensuring best practices are followed, performance is optimized, and risks are managed throughout the project lifecycle

• AI
• AWS
• Ansible
• Cloud
• Support
• Java
• Kubernetes
• Network
• Puppet
• Python
• Ruby
• Security
• Swift
• Web
• ASP.NET
• DevOps

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We are the Amazon Web Services Professional Services (ProServe) team at AWS, a global group of experts helping customers achieve their business outcomes through the AWS Cloud. In this Delivery Consultant role, you will partner closely with customer teams and the AWS Partner Network to deliver enterprise cloud computing initiatives and specialized guidance across technologies, solutions, and industries. We value diverse experience and encourage candidates from nontraditional backgrounds to apply. Our culture emphasizes curiosity, inclusion, mentorship, career growth, and work-life balance. We also offer comprehensive benefits including health insurance, 401(k) matching, paid time off, parental leave, sign-on payments, and restricted stock units. This role is based in the U.S., with listed locations in Denver, Arlington, and Herndon.

last updated 44 week of 2026

• 3+ years of professional, non-internship software development experience
• 2+ years of non-internship experience designing or architecting new and existing systems, including design patterns, reliability, and scaling
• 1+ year of experience as a software development engineer or in a related occupation
• 1+ year of experience designing and developing large-scale, multi-tiered, multithreaded, embedded, or distributed software applications, tools, systems, or services using C#, C++, Java, or Perl
• 1+ year of object-oriented design experience
• Bachelors degree or foreign equivalent in computer science, engineering, mathematics, or a related field
• Experience programming in at least one software language
• Preferred: 3+ years of full software development lifecycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations
• Preferred: Bachelors degree in computer science or equivalent

• Build and optimize container startup and runtime systems using the Linux kernel, containerd/runc, and Bottlerocket
• Design and implement solutions across the container networking and instance preparation stack
• Improve the end-to-end launch path for containerized workloads on AWS Fargate
• Contribute to a large-scale container orchestration platform and help shape the technical direction of a new team

• AWS
• C#
• Embedded
• Java
• Linux
• Perl
• Cloud
• C++
• Support

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We are Amazon Elastic Container Service (ECS), helping customers run, scale, and secure containerized applications on AWS, from early-stage workloads to deployments spanning millions of tasks worldwide. Our new Workload Optimization team is based in Seattle and aims to substantially reduce the time Fargate workloads take to become ready to run. This greenfield team offers ownership from day one, working across systems including the Linux kernel, container runtimes, operating systems, and networking alongside a small, senior group of engineers. We value first-principles thinking, comfort with ambiguity, and a direct, low-ceremony culture centered on ownership, performance, correctness, and customer impact. The listed base salary is $143,400 annually; compensation may also include sign-on payments and restricted stock units, with final compensation based on experience, qualifications, and location. We offer benefits including health coverage, 401(k) matching, paid time off, and parental leave.

last updated 44 week of 2026

• 3+ years of professional software development experience outside internships
• 2+ years of experience designing or architecting new and existing systems, including design patterns, reliability, and scaling
• 1+ years of experience designing and developing large-scale, multi-tiered, multithreaded, embedded, or distributed applications, tools, systems, or services using C#, C++, Java, or Perl
• Experience with AI-assisted or agentic coding practices
• 3+ years of experience across the full software development life cycle, including coding standards, code reviews, source control, build processes, testing, and operations
• Bachelors degree in computer science or equivalent experience
• Experience building agentic coding processes, such as Ralph loops or parallelized agentic development

• Design, build, and deploy AI-powered security products, owning their lifecycle from architecture through production for large-scale distributed systems that protect AWS customers
• Develop full-stack experiences, including front-end interfaces, back-end services, REST APIs, and middleware; deploy on AWS while supporting cloud-agnostic, multi-cloud environments
• Create agentic architectures, conversational interfaces, and automation workflows for AI-first security products
• Apply established and experimental AI tools and techniques to write, test, review, and deliver code across new and existing projects
• Plan implementations, estimate effort, and lead phased rollouts across systems and operations, taking accountability for outcomes
• Prototype, validate ideas with customers, and iterate on solutions
• Collaborate with security researchers, applied scientists, product managers, and UX designers to shape product direction and translate customer needs into technical solutions
• Participate in on-call rotations, investigate root causes, and improve system reliability, performance, and security
• Contribute to technical reviews, mentor teammates, and promote AI-first development practices while helping build the teams engineering culture

• AI
• AWS
• C#
• Cloud
• Embedded
• Java
• Perl
• REST
• Security
• UX UI Design
• Agentic AI
• Support
• RAG

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We are Amazon Enterprise Security Products, a newly launched, small team building intelligent, cloud-agnostic security tools with AI-first development practices. We combine startup-style speed with Amazon-scale reach, working closely across disciplines and giving team members meaningful ownership and influence. Our work supports Amazons commitment to customer trust and security across its products and services. We value diverse perspectives and encourage candidates with varied career paths to apply; we offer ongoing learning, training, career-development resources, flexible work arrangements, and comprehensive benefits, including health coverage, 401(k) matching, paid time off, parental leave, sign-on payments, and restricted stock units. This position is based in Austin, Texas, with a listed annual base salary range of $143,700 to $194,400; final compensation depends on experience, qualifications, and location. We are an equal opportunity employer.

last updated 44 week of 2026

• 5+ years of non-internship professional software development experience
• 5+ years of programming experience in at least one software language
• 5+ years leading the design or architecture of new and existing systems, including design patterns, reliability, and scaling
• Experience mentoring, serving as a technical lead, or leading an engineering team
• 5+ years of experience across the full software development lifecycle, including coding standards, code reviews, source control, build processes, testing, and operations
• Bachelors degree in computer science or equivalent

• Design and develop features for Quick Spaces in the Amazon Quick product, creating robust, reliable software in collaboration with scientists and engineers
• Build web and desktop experiences that let customers create, organize, share, and search their Spaces
• Provide technical leadership and contribute to the definition, development, integration, testing, documentation, and support of new AI services
• Promote software engineering best practices and strong documentation
• Ensure designs meet requirements and deliver high-quality software on tight schedules

• AI
• Support
• Web
• AWS
• Cloud
• DevOps

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We are building QuickSuite, a generative AI application, and Quick Spaces, a feature that helps teams organize, share, and search their files, documents, dashboards, and data while grounding Amazon Quicks AI chat and agents in customer content. This high-visibility, high-impact lead software development engineer role is part of the Amazon Quick organization and will lead customer-facing initiatives. Our team works across roles to build, test, and improve AI products. We welcome applicants with diverse career paths and provide an inclusive culture, employee-led affinity groups, learning opportunities, mentorship, career development resources, and support for work-life harmony. The position is based in Santa Clara, California. The base salary is $193,500 annually; compensation may also include sign-on payments and restricted stock units, with final pay based on experience, qualifications, and location. Benefits include health coverage, 401(k) matching, paid time off, and parental leave.

last updated 44 week of 2026

• At least 3 years of professional, non-internship software development experience.
• At least 2 years of non-internship experience designing or architecting new and existing systems, including design patterns, reliability, and scaling.
• At least 1 year of experience as a software development engineer or in a related occupation.
• At least 1 year of experience designing and developing large-scale, multi-tiered, multithreaded, embedded, or distributed software applications, tools, systems, or services using C#, C++, Java, or Perl.
• At least 1 year of object-oriented design experience.
• A bachelors degree or foreign equivalent in computer science, engineering, mathematics, or a related field.
• Programming experience in at least one software language.
• Preferred: At least 3 years of experience across the full software development lifecycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
• Preferred: A bachelors degree in computer science or equivalent.

• Design and build distributed services and APIs supporting contract lifecycle management and approval workflows from contract authoring through execution and operations.
• Develop and improve workflow orchestration and approval systems, including multistage routing, delegation, escalation, and business-rule enforcement.
• Build and maintain integrations with e-signature and contract lifecycle management platforms, such as DocuSign IAM/CLM, and Salesforce-based contracting systems; synchronize contract and account data and improve its quality and coverage.
• Implement LLM-powered workflows, MCPs, and automation to reduce manual work in contract drafting, review, and approval routing, and generate useful insights from contracting data.
• Review code and provide constructive feedback; support other engineers through documentation, training, and pairing.
• Investigate operational issues, identify root causes, and deliver lasting fixes.
• Collaborate with deal desk, legal, finance, AWS partner business, and solutions architecture stakeholders to ensure solutions address customer needs.

• AWS
• C#
• Embedded
• IAM
• Support
• Java
• LLM
• Marketing
• Perl
• Salesforce
• Cloud
• Backbone
• DevOps
• Flow

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We are hiring a Software Development Engineer II for AWS Field Experience (AFX), part of AWS Sales, Marketing, and Global Services. Our team builds go-to-market tools and infrastructure for the AWS sales field and customers at large scale, including the platform that moves contracts from proposal to signed execution. We work closely with deal desk, legal, finance, the AWS partner business, and solutions architecture, and are investing in LLM-based tools and large-scale data processing. The role spans focused engineering work and cross-team design and operations collaboration. We offer an inclusive workplace and comprehensive benefits, including health coverage, 401(k) matching, paid time off, parental leave, sign-on payments, and restricted stock units. The listed base salary range for Seattle, Washington is $143,400 annually; final compensation depends on factors such as experience, qualifications, and location. We are an equal opportunity employer and provide workplace accommodations during the application and hiring process.

last updated 44 week of 2026

• Bachelors degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
• At least 3 years of professional, non-internship software development experience
• At least 2 years of non-internship experience designing or architecting new and existing systems, including design patterns, reliability, and scaling
• At least 1 year designing and developing large-scale, multi-tiered, multi-threaded, embedded, or distributed software applications, tools, systems, or services using C#, C++, Java, or Perl
• At least 1 year of object-oriented design experience
• Current, active U.S. government Top Secret security clearance with SCI eligibility or higher; must maintain an active TS/SCI clearance and obtain and maintain an active TS/SCI clearance with polygraph, or an equivalent agency clearance, after starting
• Preferred: Bachelors degree in Computer Science or equivalent
• Preferred: At least 3 years of full software development lifecycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations
• Strong Linux, networking, software, and systems fundamentals, ideally in large-scale distributed environments
• Experience with deep-dive troubleshooting, technical post-mortems, systems design, operations, automation, and process improvement
• Experience or interest in coding with technologies such as Java and Python
• A collaborative, problem-solving approach and ability to lead teams through complex technical challenges

• Build, develop, deploy, and operate AWS Frontier AI services in GovCloud and isolated environments
• Create solutions for government customers, address their needs across Frontier AI services, and resolve technical issues
• Expand services across GovCloud and isolated regions while improving resiliency and customer experience
• Influence technical strategy and architectural decisions with the team and partner teams, using data to guide decisions
• Lead troubleshooting and technical post-mortems to identify root causes of complex issues
• Resolve operational challenges and automate operational tasks
• Support security campaigns, including blocked-software initiatives and host patching, as well as parity programs
• Build tools and solutions that can scale across thousands of devices, and streamline processes for large-scale work
• Collaborate across functions, align differing perspectives, and lead resolution of contentious issues

• Agentic AI
• AI
• AWS
• C#
• Cloud
• Embedded
• Support
• Java
• Linux
• Perl
• Python
• Security
• DevOps
• Machine Learning
• Web

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We are hiring a Software Development Engineer II for the Frontier ADC team, which delivers AWS generative AI and agentic AI services—including Amazon Bedrock, Amazon Quick, Amazon Bedrock AgentCore, and Kiro—to customers in GovCloud and isolated environments. Our work supports modernization and the next generation of cloud computing. AWS Infrastructure Services designs, plans, delivers, and operates the global infrastructure that keeps AWS running. We foster an inclusive culture through employee-led affinity groups, learning opportunities, mentorship, and career development, and we value work-life harmony and flexibility. Amazon offers sign-on payments, restricted stock units, health and other insurance, 401(k) matching, paid time off, and parental leave. The role is based in Denver, Colorado, with a listed annual base salary range of $143,700 to $194,400. Applications are due November 1, 2026.

last updated 44 week of 2026

• At least 3 years of professional software development experience outside internships
• At least 2 years of experience designing or architecting new and existing systems, including design patterns, reliability, and scaling
• Programming experience in at least one software language
• Preferred: At least 3 years of experience across the full software development life cycle, including coding standards, code reviews, source control, build processes, testing, and operations
• Preferred: Bachelors degree in computer science or equivalent

• Collaborate with cross-functional colleagues to conceive, design, and launch products and services
• Design and build technologies for large-scale distributed computing environments, contributing to industry-changing advances
• Develop solutions for running predictions on distributed systems at high scale and speed
• Build scalable, fault-tolerant, cost-effective distributed storage, indexing, and query systems that are easy to manage and use
• Design and code solutions to broadly defined problems
• Work in an agile environment to deliver high-quality software
• Create new products, features, and services from the ground up while managing ambiguity and fast development cycles

• Support
• DevOps

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We are Amazon, where our software development engineers use advanced technology to address complex problems and make an impact for customers, sellers, and products around the world. We foster an inclusive culture and are an equal opportunity employer; workplace accommodations are available during the application and hiring process. The role is based in Seattle, Washington. The listed annual base salary is $143,400, with sign-on payments and restricted stock units; final compensation depends on experience, qualifications, and location. Our benefits include health insurance, life and AD&D coverage, employee assistance and mental health support, flexible spending accounts, adoption and surrogacy reimbursement, 401(k) matching, paid time off, and parental leave.

last updated 44 week of 2026

• We require a bachelors degree in computer science, electrical engineering, automation engineering, or a closely related field, or at least 2 years of PLC programming or automation engineering experience.
• We require the ability to work a flexible schedule, including shifts, weekends, nights, and holidays.
• We require a bachelors degree in computer science, electrical engineering, automation engineering, or a closely related field, or at least 2 years of PLC-controlled automation and issue diagnosis experience in a process or production environment.
• We require a bachelors degree in computer science, electrical engineering, automation engineering, or a closely related field, or at least 2 years of experience with robotics work cells and control systems.
• We require a bachelors degree in computer science, electrical engineering, automation engineering, or a closely related field, or at least 2 years of experience with electrical theory, robotics, control components, and automated equipment.
• We require a bachelors degree in computer science, electrical engineering, automation engineering, or a closely related field, or at least 2 years of experience with Ladder Logic and structured programming in Siemens, Allen-Bradley, or Codesys PLCs.
• We value experience with HMI and control network components, including maintenance, troubleshooting, programming, and design.
• We value experience identifying, maintaining, troubleshooting, and modifying motor controls such as starters, variable frequency drives, DC drives, and standard electrical components.
• We value experience with preventive maintenance procedures, industrial electrical systems, industrial controls, and industrial electronics and robotics.
• We value experience interpreting and modifying mechanical and electrical drawings.
• We value experience programming with RSLogix5000, Studio 5000, FT View, and other controls software platforms.

• We serve as the site expert for maintaining the automation systems that are critical to operations.
• We understand, maintain, and troubleshoot material handling control systems, including PLC/PC controllers and industrial networks such as Ethernet, ControlNet, DeviceNet, and Profibus, as well as motor control systems, servo drives, frequency drives, and electrical distribution systems.
• We monitor material handling equipment metrics and partner with maintenance and operations teams to resolve system performance issues and analyze results across the site.
• We provide first-level escalation support for site technicians, both on site and remotely.
• We perform and evaluate building system assessments to improve material handling system performance.
• We collaborate with cross-functional teams to optimize material handling equipment systems and deliver innovative projects.
• We troubleshoot complex control systems, analyze performance data, and drive continuous improvement initiatives.

• CODESYS
• Ethernet
• Support
• Network
• PLC
• Profibus
• Robotics
• C++

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We are Amazons Operations and Reliability & Maintenance Engineering team, supporting the speed, accuracy, and service that power our fulfillment centers worldwide. In this Automation Engineer role, you will work with advanced technology including conveyors, sortation systems, scanners, cameras, print-and-apply systems, and SCADA devices to improve equipment reliability and operational performance. We offer competitive compensation, comprehensive healthcare benefits starting on Day 1, a 401(k) matching program, up to 20 weeks of paid parental leave, and provided safety gear including lightweight fire-resistant daily wear and composite toe safety shoes. The role is based in Aurora, Colorado, with a listed base salary of 90,500 USD annually, plus sign-on payments and restricted stock units, and the final package depends on experience, qualifications, and location. We are an equal opportunity employer and value an inclusive culture that supports our people and our customers.

last updated 44 week of 2026

• We require a bachelors degree in computer science, electrical engineering, automation engineering, or a related field, or equivalent experience with 4+ years in PLC programming or automation engineering.
• We need 4+ years of experience in PLC-controlled automation and issue diagnosis within a process or production environment.
• We need 4+ years of experience with robotics work cells and control systems.
• We need 4+ years of hands-on experience with Siemens, Allen-Bradley, or Codesys ladder logic and structured programming.
• We need 4+ years of experience in electrical theory, robotics, control components, and automated equipment.
• We require the ability to work a flexible schedule, including weekends, nights, and/or holidays.
• We need candidates who can physically perform the role, including lifting up to 49 lbs, standing and walking for long shifts, climbing ladders and gangways safely, and bending, lifting, stretching, and reaching as needed.
• Preferred qualifications include a masters degree in computer science, electrical engineering, automation engineering, or a related discipline.
• Preferred qualifications also include a masters degree or Six Sigma Black Belt certification.
• We prefer experience leading controls in manufacturing or other complex industrial environments.
• We prefer experience identifying, maintaining, troubleshooting, and modifying motor controls such as motor starters, variable frequency drives, DC drives, and standard electrical components.
• We prefer experience interpreting and updating mechanical and electrical drawings.

• We apply subject matter expertise to troubleshoot engineering issues and conduct deep dives to identify root causes and reduce downtime for critical assets.
• We collaborate with Operations, Operations Engineering, FC Start-up, AFT Software, ACES, and Safety teams to support MHE optimization and project delivery.
• We maintain, troubleshoot, and improve material handling control systems, including PLC and PC controllers, industrial networks, motor control systems, servo drives, frequency drives, and electrical distribution systems.
• We monitor MHE performance metrics and work with maintenance and operations teams to resolve system issues across the site.
• We provide escalation support to automation engineers during and after business hours, both on-site and remotely, to ensure timely repair of hardware and controls software.
• We mentor junior engineers, lead cross-functional efforts, and help build team capability through technical leadership.
• We drive continuous improvement initiatives, implement innovative projects, and develop system design enhancements to improve site throughput and operational performance.

• CODESYS
• Hardware
• Support
• PLC
• Robotics
• C++
• Ethernet
• Profibus

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We are Amazon Operations, where speed, accuracy, and exceptional service are at the center of what we do. Our Reliability & Maintenance Engineering team works behind the scenes to keep our robotics and material handling equipment running smoothly so we can deliver products to customers around the world. In this Senior Automation Engineer role, you will help maximize equipment reliability and operational performance in our fulfillment centers, working with advanced technologies such as conveyors, sortation systems, scanners, cameras, print-and-apply systems, and SCADA devices. We offer competitive compensation, sign-on payments, RSUs, comprehensive benefits including medical, dental, vision, prescription coverage, life insurance, EAP, mental health support, FSA, adoption and surrogacy reimbursement, 401(k) matching, paid time off, and parental leave. We also provide day-one healthcare benefits, matching 401(k), up to 20 weeks of paid parental leave, and safety gear such as fire-resistant daily wear and composite toe safety shoes. The base salary range for this position in San Diego, California is 114,200 USD annually.

last updated 44 week of 2026

• We require U.S. citizenship and a bachelors degree in a related field.
• We require at least five years of experience performing similar business analysis work.
• We require expert-level Microsoft Excel skills, including advanced data analysis, automation, and visualization, along with proficiency in Microsoft Teams, Word, Outlook, Access, and working with multiple monitors.
• We seek experience with budget execution, financial analysis, transaction processing, Interagency Agreements, obligations and de-obligations, commitments, expenditures, and unliquidated obligation close-outs.
• We seek experience developing and maintaining financial reports and data summaries.
• We require strong analytical, problem-solving, communication, interpersonal, and written and verbal communication skills, particularly in financial contexts.
• We require the ability to develop, update, and monitor budget execution spend plans, unfunded requirements, commitment reports, expenditure data, and financial tracking tools.
• We require attention to detail, accuracy in financial reporting, and the ability to manage multiple tasks and prioritize effectively.
• We require proficiency with computers, established databases, and Microsoft Office products; English-language knowledge; effective audience-appropriate communication; and the ability to address customer inquiries patiently and pleasantly.
• We require the ability to perform basic arithmetic, calculate rates, ratios, and percentages, interpret information, select appropriate mathematical methods, analyze data, define problems, establish facts, draw conclusions, and interpret varied instructions.
• Prior experience with SAP, ServiceNow, and Concur is desired but not required.
• We require successful completion of the U.S. Government background investigation and security clearance process, and the ability to obtain and maintain the required clearance as a condition of employment and continued employment.
• We require compliance with CBP security, training, and onboarding requirements, as well as adherence to CBP standards of conduct.
• We require employees to reside within 50 miles of the designated CBP office and be able to report onsite when needed.
• We may require overtime during peak periods and performance of mission-essential functions during government furloughs or shutdowns.

• We provide flexible budget and financial management support to the Budget IAA Team and Budget Execution Team, shifting assignments as workload, priorities, backlogs, deadlines, and emerging requirements change.
• We support activities involving Interagency Agreements, obligations and de-obligations, spend plan development, budget execution monitoring, unfunded requirements, commitments, expenditures, and unliquidated obligations.
• We review IAA forms and documentation for clarity, completeness, and accuracy, and draft, prepare, and review 7600A and 7600B forms.
• We process Interagency Agreements, help resolve approval, obligation, and de-obligation delays, and officially obligate or de-obligate IAAs when authorized.
• We monitor obligations to ensure funds are obligated promptly and track de-obligation requests through completion.
• We coordinate with internal offices and external partners to resolve IAA documentation, funding, and processing issues.
• We help offices develop and update budget execution spend plans, identify and track unfunded requirements, and monitor execution against plans to identify potential funding surpluses.
• We support realignment of available funds to address approved unfunded requirements.
• We analyze monthly budget expenditures to prepare, compile, and revise budget execution plans.
• We review commitment reports to confirm commitments are properly obligated, verify expenditure postings, and identify discrepancies for resolution.
• We review unliquidated obligation reports to identify close-out items and work with program offices to complete the UDO close-out process.
• We perform other duties as assigned in support of budget and financial management operations.

• Excel
• IaaS
• Support
• SAP
• Security
• ServiceNow

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We are recruiting a Senior Program Analyst to support MSDs budget and financial management operations. The position is primarily remote, but may require reporting to the designated CBP office for contract needs, meetings, training, audits, or other business purposes; employees must live within 50 miles of that office. When onsite, work takes place in a low-noise office cubicle environment and involves consistent, direct visual contact with multiple computer monitors.

last updated 44 week of 2026

• Bachelors degree in mathematics, computer science, statistics, or a related quantitative discipline and at least 5 years of relevant industry experience; alternatively, a masters degree or Ph.D. with at least 3 years of experience. Equivalent experience may be considered.
• A statistical or quantitative background is preferred.
• Advanced proficiency in Python, R, SAS, or SQL for data manipulation, algorithmic modeling, machine learning, and pipeline development.
• Demonstrated experience building, testing, and deploying machine-learning models; performing hypothesis tests; automating data cleansing and integration; and partnering with IT to put analytical solutions into production.
• Experience designing complex A/B tests, power calculations, and geo-lift or incrementality studies to measure marketing impact.
• Practical experience developing predictive customer models, such as lifetime value, churn, and segmentation models, and marketing measurement frameworks such as attribution or marketing mix modeling using advanced SQL and Python.
• Technical leadership skills, knowledge of data architecture and governance, and the ability to independently address complex business problems with minimal direction.
• Preferred: familiarity with Google Analytics 4, Google Cloud Platform, Tableau or Power BI, basic HTML, CSS, or JavaScript, and Adobe platforms such as AEM, Adobe Target, or Magento.
• Ability to mentor, train, and instruct up to two less experienced staff members.
• Must be authorized to work in the United States, reside in the United States at the time of hire, and be able to follow our hybrid work schedule. We do not offer visa sponsorship.

• Design, train, and deploy statistical and machine-learning models—including propensity, next-best-action, customer lifetime value, and churn models—to support personalized marketing and customer experiences.
• Develop forecasts and algorithms using sales, customer, channel, and product data to improve campaign performance and customer engagement.
• Design and assess A/B and multivariate tests to optimize marketing across digital channels and product ecosystems.
• Build, automate, and maintain scalable pipelines that cleanse, integrate, and evaluate large structured and unstructured datasets from varied internal and external sources.
• Acquire and integrate data sources when standard feeds are unavailable, and maintain reliable data for reporting, dashboards, and executive decision-making.
• Apply advanced mathematical, statistical, and scientific methods to complex business questions, providing strategic and tactical recommendations to decision-makers.
• Identify and interpret customer and market trends, generate business ideas, and contribute to product-positioning initiatives.
• Translate technical analysis into clear, actionable insights for non-technical partners, exercising sound judgment and autonomy under general leadership guidance.
• Develop and code software, algorithms, and automated processes for working with large, disparate datasets.
• Mentor or supervise up to two less experienced professional staff members as needed.

• AEM
• Cloud
• CSS
• Support
• JavaScript
• LESS
• Machine Learning
• Magento
• Marketing
• Power BI
• Python
• SAS
• SQL
• Tableau
• Business Intelligence
• GCP

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We are hiring a full-time Senior Data Scientist for our Marketing team at Canon U.S.A.s Melville, New York headquarters (Job ID 34882). The role connects marketing technology with enterprise analytics, turning complex data into predictive insights and business recommendations. We offer a hybrid schedule with in-office work Monday through Wednesday and the option to work remotely for the remainder of the week, subject to changing business needs. The anticipated annual salary range is $92,210–$138,080. Canon U.S.A. provides consumer, business-to-business, and industrial digital imaging solutions and is guided by a philosophy of social and environmental responsibility. We offer competitive compensation and benefits, including medical, dental, vision, a 401(k) savings plan, discretionary profit and success sharing, educational assistance, recognition programs, and vacation, along with employee referral bonuses, discounts, volunteer opportunities, and other perks. We value collaboration, integrity, respect, empowerment, and community impact.

last updated 44 week of 2026

• Bachelors degree and at least 2 years of relevant experience
• At least 1 year of experience developing Rust software for production systems
• At least 1 year of experience designing and developing software with C/C++ and object-oriented design
• Ability to obtain and maintain a U.S. Government Secret security clearance
• Ability to travel approximately 10%
• Preferred: Masters degree and an active security clearance
• Preferred: Object-oriented design and implementation experience, with exposure to software modeling and UML tools such as IBM Rhapsody or MagicDraw/Cameo
• Preferred: Familiarity with scripting languages such as Python and with the Rust programming language
• Preferred: Experience developing embedded software systems
• Preferred: Experience with information assurance and/or cryptography
• Preferred: Experience with NSA Type 1 certification or another software certification, such as DO-178

• Translate requirements into working, maintainable solutions for our encryption business
• Apply technical expertise throughout the software development life cycle, gather requirements, and collaborate with stakeholders to prioritize and scope work
• Contribute as a key member of a Scrum team and help shape product and infrastructure development direction and strategy
• Diagnose complex software issues and implement fixes independently or with multidisciplinary teams
• Apply computer science, engineering, and mathematical principles to develop software for target hardware
• Collaborate across engineering functions to develop and assess hardware-software interfaces, operational performance requirements, and overall system design
• Support all software development life-cycle phases, including requirements analysis, design, implementation, hardware-software integration, and formal testing
• Create software test plans, procedures, and other technical documentation
• Use modeling tools and equipment to establish operating data, run experiments, build prototypes, and evaluate results
• Participate in peer reviews and identify, track, and resolve defects
• Develop embedded software for real-time operating systems using languages primarily including Rust, C/C++, and Python

• Cryptography
• Embedded
• Hardware
• IBM
• Support
• Python
• Rust
• Security
• UML

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At L3Harris, we use agile technology to address complex challenges and help create a safer, more secure future. Our Integrated Systems & Encryption division is seeking a Software Engineer to work on high-assurance encryption products as part of a Scrum team. The salary range is $118,306–$224,575; final compensation may vary based on experience, location, and other factors. We offer benefits that include health and disability insurance, a 401(k) match, flexible spending accounts, employee assistance, education assistance, parental leave, paid time off, and company holidays; offerings may vary by hire date, schedule, and applicable collective bargaining agreements. We are an Equal Opportunity Employer and maintain a drug-free workplace; pre-employment testing and background checks may apply where permitted by law. Many positions require security clearance, which may be granted only to U.S. citizens. Conditional offers may be subject to government security investigations and classified-access eligibility requirements.

last updated 44 week of 2026

• Bachelors degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field and at least 4 years of experience developing AI/ML algorithms or technologies; alternatively, a relevant masters degree and at least 2 years of that experience
• At least 4 years of programming experience with Python, Go, Scala, CUDA, or Java
• Preferred: Experience leading AI system development and making trade-offs among cost, latency, throughput, and accuracy
• Preferred: 6 or more years deploying scalable, responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or an equivalent private cloud
• Preferred: Experience designing, building, delivering, and supporting AI services
• Preferred: Experience developing AI/ML algorithms or technologies, such as LLM inference, similarity search, vector databases, guardrails, or memory, using Python, C++, C#, Java, CUDA, or Go
• Preferred: Experience optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
• Preferred: Experience building agentic AI systems and workflows
• Preferred: Ability to follow current AI research and apply relevant techniques in production
• Preferred: Proficiency designing distributed systems for model training, evaluation, and online inference at petabyte scale
• Preferred: Experience defining AI model governance processes, including producibility, lineage tracking, and automated retraining schedules
• Preferred: Ability to influence architectural decisions across multiple AI products or platforms
• Ideal candidates take pride in high-quality engineering, value responsible practices, follow AI research, and can apply new techniques thoughtfully
• Ideal candidates bring strong engineering, mathematics, hardware, software, and AI knowledge; adapt to ambiguous challenges; communicate findings clearly; and show resilience and initiative

• Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products for our associates and customers
• Design, build, test, deploy, and support AI components, including foundation model training, LLM inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability
• Use open-source and SaaS AI technologies, including AWS Ultraclusters, Hugging Face, vector databases, and PyTorch
• Develop advanced foundation-model optimization techniques to improve the scalability, cost, latency, and throughput of production AI systems
• Help shape our technical vision and long-term roadmap for foundational AI systems
• Own end-to-end architecture for complex AI systems, with attention to maintainability, observability, and ethical alignment
• Define and maintain AI reliability service-level objectives, including latency, uptime, and model-performance drift
• Work with infrastructure engineering to improve GPU/TPU utilization and accelerate model inference pipelines
• Lead cross-functional technical reviews of AI system deployments and ensure security, data governance, and compliance standards are met
• Mentor Principal and Senior Associates in scalable design, performance tuning, and translating research into production

• Agentic AI
• AI
• AWS
• Azure
• C#
• Cloud
• CUDA
• Hardware
• Support
• Java
• LLM
• Model Training
• PyTorch
• Python
• Scala
• Security
• Golang
• Machine Learning

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At Capital One, we build responsible, reliable AI systems to improve banking and create personalized customer experiences. Our Intelligent Foundations and Experiences team works across the company to advance AI science and engineering and deliver proprietary, scalable solutions used by teams and millions of customers. This AI Engineer 4 role is available in Cambridge, Massachusetts; McLean, Virginia; New York, New York; San Francisco, California; and San Jose, California. The listed annual salary ranges are $197,300–$225,100 in Cambridge and McLean, and $215,200–$245,600 in New York, San Francisco, and San Jose; compensation for other locations varies. The role may also include performance-based incentives. We offer health, financial, and other benefits, with eligibility varying by employment status and level. Capital One states that it will consider sponsoring qualified applicants for employment authorization and is an equal opportunity employer.

last updated 44 week of 2026

• Bachelors degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field, plus at least 8 years of experience developing AI/ML algorithms or technologies; or a relevant masters degree plus at least 6 years of that experience
• At least 3 years of people leadership experience
• Preferred: 5+ years managing and leading an engineering team
• Preferred: 7+ years deploying scalable, responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or equivalent private cloud
• Preferred: Experience developing AI/ML technologies using Python, C++, C#, Java, CUDA, or Golang, including LLM inference, similarity search, vector databases, guardrails, or memory
• Preferred: Experience building agentic AI systems and workflows
• Preferred: Familiarity with current AI research and applying new techniques in production
• Preferred: Strong communication and presentation skills, including explaining complex AI concepts
• Preferred: Experience leading multi-team AI organizations delivering multiple enterprise products or capabilities
• Preferred: Ability to develop and execute long-term AI platform strategies aligned with enterprise priorities and regulatory frameworks
• Preferred: Experience establishing cross-functional operating rhythms and review cadences, such as OKRs, AI governance councils, or quarterly reviews
• Preferred: Experience selecting model sizes, instance counts, and hardware types based on requirements such as context length and token volumes
• Strong engineering and mathematical foundations, technical depth across hardware, software, and AI, and sound judgment in applying research
• Ability to navigate ambiguous challenges, investigate root causes, communicate findings clearly, adapt to change, and pursue new approaches
• Interest in mentoring and coaching others, leading by example, and fostering continued learning

• Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products for associates and customers
• Lead the design, development, testing, deployment, and support of AI software components, including foundation model training, LLM inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability
• Make build-versus-buy decisions across open-source and SaaS AI technologies
• Develop and introduce foundation-model optimization techniques to improve production system scalability, cost, latency, and throughput
• Shape the technical vision and long-term roadmap for foundational AI systems
• Attract and retain AI talent, support team members development, and foster a learning culture
• Translate enterprise AI strategy into portfolio-level execution plans across product areas, balancing innovation with delivery
• Expand AI engineering practices across teams through shared infrastructure, reusable components, and consistent observability and governance frameworks
• Establish enterprise standards for Responsible AI, including fairness metrics, model evaluation protocols, documentation, and audit readiness
• Work with research, compliance, and enterprise risk teams to help ensure deployed systems meet evolving ethical and regulatory standards

• Agentic AI
• AI
• AWS
• Azure
• C#
• Cloud
• CUDA
• Golang
• Hardware
• Support
• Java
• LLM
• Machine Learning
• Model Training
• Python
• PyTorch

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We are building responsible, reliable AI systems to improve banking, drawing on our machine learning experience, technology infrastructure, and applied science and engineering teams. Our Intelligent Foundations and Experiences team partners across Capital One to advance AI science and engineering, build proprietary solutions, and deliver scalable AI capabilities to millions of customers. This Director AI Engineer role supports that work across our products and platforms. We will consider sponsoring a qualified new applicant for employment authorization. The posted annual salary ranges are $269,100–$307,200 in Cambridge, MA and McLean, VA, and $293,600–$335,100 in New York, NY, San Francisco, CA, and San Jose, CA; pay for other locations varies. The role may also include performance-based bonuses and/or long-term incentives. We offer health, financial, and other benefits, with eligibility based on role and employment status.

last updated 44 week of 2026

• We require a bachelors degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field, plus at least 10 years of experience developing AI and ML algorithms or technologies; alternatively, a masters degree in one of these fields plus at least 8 years of relevant experience.
• We require at least 10 years of programming experience with Python, Go, Scala, CUDA, or Java.
• Preferred experience includes architecting AI platforms with tradeoffs across cost, latency, throughput, and accuracy.
• Preferred experience includes 9 years of deploying scalable and responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or equivalent private cloud environments.
• Preferred experience includes architecting, designing, developing, integrating, delivering, and supporting complex AI systems.
• Preferred experience includes leading and mentoring multiple engineering teams and influencing cross-functional stakeholders up to the SVP level.
• Preferred experience includes developing AI and ML technologies such as LLM inference, similarity search and vector databases, guardrails, and memory using Python, C++, C#, Java, CUDA, or Golang.
• Preferred experience includes applying state-of-the-art techniques to optimize training and inference software for better hardware utilization, latency, throughput, and cost.
• Preferred experience includes building agentic AI systems and agentic workflows.
• Preferred qualifications include staying current with the latest AI research and systems and applying new techniques thoughtfully in production.
• Preferred qualifications include strong communication and presentation skills with the ability to explain complex AI concepts clearly to peers.
• Preferred qualifications include recognition as an industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership.
• Preferred qualifications include experience designing long-term AI infrastructure strategies that balance cost, scale, ethics, and regulatory compliance.
• Preferred qualifications include driving company-wide adoption of AI safety, alignment, and governance standards in collaboration with policy, risk, and legal teams.
• Preferred qualifications include helping shape R&D investment strategy by identifying breakthrough AI capabilities with meaningful business impact.
• Preferred qualifications include experience right-sizing models, instance counts, and hardware types based on requirements such as context length and token inputs/outputs.

• We partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that improve how our associates work and how our customers interact with us.
• We design, develop, test, deploy, and support AI software components, including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
• We leverage Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and similar tools.
• We invent and apply foundation model optimization techniques to improve the scalability, cost, latency, and throughput of large-scale production AI systems.
• We contribute to the technical vision and long-term roadmap for foundational AI systems at Capital One.
• We define and guide the technical AI architecture vision, bringing applied research advances into production systems with reliability and scale.
• We lead the creation of AI performance, safety, and transparency standards that shape model development and deployment across the company.
• We drive multi-year platform initiatives that unify data, compute, and model lifecycle management within a cohesive enterprise AI architecture.
• We mentor senior technical leaders across research, data, and engineering disciplines to help develop the next generation of AI leadership at Capital One.

• Agentic AI
• AI
• AWS
• Azure
• C#
• Cloud
• CUDA
• Golang
• Hardware
• Support
• Java
• LLM
• Machine Learning
• Model Training
• PyTorch
• Python
• Scala

More:

We are Capital One, building responsible and reliable AI systems to reimagine banking and deliver more human, simple customer experiences. Our Intelligent Foundations and Experiences (IFX) team sits at the center of this effort, partnering across the company to advance AI science and engineering and to build proprietary solutions that serve millions of customers. We offer a remote-eligible opportunity, and we are open to hiring a remote employee for this role. This position is eligible for performance-based incentive compensation and a comprehensive, competitive, and inclusive benefits package supporting overall well-being. Salary ranges vary by location, and we consider qualified applicants for employment authorization sponsorship for this role.

last updated 44 week of 2026

• Bachelors degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Masters degree plus at least 6 years of experience developing AI and ML algorithms or technologies
• At least 8 years of programming experience with Python, Go, Scala, or Java
• Experience deploying scalable and responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or equivalent private cloud
• Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems
• Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level
• Experience developing AI and ML technologies such as LLM inference, similarity search, VectorDBs, guardrails, or memory using Python, C++, C#, Java, or Golang
• A Masters degree in Computer Science, Computer Engineering, or a related technical field
• Experience applying advanced techniques to optimize training and inference software for better hardware utilization, latency, throughput, and cost
• Strong interest in current AI research and systems, with the ability to apply new techniques thoughtfully in production
• Excellent communication and presentation skills, with the ability to explain complex AI concepts to peers

• Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that improve how our associates work and how our customers interact with Capital One
• Design, build, test, deploy, and support AI software components, including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability
• Use a broad range of open source and SaaS AI technologies, including AWS Ultraclusters, Hugging Face, VectorDBs, Nemo Guardrails, PyTorch, and related tools
• Develop and introduce advanced LLM optimization methods to improve scalability, cost, latency, and throughput in large-scale production AI systems
• Help shape the technical direction and long-term roadmap for foundational AI systems at Capital One

• AI
• AWS
• Azure
• C#
• Cloud
• Golang
• Hardware
• Support
• Java
• LLM
• Model Training
• PyTorch
• Python
• Scala
• Machine Learning

More:

We are building responsible and reliable AI systems to change banking for good. Our Intelligent Foundations and Experiences (IFX) team is at the center of bringing that vision to life, working closely with partners across the company to advance science and AI engineering and to build proprietary solutions that serve millions of customers. We offer a remote-eligible opportunity, with the option to hire a remote employee for this role. This position includes eligibility for performance-based incentive compensation and a comprehensive, competitive, and inclusive benefits package that supports overall well-being. Salary ranges vary by location, and applications are accepted for a minimum of 5 business days.

last updated 44 week of 2026

• Bachelors degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field and at least 10 years of experience developing AI or ML algorithms or technologies; or a relevant masters degree and at least 8 years of such experience.
• At least 10 years of programming experience with Python, Go, Scala, CUDA, or Java.
• Experience architecting AI platforms and balancing cost, latency, throughput, and accuracy.
• At least 9 years of experience deploying scalable, responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or equivalent private cloud environments.
• Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems.
• Ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders, including senior executives.
• Experience developing AI and ML technologies such as LLM inference, similarity search, vector databases, guardrails, or memory systems using Python, C++, C#, Java, CUDA, or Golang.
• Experience optimizing AI training and inference software to improve hardware utilization, latency, throughput, and cost.
• Experience building agentic AI systems and workflows.
• Strong communication and presentation skills, including the ability to explain complex AI concepts to peers.
• Experience or recognition in applied AI or machine learning infrastructure, demonstrated through patents, publications, or open-source leadership.
• Experience shaping long-term AI infrastructure strategies that balance cost, scale, ethics, and regulatory compliance.
• Experience advancing AI safety, alignment, and governance standards in collaboration with policy, risk, and legal teams.
• Ability to guide R&D investment strategy by identifying AI capabilities with significant business potential.
• Experience selecting appropriate model sizes, instance counts, and hardware based on requirements such as context length and token volumes.
• Passion for keeping current with AI research and applying suitable new techniques in production.

• Collaborate with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products for our associates and customers.
• Design, develop, test, deploy, and support AI components, including foundation model training, LLM inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
• Use open-source and SaaS AI technologies, including AWS Ultraclusters, Hugging Face, vector databases, and PyTorch.
• Develop advanced foundation-model optimization techniques to improve the scalability, cost, latency, and throughput of large-scale production AI systems.
• Help define our technical vision and long-term roadmap for foundational AI systems.
• Guide AI architecture, bringing applied research advances into reliable, scalable production environments.
• Establish company-wide standards for AI performance, safety, and transparency across model development and deployment.
• Lead multi-year platform initiatives that bring data, compute, and model lifecycle management together in a cohesive enterprise AI architecture.
• Mentor senior technical leaders across research, data, and engineering and help develop future AI leaders.

• Agentic AI
• AI
• AWS
• Azure
• C#
• Cloud
• CUDA
• Golang
• Hardware
• Support
• Java
• LLM
• Machine Learning
• Model Training
• PyTorch
• Python
• Scala

More:

We are Capital One, where we build responsible, reliable AI to improve banking. Our history in machine learning, technology infrastructure, and applied science supports personalized customer experiences and scalable AI capabilities. The Intelligent Foundations and Experiences (IFX) team partners across our company to advance AI research and engineering and develop proprietary models and platforms that help teams deliver value to millions of customers. This is a senior staff AI engineering role, and we are open to remote employees. The role offers location-based annual salary ranges of $286,200–$392,000, depending on work location, and may include performance-based cash bonuses or long-term incentives. We also offer health, financial, and other benefits, with eligibility based on employment status and level. We are an equal opportunity employer and provide reasonable accommodations for applicants who need them.

last updated 44 week of 2026

• We require a bachelors degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field, plus at least 6 years of experience developing AI and ML algorithms or technologies; or a masters degree in one of these fields plus at least 4 years of relevant AI and ML experience.
• We require at least 1 year of people leadership experience.
• We prefer 3 years of experience managing and leading an engineering team.
• We prefer 6 years of experience deploying scalable and responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or equivalent private cloud.
• We prefer experience developing AI and ML technologies such as LLM inference, similarity search and VectorDBs, guardrails, or memory using Python, C++, C#, Java, CUDA, or Golang.
• We prefer experience building agentic AI systems and agentic workflows.
• We prefer a strong interest in current AI research and the ability to apply new methods thoughtfully in production.
• We prefer excellent communication and presentation skills, with the ability to explain complex AI concepts clearly.
• We prefer experience leading technical strategy for a multidisciplinary AI team, balancing research exploration with production delivery.
• We prefer familiarity with MLOps and AI observability, including evaluation pipelines, drift monitoring, and model or version governance.
• We prefer a track record of mentoring engineers and scientists to turn prototypes into production systems and meet production SLOs.
• We prefer experience sizing models, instance counts, and hardware types based on requirements such as context length, token inputs, and token outputs.

• We partner with cross-functional engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that improve how our associates work and how our customers interact with Capital One.
• We oversee the design, development, testing, deployment, and support of AI software components, including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
• We make high-judgment build-versus-buy decisions across a broad set of open-source and SaaS AI technologies, including AWS Ultraclusters, Hugging Face, VectorDBs, and PyTorch.
• We invent and introduce state-of-the-art foundation model optimization techniques to improve scalability, cost, latency, and throughput in large-scale production AI systems.
• We contribute to the technical vision and long-term roadmap for foundational AI systems at Capital One.
• We attract and retain top AI talent while supporting team members personal and professional growth through a culture of learning and staying current with the state of the art.
• We translate enterprise AI goals into actionable team roadmaps with measurable outcomes and regular updates.
• We operationalize Responsible AI by establishing review gates, documentation and evaluation requirements, and rollout or rollback standards for all production AI systems.
• We build strong collaboration points with Research, Data, and Platform teams to accelerate the model lifecycle.

• Agentic AI
• AI
• AWS
• Azure
• C#
• Cloud
• CUDA
• Golang
• Hardware
• Support
• Java
• LLM
• MLOps
• Model Training
• PyTorch
• Python
• Machine Learning

More:

At Capital One, we are building responsible and reliable AI systems to help change banking for good. Our Intelligent Foundations and Experiences team sits at the center of that vision, working closely with partners across the company to advance AI science and engineering, build proprietary solutions, and deliver value to millions of customers. We offer a comprehensive, competitive, and inclusive benefits package that supports overall well-being, along with performance-based incentive compensation that may include cash bonuses and long-term incentives. This role includes salary ranges that vary by location, with positions available in Cambridge, McLean, New York, San Francisco, and San Jose. We may also consider sponsorship for a new qualified applicant for employment authorization for this position.

last updated 44 week of 2026

• Bachelors degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related discipline plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Masters degree in one of those fields plus at least 4 years of relevant experience
• At least 6 years of programming experience with Python, Go, Scala, CUDA, or Java
• Experience leading the development of AI systems with trade-offs across cost, latency, throughput, and accuracy
• 7 years of experience deploying scalable and responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or equivalent private cloud environments
• Experience designing, building, delivering, and supporting complex AI systems
• Experience developing AI and ML technologies such as LLM inference, similarity search, VectorDBs, guardrails, and memory using Python, C++, C#, Java, CUDA, or Golang
• Experience applying state-of-the-art optimization techniques for training and inference software to improve hardware utilization, latency, throughput, and cost
• Experience building agentic AI systems and agentic workflows
• Strong interest in current AI research and the ability to apply novel techniques judiciously in production
• Excellent communication and presentation skills with the ability to explain complex AI concepts to peers
• Experience architecting and integrating heterogeneous AI systems, including rule-based, retrieval-augmented, and generative components, into unified production pipelines
• Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes
• Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression
• Experience right-sizing models, instance counts, and hardware types based on requirements such as context length, token inputs, and token outputs

• Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that improve how our associates work and how our customers interact with us
• Design, develop, test, deploy, and support AI software components, including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability
• Use a broad stack of open-source and SaaS AI technologies such as AWS Ultraclusters, Hugging Face, VectorDBs, and PyTorch
• Develop and introduce advanced foundation model optimization methods to improve the scalability, cost, latency, and throughput of large-scale production AI systems
• Help shape the technical vision and long-term roadmap for foundational AI systems
• Design, implement, and optimize multi-model orchestration pipelines that combine LLMs, vector search, and domain-specific models into unified systems
• Lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency
• Lead team design councils or design review boards to maintain technical consistency and alignment with AI engineering standards
• Mentor Principal- and Manager-level AI engineers and promote cross-domain learning to strengthen technical maturity across the organization

• Agentic AI
• AI
• AWS
• Azure
• C#
• Cloud
• CUDA
• Golang
• Hardware
• Support
• Java
• LLM
• Model Training
• PyTorch
• Python
• Scala
• Machine Learning

More:

At Capital One, we are building responsible and reliable AI systems to help change banking for good. Our Intelligent Foundations and Experiences (IFX) team sits at the center of our AI vision, working closely with partners across the company to advance AI science and engineering and deliver proprietary solutions that create value for millions of customers. We build scalable, high-performance AI platforms and support a broad range of applied AI capabilities across the business. This is a full-time AI Engineer 5 role with location-based salary ranges listed for Cambridge, McLean, New York, San Francisco, and San Jose, plus eligibility for performance-based incentive compensation and a comprehensive benefits package that supports overall well-being. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

last updated 44 week of 2026

• Bachelors degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related discipline, plus at least 4 years of experience building AI and ML algorithms or technologies; or a Masters degree in one of these fields plus at least 2 years of relevant experience
• At least 4 years of programming experience with Python, Go, Scala, CUDA, or Java
• Experience leading the development of AI systems with trade-offs among cost, latency, throughput, and accuracy
• 6 years of experience deploying scalable, responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or comparable private cloud environments
• Experience designing, developing, delivering, and supporting AI services
• Experience developing AI and ML technologies such as LLM inference, similarity search, vector databases, guardrails, or memory using Python, C++, C#, Java, CUDA, or Golang
• Experience applying advanced techniques to optimize training and inference software for better hardware utilization, latency, throughput, and cost
• Experience building agentic AI systems and agentic workflows
• Strong interest in current AI research and the ability to evaluate and apply new methods thoughtfully in production
• Experience designing distributed systems for model training, evaluation, and online inference at petabyte scale
• Experience defining AI model governance processes, including reproducibility, lineage tracking, and automated retraining schedules
• Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms

• Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that improve how our associates work and how our customers interact with Capital One
• Design, build, test, deploy, and support AI software components, including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability
• Use open-source and SaaS AI technologies such as AWS Ultraclusters, Hugging Face, vector databases, PyTorch, and related tools
• Develop and introduce advanced foundation model optimization approaches to improve scalability, cost, latency, and throughput in large-scale production AI systems
• Help shape the technical vision and long-term roadmap for foundational AI systems at Capital One
• Own end-to-end architecture for complex AI systems, with attention to maintainability, observability, and ethical alignment
• Define and maintain service-level objectives for AI reliability, including latency, uptime, and model performance drift
• Work with infrastructure engineering to improve GPU/TPU utilization and speed up model inference pipelines
• Lead cross-functional technical reviews for new AI system deployments to ensure security, data governance, and compliance requirements are met
• Mentor Principal and Senior Associates on scalable architecture, performance tuning, and translating research into production solutions

• Agentic AI
• AI
• AWS
• Azure
• C#
• Cloud
• CUDA
• Golang
• Hardware
• Support
• Java
• LLM
• Model Training
• PyTorch
• Python
• Scala
• Security
• Machine Learning

More:

We are building responsible and reliable AI systems that are changing banking for good. Our Intelligent Foundations and Experiences team sits at the center of our AI vision, working closely with partners across the company to advance the state of the art in science and AI engineering. We build and deploy proprietary solutions that support millions of customers and help teams across Capital One enhance their products in responsible, scalable ways. This role offers a competitive salary range by location, eligibility for performance-based incentive compensation, and a comprehensive set of health, financial, and other benefits that support total well-being. We also consider sponsorship for a new qualified applicant for employment authorization for this position.

last updated 44 week of 2026

• We require a bachelors degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field, plus at least 8 years of experience developing AI and ML algorithms or technologies; or a masters degree in one of these fields plus at least 6 years of comparable experience.
• We require at least 8 years of programming experience with Python, Go, Scala, or Java.
• Preferred qualifications include 8 years of experience deploying scalable and responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or similar private cloud environments.
• Preferred qualifications include experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems.
• Preferred qualifications include demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level.
• Preferred qualifications include experience developing AI and ML technologies such as LLM inference, similarity search, VectorDBs, guardrails, and memory using Python, C++, C#, Java, or Golang.
• Preferred qualifications include experience applying advanced techniques to optimize training and inference software for better hardware utilization, latency, throughput, and cost.
• Preferred qualifications include strong awareness of current AI research and systems, with the ability to apply new methods thoughtfully in production.
• Preferred qualifications include excellent communication and presentation skills and the ability to explain complex AI concepts clearly to peers.

• We partner with cross-functional engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that reshape how our associates work and how our customers engage with Capital One.
• We design, build, test, deploy, and support AI software components, including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
• We work with a broad set of open source and SaaS AI technologies, including AWS Ultraclusters, Hugging Face, VectorDBs, NeMo Guardrails, PyTorch, and related tools.
• We invent and introduce state-of-the-art LLM optimization techniques to improve scalability, cost, latency, and throughput in large-scale production AI systems.
• We contribute to the technical vision and long-term roadmap for foundational AI systems at Capital One.

• AI
• AWS
• Azure
• C#
• Cloud
• Golang
• Hardware
• Support
• Java
• LLM
• Model Training
• PyTorch
• Python
• Scala
• Machine Learning

More:

We are Capital One, building responsible and reliable AI systems to improve banking for good. Our Intelligent Foundations and Experiences (IFX) team sits at the center of our AI vision, working closely with partners across the company to advance science and AI engineering and to create proprietary solutions that serve millions of customers. We are open to hiring a remote employee for this opportunity. This role is also eligible for performance-based incentive compensation and a comprehensive, competitive, and inclusive benefits package that supports total well-being. We may also consider sponsoring a new qualified applicant for employment authorization for this position.

last updated 44 week of 2026

• Bachelors degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field and at least 4 years of experience developing AI/ML algorithms or technologies; or a relevant masters degree and at least 2 years of that experience
• At least 4 years of programming experience with Python, Go, Scala, CUDA, or Java
• Ability to build high-quality systems, apply sound judgment, and contribute to work aimed at improving banking
• Interest in current AI research and ability to assess scientific publications and apply relevant techniques in production
• Ability to navigate ambiguity, investigate complex problems, communicate findings clearly, and propose new ideas
• Strong engineering and mathematical foundations, with technical knowledge across hardware, software, and AI
• Resilience and resourcefulness in finding paths toward business goals
• Preferred: Experience leading AI system development and balancing cost, latency, throughput, and accuracy
• Preferred: 6 or more years deploying scalable, responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or private cloud
• Preferred: Experience designing, developing, delivering, and supporting AI services
• Preferred: Experience building AI/ML algorithms or technologies, such as LLM inference, similarity search, vector databases, guardrails, or memory, using Python, C++, C#, Java, CUDA, or Go
• Preferred: Experience optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
• Preferred: Experience building agentic AI systems and workflows
• Preferred: Expertise in distributed systems for model training, evaluation, and online inference at petabyte scale
• Preferred: Experience defining AI model governance processes, including production readiness, lineage tracking, and automated retraining schedules
• Preferred: Demonstrated ability to influence architecture across multiple AI product lines or platforms

• Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products for associates and customers
• Design, develop, test, deploy, and support AI components, including foundation model training, LLM inference, agent and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability
• Use open-source and SaaS AI technologies, including AWS Ultraclusters, Hugging Face, vector databases, and PyTorch
• Develop advanced foundation-model optimization techniques to improve the scalability, cost, latency, and throughput of production AI systems
• Help shape the technical vision and long-term roadmap for foundational AI systems
• Own end-to-end architecture for complex AI systems, ensuring maintainability, observability, and ethical alignment
• Establish and maintain AI reliability service-level objectives, including latency, uptime, and model performance drift
• Work with infrastructure engineering to improve GPU/TPU utilization and accelerate model inference pipelines
• Lead cross-functional technical reviews of AI deployments, ensuring security, data governance, and compliance standards are met
• Mentor Principal and Senior Associates in scalable design, performance tuning, and translating research into production

• Agentic AI
• AI
• AWS
• Azure
• C#
• Cloud
• CUDA
• Hardware
• Support
• Java
• LLM
• Model Training
• PyTorch
• Python
• Scala
• Security
• Golang
• Machine Learning

More:

We are hiring an AI Engineer 4 for Capital Ones Intelligent Foundations and Experiences team, which works across the company to advance AI science and engineering and build proprietary solutions and platforms used by teams serving millions of customers. Our work focuses on responsible, scalable AI and on creating reliable systems and new product experiences. The role is available in McLean, Virginia; Cambridge, Massachusetts; New York, New York; San Francisco, California; and San Jose, California. Posted full-time annual salary ranges are $197,300–$225,100 in McLean and Cambridge, and $215,200–$245,600 in New York, San Francisco, and San Jose; pay for other locations varies. The position may also include performance-based cash bonuses and/or long-term incentives. We offer health, financial, and other benefits, with eligibility depending on employment status and level. We will consider sponsorship of a new qualified applicant for employment authorization.

last updated 44 week of 2026

• Bachelors degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field and at least 4 years of experience developing AI/ML algorithms or technologies; or a relevant masters degree and at least 2 years of experience in this area.
• At least 4 years of programming experience with Python, Go, Scala, CUDA, or Java.
• Preferred: Experience leading AI system development and making tradeoff decisions involving cost, latency, throughput, and accuracy.
• Preferred: 6 or more years deploying scalable, responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or equivalent private cloud.
• Preferred: At least 3 years of Kubernetes experience.
• Preferred: Experience designing, developing, delivering, and supporting AI services.
• Preferred: Experience developing AI/ML technologies such as LLM inference, similarity search, vector databases, guardrails, or memory systems, using Python, C++, C#, Java, CUDA, or Go.
• Preferred: Experience optimizing AI training and inference software to improve hardware utilization, latency, throughput, and cost.
• Preferred: Experience building agentic AI systems and workflows.
• Preferred: Knowledge of current AI research and ability to apply new techniques in production.
• Preferred: Proficiency designing distributed systems for model training, evaluation, and online inference at petabyte scale.
• Preferred: Experience defining AI model governance processes, including production readiness, lineage tracking, and automated retraining schedules.
• Preferred: Ability to influence architectural decisions across multiple AI product lines or platforms.
• Ideal candidates bring strong engineering and mathematics foundations, technical expertise across hardware, software, and AI, curiosity, adaptability, resilience, and a commitment to high-quality, responsible work.

• Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products for our associates and customers.
• Design, develop, test, deploy, and support AI software components, including foundation model training, LLM inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
• Use open-source and SaaS AI technologies, including AWS Ultraclusters, Hugging Face, vector databases, and PyTorch.
• Develop foundation-model optimization techniques to improve the scalability, cost, latency, and throughput of production AI systems.
• Help shape the technical vision and long-term roadmap for our foundational AI systems.
• Own end-to-end architecture for complex AI systems, with attention to maintainability, observability, and ethical alignment.
• Define and maintain service-level objectives for AI reliability, including latency, uptime, and model-performance drift.
• Work with infrastructure engineering to improve GPU/TPU utilization and accelerate model-inference pipelines.
• Lead technical reviews for AI system deployments, ensuring security, data governance, and compliance standards are met.
• Mentor Principal and Senior Associates in scalable design, performance tuning, and translating research into production.

• Agentic AI
• AI
• AWS
• Azure
• C#
• Cloud
• CUDA
• Hardware
• Support
• Java
• Kubernetes
• LLM
• Machine Learning
• Model Training
• PyTorch
• Python
• Scala
• Security
• Golang

More:

We are hiring an AI Engineer 4 for our Gen AI Platform Services: Agentic AI work at Capital One. We build responsible, reliable AI systems and use machine learning to create personalized customer experiences and improve how banking serves customers and businesses. The Intelligent Foundations and Experiences team works with partners across the company to advance AI science and engineering and deploy proprietary platforms that support products used by millions. The role is available in Cambridge, Massachusetts; McLean, Virginia; New York, New York; San Francisco, California; and San Jose, California. Listed annual salary ranges are $197,300–$225,100 in Cambridge and McLean, and $215,200–$245,600 in New York, San Francisco, and San Jose; pay for other locations varies. The role may also include performance-based incentives. We offer health, financial, and other benefits, with eligibility depending on employment status and level. We will consider sponsoring employment authorization for a qualified applicant. Capital One is an equal opportunity employer and provides accommodations for applicants who need them.

last updated 44 week of 2026

• We require a bachelors degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field plus at least 6 years of experience developing AI and ML algorithms or technologies, or a masters degree in one of those fields plus at least 4 years of equivalent experience.
• We require at least 6 years of programming experience with Python, Go, Scala, CUDA, or Java.
• We prefer experience leading AI system development with tradeoff decisions across cost, latency, throughput, and accuracy.
• We prefer 7 years of experience delivering scalable and responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or equivalent private cloud environments.
• We prefer experience designing, building, delivering, and supporting complex AI systems.
• We prefer experience developing AI and ML technologies such as LLM inference, similarity search, VectorDBs, guardrails, or memory using Python, C++, C#, Java, CUDA, or Golang.
• We prefer experience applying advanced techniques to optimize training and inference software for better hardware utilization, lower latency, higher throughput, and reduced cost.
• We prefer experience building agentic AI systems and agentic workflows.
• We prefer strong communication and presentation skills, with the ability to explain complex AI concepts clearly to peers.
• We prefer experience architecting and integrating heterogeneous AI systems, including rule-based, retrieval-augmented, and generative components, into unified production pipelines.
• We prefer experience setting and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review.
• We prefer demonstrated ability to balance model performance and operating cost through dynamic inference strategies and model compression.
• We prefer experience right-sizing models, instance counts, and hardware types based on requirements such as context length, token inputs, and token outputs.

• We partner with cross-functional teams of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that improve how our associates work and how our customers interact with us.
• We design, develop, test, deploy, and support AI software components, including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
• We leverage open-source and SaaS AI technologies such as AWS Ultraclusters, Hugging Face, VectorDBs, PyTorch, and similar tools.
• We invent and introduce state-of-the-art foundation model optimization techniques to improve scalability, cost, latency, and throughput in large-scale production AI systems.
• We contribute to the technical vision and long-term roadmap for foundational AI systems.
• We design, implement, and optimize multi-model orchestration pipelines that integrate LLMs, vector search, and domain-specific models into unified systems.
• We establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency.
• We lead team design councils or design review boards to maintain technical consistency and alignment with AI engineering standards.
• We mentor Principal- and Manager-level AI engineers and help raise organizational technical maturity through cross-domain learning.

• Agentic AI
• AI
• AWS
• Azure
• C#
• Cloud
• CUDA
• Golang
• Hardware
• Support
• Java
• LLM
• Machine Learning
• Model Training
• PyTorch
• Python
• Scala

More:

Capital One is building responsible and reliable AI systems to transform banking, drawing on deep machine learning expertise, strong technology infrastructure, and world-class talent. Our Intelligent Foundations and Experiences (IFX) team sits at the center of our AI strategy, partnering across the company to advance science and AI engineering and to deliver proprietary solutions that serve millions of customers. This AI Engineer 5 role offers the chance to help shape scalable, high-performance AI infrastructure and innovative product experiences. The position includes location-based salary ranges for McLean, Cambridge, New York, San Francisco, and San Jose, plus eligibility for performance-based incentive compensation and a comprehensive benefits package supporting overall well-being. We also consider sponsorship for a new qualified applicant for employment authorization for this position.

last updated 44 week of 2026

• We need a bachelors degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field, plus at least 6 years of experience developing AI and ML algorithms or technologies, or a masters degree in one of those fields plus at least 4 years of relevant experience
• We need at least 6 years of programming experience with Python, Go, Scala, CUDA, or Java
• We value experience leading AI system development with trade-off decisions around cost, latency, throughput, and accuracy
• We prefer 7 years of experience deploying scalable and responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or similar private cloud environments
• We look for experience designing, building, delivering, and supporting complex AI systems
• We value experience developing AI and ML technologies such as LLM inference, similarity search, VectorDBs, guardrails, and memory using Python, C++, C#, Java, CUDA, or Golang
• We prefer experience applying advanced methods to optimize training and inference software to improve hardware utilization, latency, throughput, and cost
• We look for experience building agentic AI systems and agentic workflows
• We value strong communication and presentation skills, with the ability to explain complex AI concepts to peers
• We prefer experience architecting and integrating heterogeneous AI systems, including rule-based, retrieval-augmented, and generative components, into unified production pipelines
• We value experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes
• We look for demonstrated ability to balance model performance and operating cost through dynamic inference strategies and model compression
• We value experience right-sizing models, instance counts, and hardware types based on requirements such as context length, token inputs, and token outputs

• We partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that improve how our associates work and how our customers interact with Capital One
• We design, develop, test, deploy, and support AI software components, including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability
• We leverage a broad stack of open-source and SaaS AI technologies, including AWS Ultraclusters, Hugging Face, VectorDBs, PyTorch, and more
• We invent and introduce state-of-the-art foundation model optimization techniques to improve scalability, cost, latency, and throughput in large-scale production AI systems
• We contribute to the technical vision and long-term roadmap for foundational AI systems at Capital One
• We design, implement, and optimize multi-model orchestration pipelines that integrate LLMs, vector search, and domain-specific models into unified systems
• We establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency
• We lead team design councils or design review boards to maintain technical consistency and compliance with AI engineering standards
• We mentor Principal- and Manager-level AI engineers, encouraging cross-domain learning and raising the organizations technical maturity

• Agentic AI
• AI
• AWS
• Azure
• C#
• Cloud
• CUDA
• Golang
• Hardware
• Support
• Java
• LLM
• Model Training
• PyTorch
• Python
• Scala
• Machine Learning

More:

At Capital One, we are building responsible and reliable AI systems to change banking for good. Our Intelligent Foundations and Experiences (IFX) team sits at the heart of that mission, working closely with partners across the company to advance the state of the art in science and AI engineering and to build proprietary solutions that serve millions of customers. We offer a comprehensive, competitive, and inclusive benefits package that supports total well-being, along with performance-based incentive compensation that may include cash bonuses and long-term incentives. This role includes salary ranges that vary by location, with positions listed in Cambridge, McLean, New York, and San Jose. We may consider sponsorship for a new qualified applicant for employment authorization for this position.

last updated 44 week of 2026

• We require a bachelors degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related discipline plus at least 4 years of experience developing AI and ML algorithms or technologies, or a masters degree in one of those fields plus at least 2 years of experience developing AI and ML algorithms or technologies.
• We require at least 4 years of experience programming in Python, Go, Scala, CUDA, or Java.
• We prefer experience leading the development of AI systems with tradeoff decisions around cost, latency, throughput, and accuracy.
• We prefer 6 years of experience deploying scalable and responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or equivalent private cloud.
• We prefer experience designing, developing, delivering, and supporting AI services.
• We prefer experience building AI and ML algorithms or technologies such as LLM inference, similarity search and vector databases, guardrails, and memory using Python, C++, C#, Java, CUDA, or Golang.
• We prefer experience applying advanced techniques to optimize training and inference software for better hardware utilization, latency, throughput, and cost.
• We prefer experience building agentic AI systems and agentic workflows.
• We prefer strong awareness of current AI research and systems, with the ability to apply new techniques thoughtfully in production.
• We prefer proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale.
• We prefer experience defining AI model governance processes, including reproducibility, lineage tracking, and automated retraining schedules.
• We prefer demonstrated ability to influence architectural decisions across multiple AI product lines or platforms.

• We partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that improve how our associates work and how our customers engage with us.
• We design, develop, test, deploy, and support AI software components, including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
• We use a broad range of open-source and SaaS AI technologies such as AWS Ultraclusters, Hugging Face, vector databases, PyTorch, and similar tools.
• We invent and apply state-of-the-art foundation model optimization approaches to improve scalability, cost, latency, and throughput in large-scale production AI systems.
• We help shape the technical vision and long-term roadmap for foundational AI systems.
• We own end-to-end architecture for complex AI systems, with attention to maintainability, observability, and ethical alignment.
• We define and maintain service-level objectives for AI reliability, including latency, uptime, and model performance drift.
• We work with infrastructure engineering to improve GPU and TPU utilization and speed up model inference pipelines.
• We lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are satisfied.
• We mentor Principal and Senior Associates on scalable design, performance tuning, and translating research into production.

• Agentic AI
• AI
• AWS
• Azure
• C#
• Cloud
• CUDA
• Golang
• Hardware
• Support
• Java
• LLM
• Model Training
• PyTorch
• Python
• Scala
• Security
• Machine Learning

More:

At Capital One, we are building responsible and reliable AI systems to help change banking for good. Our Intelligent Foundations and Experiences team sits at the center of our AI vision, partnering across the company to advance science and AI engineering and to deliver proprietary solutions that serve millions of customers. We build scalable, high-performance AI platforms that help teams enhance products in responsible ways. This role is based in locations including Cambridge, McLean, New York, San Francisco, and San Jose, with salary ranges varying by location, and it is also eligible for performance-based incentives and a comprehensive benefits package supporting total well-being. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

last updated 44 week of 2026

• We require a bachelors degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field, along with at least 6 years of experience developing AI and ML algorithms or technologies; alternatively, a masters degree in one of those fields plus at least 4 years of relevant experience.
• We require at least 6 years of programming experience with Python, Go, Scala, CUDA, or Java.
• We prefer candidates with experience leading AI system development and making tradeoff decisions across cost, latency, throughput, and accuracy.
• We prefer 7 years of experience deploying scalable, responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or comparable private cloud environments.
• We prefer experience designing, developing, delivering, and supporting complex AI systems.
• We prefer experience building AI and ML capabilities such as LLM inference, similarity search and vector databases, guardrails, and memory using Python, C++, C#, Java, CUDA, or Golang.
• We prefer experience applying advanced techniques to optimize training and inference software for better hardware utilization, latency, throughput, and cost.
• We prefer experience building agentic AI systems and multi-agent workflows.
• We prefer a strong interest in the latest AI research and the ability to apply new techniques thoughtfully in production.
• We prefer excellent communication and presentation skills with the ability to explain complex AI concepts to peers.
• We prefer experience architecting and integrating heterogeneous AI systems, including rule-based, retrieval-augmented, and generative components, into unified production pipelines.
• We prefer experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review.
• We prefer demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression.
• We prefer experience right-sizing models, instance counts, and hardware types based on requirements such as context length, token inputs, and token outputs.

• We will partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that improve how our associates work and how our customers interact with Capital One.
• We will design, develop, test, deploy, and support AI software components, including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
• We will use a broad stack of open source and SaaS AI technologies, including AWS Ultraclusters, Hugging Face, vector databases, PyTorch, and related tools.
• We will invent and introduce advanced foundation model optimization techniques to improve scalability, cost, latency, and throughput in large-scale production AI systems.
• We will help shape the technical vision and long-term roadmap for foundational AI systems at Capital One.
• We will design, implement, and optimize multi-model orchestration pipelines that combine LLMs, vector search, and domain-specific models into unified systems.
• We will establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency.
• We will lead design councils or design review boards to maintain technical consistency and alignment with AI engineering standards.
• We will mentor Principal- and Manager-level AI engineers and help strengthen cross-domain learning and organizational technical maturity.

• Agentic AI
• AI
• AWS
• Azure
• C#
• Cloud
• CUDA
• Golang
• Hardware
• Support
• Java
• LLM
• Model Training
• PyTorch
• Python
• Scala
• Machine Learning

More:

We are Capital One, building responsible and reliable AI systems to change banking for good. Our Intelligent Foundations and Experiences (IFX) team sits at the center of our AI vision, partnering across the company to advance science and AI engineering while building proprietary solutions that create value for millions of customers. We operate at the intersection of AI models, platforms, and product experiences, delivering scalable and high-performance capabilities in a collaborative environment. This role includes location-based salary ranges for Cambridge, McLean, New York, San Francisco, and San Jose, as well as eligibility for performance-based incentives and a comprehensive benefits package focused on total well-being.

last updated 44 week of 2026

• We need a bachelors degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field with at least 4 years of experience developing AI and ML algorithms or technologies, or a masters degree in one of those fields with at least 2 years of such experience.
• We need at least 4 years of programming experience with Python, Go, Scala, CUDA, or Java.
• Preferred: experience leading AI system development with tradeoff decisions across cost, latency, throughput, and accuracy.
• Preferred: 6 years of experience delivering scalable, responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or equivalent private cloud.
• Preferred: experience designing, developing, delivering, and supporting AI services.
• Preferred: experience building AI and ML capabilities such as LLM inference, similarity search, vector databases, guardrails, and memory using Python, C++, C#, Java, CUDA, or Golang.
• Preferred: experience applying advanced techniques to optimize training and inference software for better hardware utilization, latency, throughput, and cost.
• Preferred: experience building agentic AI systems and multi-agent workflows.
• Preferred: strong familiarity with current AI research and the ability to apply novel methods in production.
• Preferred: experience designing distributed systems for model training, evaluation, and online inference at petabyte scale.
• Preferred: experience defining AI governance processes, including reproducibility, lineage tracking, and automated retraining schedules.
• Preferred: demonstrated ability to influence architectural decisions across multiple AI product lines or platforms.

• We partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that improve how our associates work and how our customers interact with Capital One.
• We design, build, test, deploy, and support AI software components, including foundation model training, large language model inference, agents, multi-agent workflows, similarity search, guardrails, evaluation, experimentation, governance, and observability.
• We use open-source and SaaS AI technologies such as AWS Ultraclusters, Hugging Face, VectorDBs, PyTorch, and related tools.
• We invent and apply foundation model optimization methods to improve scalability, cost, latency, and throughput in large-scale production AI systems.
• We help shape the technical direction and long-term roadmap for foundational AI systems.
• We own end-to-end architecture for complex AI systems, with attention to maintainability, observability, and ethical alignment.
• We define and maintain service-level objectives for AI reliability, including latency, uptime, and model performance drift.
• We work with infrastructure engineering to improve GPU and TPU utilization and speed up model inference pipelines.
• We lead cross-functional technical reviews for new AI deployments, ensuring security, data governance, and compliance standards are met.
• We mentor Principal and Senior Associates on scalable design, performance tuning, and translating research into production.

• Agentic AI
• AI
• AWS
• Azure
• C#
• Cloud
• CUDA
• Golang
• Hardware
• Support
• Java
• LLM
• Model Training
• PyTorch
• Python
• Scala
• Security
• Machine Learning

More:

We are Capital One, building responsible and reliable AI systems to help change banking for good. Our Intelligent Foundations and Experiences team sits at the center of our AI vision, working closely with partners across the company to advance science and AI engineering and to build proprietary solutions that deliver value to millions of customers. We invest in world-class technology, scalable AI infrastructure, and high-performing teams, and this role is based in locations including Cambridge, McLean, New York, and San Jose, with compensation ranges that vary by location. The position may also be eligible for performance-based incentives and a comprehensive benefits package, and we support a broad, inclusive set of health, financial, and wellbeing benefits.

last updated 44 week of 2026

• We require a bachelors degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related discipline, plus at least 4 years of experience developing AI and ML algorithms or technologies; or a masters degree in one of those fields plus at least 2 years of relevant experience.
• We require at least 4 years of programming experience with Python, Go, Scala, CUDA, or Java.
• We prefer candidates with experience leading AI system development where tradeoffs among cost, latency, throughput, and accuracy are considered.
• We prefer 6 years of experience deploying scalable and responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or comparable private cloud environments.
• We prefer experience designing, developing, delivering, and supporting AI services.
• We prefer experience developing AI and ML technologies such as LLM inference, similarity search and VectorDBs, guardrails, and memory using Python, C++, C#, Java, CUDA, or Golang.
• We prefer experience applying modern techniques to optimize training and inference software for better hardware utilization, latency, throughput, and cost.
• We prefer experience building agentic AI systems and agentic workflows.
• We prefer strong familiarity with current AI research and the ability to apply new techniques thoughtfully in production.
• We prefer experience designing distributed systems for model training, evaluation, and online inference at petabyte scale.
• We prefer experience defining AI governance processes, including reproducibility, lineage tracking, and automated retention schedules.
• We prefer demonstrated ability to influence architectural decisions across multiple AI product lines or platforms.

• We partner with cross-functional teams of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products for our associates and customers.
• We design, build, test, deploy, and support AI software components, including foundation model training, large language model inference, agents, multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
• We work with open-source and SaaS AI technologies such as AWS Ultraclusters, Hugging Face, VectorDBs, and PyTorch.
• We create and apply advanced foundation model optimization methods to improve scalability, cost, latency, and throughput for large-scale production AI systems.
• We contribute to the technical direction and long-term roadmap for foundational AI systems.
• We own end-to-end architecture for complex AI systems, with attention to maintainability, observability, and ethical alignment.
• We define and maintain service-level objectives for AI reliability, including latency, uptime, and model performance drift.
• We collaborate with infrastructure engineering to improve GPU and TPU utilization and speed up model inference pipelines.
• We lead cross-functional technical reviews for new AI system releases, ensuring security, data governance, and compliance expectations are met.
• We mentor Principal and Senior Associates on scalable design, performance tuning, and translating research into production.

• Agentic AI
• AI
• AWS
• Azure
• C#
• Cloud
• CUDA
• Golang
• Hardware
• Support
• Java
• LLM
• Machine Learning
• Model Training
• PyTorch
• Python
• Scala
• Security

More:

At Capital One, we are building responsible and reliable AI systems to help change banking for good. Our Intelligent Foundations and Experiences (IFX) team sits at the center of our AI vision, working closely with partners across the company to advance science and AI engineering and to deliver proprietary solutions that create value for millions of customers. We invest in technology infrastructure, world-class talent, and machine learning expertise to deliver scalable, high-performance AI capabilities with meaningful product experiences. This role is based in Cambridge, MA, New York, NY, or San Jose, CA, and the position may be eligible for performance-based incentive compensation and a comprehensive benefits package that supports total well-being. We also note that we may consider sponsoring a new qualified applicant for employment authorization for this position.

last updated 44 week of 2026

• Bachelors degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field and at least 4 years of experience developing AI/ML algorithms or technologies; or a relevant masters degree and at least 2 years of that experience
• At least 4 years of programming experience with Python, Go, Scala, CUDA, or Java
• Experience leading AI systems development and making trade-offs among cost, latency, throughput, and accuracy
• Preferred: 6 years of experience deploying scalable, responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or an equivalent private cloud
• Experience designing, delivering, and supporting AI services and developing AI/ML technologies such as LLM inference, similarity search, vector databases, guardrails, or memory
• Experience optimizing AI training and inference software to improve hardware utilization, latency, throughput, and cost
• Experience building agentic AI systems and workflows
• Ability to keep current with AI research and apply suitable new techniques in production
• Proficiency in distributed systems for model training, evaluation, and online inference at petabyte scale
• Experience defining AI model governance processes, including producibility, lineage tracking, and automated retraining schedules
• Demonstrated ability to influence architecture across multiple AI product lines or platforms
• Strong engineering and mathematics foundations, technical curiosity, adaptability, resilience, and a commitment to responsible, high-quality work

• Partner with engineers, research scientists, technical program managers, and product managers to build AI products for associates and customers
• Design, develop, test, deploy, and support AI software, including foundation-model training, LLM inference, agents and multi-agent workflows, similarity search, guardrails, evaluation, experimentation, governance, and observability
• Work with open-source and SaaS AI technologies, including AWS Ultraclusters, Hugging Face, vector databases, and PyTorch
• Develop foundation-model optimization techniques that improve the scalability, cost, latency, and throughput of production AI systems
• Help shape the technical vision and long-term roadmap for our foundational AI systems
• Own end-to-end architecture for complex AI systems, with attention to maintainability, observability, and ethical alignment
• Define and maintain AI reliability service-level objectives, including latency, uptime, and model-performance drift
• Collaborate with infrastructure engineering to improve GPU/TPU utilization and model-inference pipelines
• Lead technical reviews of AI deployments to ensure security, data governance, and compliance standards are met
• Mentor Principal and Senior Associates in scalable design, performance tuning, and translating research into production

• Agentic AI
• AI
• AWS
• Azure
• Cloud
• CUDA
• Hardware
• Support
• Java
• LLM
• Machine Learning
• Model Training
• PyTorch
• Python
• Scala
• Security
• C#
• Golang

More:

We are Capital One, where we build responsible, reliable AI to improve banking. Our investments in technology, machine learning, and engineering support personalized customer experiences and scalable AI capabilities. You would join our Intelligent Foundations and Experiences team, which works across the company to advance AI science and engineering and deliver proprietary solutions used by millions of customers. The role is offered in Cambridge, Massachusetts; McLean, Virginia; New York, New York; and San Jose, California. Published annual salary ranges are $197,300–$225,100 in Cambridge and McLean, and $215,200–$245,600 in New York and San Jose; pay varies by work location. The position may also include performance-based incentives and comprehensive health, financial, and other benefits, subject to eligibility. We will consider sponsoring a qualified applicant for employment authorization.

last updated 44 week of 2026

• Bachelors degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field and at least 6 years of experience developing AI/ML algorithms or technologies; alternatively, a masters degree in one of these fields and at least 4 years of relevant experience.
• At least 6 years of programming experience with Python, Go, Scala, CUDA, or Java.
• Experience leading AI system development and making tradeoffs among cost, latency, throughput, and accuracy.
• 7+ years of experience deploying scalable, responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or equivalent private cloud environments.
• Experience designing, developing, delivering, and supporting complex AI systems.
• Experience developing AI/ML algorithms or technologies, such as LLM inference, similarity search, vector databases, guardrails, or memory, using Python, C++, C#, Java, CUDA, or Go.
• Experience optimizing AI training and inference software to improve hardware utilization, latency, throughput, and cost.
• Experience building agentic AI systems and workflows.
• Strong interest in current AI research and the ability to apply novel techniques judiciously in production.
• Excellent communication and presentation skills, including the ability to explain complex AI concepts to peers.
• Experience integrating rule-based, retrieval-augmented, and generative AI components into unified production pipelines.
• Experience defining and enforcing ethical AI deployment standards, including explainability, fairness, and human-in-the-loop review.
• Ability to balance model performance and operating costs through dynamic inference strategies and model compression.
• Experience sizing models, instance counts, and hardware to meet requirements such as context length and input and output token volumes.
• Strong engineering and mathematics fundamentals, technical expertise across hardware, software, and AI, and the ability to investigate complex, ambiguous problems.
• For this position, we will consider sponsoring a new qualified applicant for employment authorization.

• Collaborate with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products for our associates and customers.
• Design, develop, test, deploy, and support AI software, including foundation model training, LLM inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
• Use open-source and SaaS AI technologies, including AWS Ultraclusters, Hugging Face, vector databases, and PyTorch.
• Develop foundation model optimization techniques to improve the scalability, cost, latency, and throughput of large-scale production AI systems.
• Help shape the technical vision and long-term roadmap for our foundational AI systems.
• Design, implement, and optimize multi-model orchestration pipelines that combine LLMs, vector search, and domain-specific models.
• Lead cost-performance governance reviews, monitoring GPU utilization, model throughput, and inference cost efficiency.
• Lead design councils or review boards to promote technical consistency and compliance with AI engineering standards.
• Mentor Principal- and Manager-level AI engineers, supporting cross-domain learning and organizational technical growth.

• Agentic AI
• AI
• AWS
• Azure
• C#
• Cloud
• CUDA
• Hardware
• Support
• Java
• LLM
• Model Training
• PyTorch
• Python
• Scala
• Golang
• Machine Learning

More:

We are Capital One, where we build responsible, reliable AI systems to improve banking and create personalized customer experiences. Our Intelligent Foundations and Experiences team partners across the company to advance AI science and engineering and deliver proprietary, scalable solutions that serve millions of customers. This AI Engineer 5 role is based in Cambridge, Massachusetts; McLean, Virginia; New York, New York; San Francisco, California; or San Jose, California. The listed annual salary ranges are $229,900–$262,400 in Cambridge and McLean, and $250,800–$286,200 in New York, San Francisco, and San Jose; pay for other locations varies. The role is eligible for performance-based incentives, and we offer comprehensive health, financial, and other benefits, with eligibility depending on employment status and level. We are an equal opportunity employer and provide an inclusive workplace.

last updated 44 week of 2026

• We require a bachelors degree in computer science, AI, electrical engineering, computer engineering, or a related field and at least 6 years of experience developing AI/ML algorithms or technologies; alternatively, a masters degree in one of these fields and at least 4 years of relevant experience.
• We require at least 6 years of programming experience with Python, Go, Scala, CUDA, or Java.
• We prefer experience leading AI systems development and making tradeoffs among cost, latency, throughput, and accuracy.
• We prefer 7 or more years of experience deploying scalable, responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or equivalent private cloud environments.
• We value experience designing, developing, delivering, and supporting complex AI systems, including agentic systems and workflows.
• We prefer experience developing AI/ML technologies such as LLM inference, similarity search, vector databases, guardrails, and memory using Python, C++, C#, Java, CUDA, or Go.
• We value experience optimizing AI training and inference software for hardware utilization, latency, throughput, and cost, including model compression and right-sizing models, instances, and hardware.
• We prefer experience architecting and integrating rule-based, retrieval-augmented, and generative AI components into unified production pipelines.
• We value experience setting standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review.
• We seek strong communication and presentation skills, sound engineering and mathematical foundations, adaptability in ambiguous situations, and an ability to apply current AI research thoughtfully in production.
• We value resilience, initiative, a commitment to high-quality work, and a passion for building responsible AI systems that improve banking.

• We collaborate with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products for our associates and customers.
• We design, develop, test, deploy, and support AI software components, including foundation model training, LLM inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
• We use open-source and SaaS AI technologies, including AWS Ultraclusters, Hugging Face, vector databases, and PyTorch.
• We develop and apply foundation-model optimization techniques to improve the scalability, cost, latency, and throughput of production AI systems.
• We contribute to the technical vision and long-term roadmap for our foundational AI systems.
• We design, implement, and optimize multi-model orchestration pipelines that combine LLMs, vector search, and domain-specific models.
• We lead cost-performance governance reviews, tracking GPU utilization, model throughput, and inference-cost efficiency.
• We lead design councils or review boards to promote technical consistency and adherence to AI engineering standards.
• We mentor Principal- and Manager-level AI engineers and support cross-domain learning and organizational technical growth.

• AI
• AWS
• Azure
• C#
• Cloud
• CUDA
• Hardware
• Support
• Java
• LLM
• Model Training
• PyTorch
• Python
• Scala
• Agentic AI
• Golang
• Machine Learning

More:

We are hiring an AI Engineer 5 for our Gen AI Platform Services: Agentic Systems work at Capital One. We build responsible, reliable AI systems to improve banking and customer experiences. Our Intelligent Foundations and Experiences team partners across the company to advance AI science and engineering and develop proprietary solutions and platforms used by teams and millions of customers. The role is listed in Cambridge, Massachusetts; McLean, Virginia; New York, New York; San Francisco, California; and San Jose, California. The stated annual salary ranges are $229,900–$262,400 in Cambridge and McLean, and $250,800–$286,200 in New York, San Francisco, and San Jose; pay ranges vary by work location, and the role may also include performance-based incentives. We offer health, financial, and other benefits, with eligibility varying by employment status and level. We will consider sponsoring a qualified applicant for employment authorization.

last updated 44 week of 2026

• Bachelors degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field plus at least 4 years of experience developing AI/ML algorithms or technologies; or a relevant masters degree plus at least 2 years of that experience.
• At least 4 years of programming experience with Python, Go, Scala, CUDA, or Java.
• Strong engineering and mathematics fundamentals, with the ability to apply knowledge of hardware, software, and AI to identify optimization opportunities.
• Ability to assess scientific publications and apply relevant research techniques in production; enthusiasm for keeping up with AI research.
• Adaptability and skill in bringing clarity to ambiguous problems, investigating root causes, communicating findings clearly, and proposing new ideas.
• Preferred: Experience leading AI systems development and making tradeoffs among cost, latency, throughput, and accuracy.
• Preferred: 6 or more years deploying scalable, responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or equivalent private cloud.
• Preferred: Experience designing, developing, delivering, and supporting AI services.
• Preferred: Experience developing AI/ML technologies such as LLM inference, similarity search, vector databases, guardrails, or memory using Python, C++, C#, Java, CUDA, or Go.
• Preferred: Experience optimizing training and inference software to improve hardware utilization, latency, throughput, and cost.
• Preferred: Experience building agentic AI systems and workflows.
• Preferred: Proficiency designing distributed systems for model training, evaluation, and online inference at petabyte scale.
• Preferred: Experience defining AI model governance processes, including producibility, lineage tracking, and automated retraining schedules.
• Preferred: Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms.
• We will consider sponsoring a new qualified applicant for employment authorization for this position.

• Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products for our associates and customers.
• Design, develop, test, deploy, and support AI software components, including foundation-model training, LLM inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
• Use open-source and SaaS AI technologies, including AWS Ultraclusters, Hugging Face, vector databases, and PyTorch.
• Develop and introduce advanced foundation-model optimization techniques to improve production system scalability, cost, latency, and throughput.
• Help shape the technical vision and long-term roadmap for our foundational AI systems.
• Own end-to-end architecture for complex AI systems, ensuring maintainability, observability, and ethical alignment.
• Define and maintain service-level objectives for AI reliability, including latency, uptime, and model-performance drift.
• Work with infrastructure engineering to improve GPU/TPU utilization and accelerate model-inference pipelines.
• Lead cross-functional technical reviews for AI system deployments, ensuring security, data governance, and compliance standards are met.
• Mentor Principal and Senior Associates in scalable design, performance tuning, and translating research into production.

• Agentic AI
• AI
• AWS
• Azure
• C#
• Cloud
• CUDA
• Hardware
• Support
• Java
• LLM
• Model Training
• PyTorch
• Python
• Scala
• Security
• Golang
• Machine Learning

More:

At Capital One, we build responsible, reliable AI systems to improve banking and create personalized customer experiences. Our Intelligent Foundations and Experiences team works across the company to advance AI science and engineering, developing proprietary models and platforms that deliver value to millions of customers. This AI Engineer 4 role contributes to foundational AI capabilities and scalable infrastructure. The position is available in Cambridge, Massachusetts; McLean, Virginia; New York, New York; and San Jose, California. The listed full-time annual salary ranges are $197,300–$225,100 in Cambridge and McLean, and $215,200–$245,600 in New York and San Jose; pay for other locations varies. The role is eligible for performance-based incentives and our health, financial, and other benefits, with eligibility dependent on employment status and level. We are an equal opportunity employer committed to nondiscrimination and a drug-free workplace.

last updated 44 week of 2026

• We require a bachelors degree in Computer Science, Engineering, or AI with at least 8 years of experience developing AI and ML algorithms or technologies, or a masters degree with at least 6 years of similar experience.
• We require at least 8 years of programming experience with Python, Go, Scala, or Java.
• Preferred: 8 years of experience delivering scalable and responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or comparable private cloud environments.
• Preferred: Experience designing, architecting, integrating, building, and supporting complex AI systems.
• Preferred: Proven ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to VP level.
• Preferred: Experience developing AI and ML technologies such as LLM inference, similarity search, VectorDBs, guardrails, and memory using Python, C++, C#, Java, or Golang.
• Preferred: A masters degree in Computer Science, Computer Engineering, or another relevant technical field.
• Preferred: Experience applying advanced techniques to optimize training and inference software for better hardware utilization, latency, throughput, and cost.
• Preferred: Strong interest in current AI research and AI systems, with the judgment to apply new methods in production.
• Preferred: Excellent communication and presentation skills, including the ability to explain complex AI concepts clearly to peers.

• We partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that improve how our associates work and how our customers interact with Capital One.
• We design, build, test, deploy, and support AI software components, including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
• We work with a broad set of open-source and SaaS AI technologies, including AWS Ultraclusters, Hugging Face, VectorDBs, Nemo Guardrails, PyTorch, and related tools.
• We create and introduce advanced LLM optimization approaches to improve scalability, cost, latency, and throughput in large-scale production AI systems.
• We contribute to the technical vision and long-term roadmap for foundational AI systems at Capital One.

• AI
• AWS
• Azure
• C#
• Cloud
• Golang
• Hardware
• Support
• Java
• LLM
• Machine Learning
• Model Training
• PyTorch
• Python
• Scala

More:

At Capital One, we are building responsible and reliable AI systems and using machine learning to create real-time, personalized customer experiences that help change banking for good. Our Intelligent Foundations and Experiences (IFX) team is developing a new AI-native enterprise platform to support AI-assisted analysis across our business lines, serving a destination audience of 15,000+ users. We combine deterministic code with non-deterministic reasoning systems and both frontier and in-house AI models to transform how our company works in the data analysis space. This opportunity is remote eligible, and we offer a comprehensive, competitive, and inclusive benefits package that supports overall well-being, along with performance-based incentive compensation and location-based salary ranges.

last updated 44 week of 2026

• Bachelors degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field and at least 4 years of experience developing AI/ML algorithms or technologies; alternatively, a masters degree in one of these fields and at least 2 years of relevant experience
• At least 4 years of programming experience with Python, Go, Scala, CUDA, or Java
• Strong engineering and mathematical foundations, with the ability to apply knowledge of hardware, software, and AI to identify optimization opportunities
• Ability to interpret current research and thoughtfully apply novel techniques in production
• Adaptability in ambiguous situations, strong problem-solving and communication skills, and resilience in pursuing business goals
• Preferred: experience leading AI system development and making tradeoffs among cost, latency, throughput, and accuracy
• Preferred: 6 or more years deploying scalable, responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or equivalent private cloud
• Preferred: experience designing, developing, delivering, and supporting AI services
• Preferred: experience developing AI/ML technologies such as LLM inference, similarity search, vector databases, guardrails, or memory, using Python, C++, C#, Java, CUDA, or Go
• Preferred: experience optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
• Preferred: experience building agentic AI systems and workflows
• Preferred: proficiency designing distributed systems for model training, evaluation, and online inference at petabyte scale
• Preferred: experience defining AI model governance processes, including producibility, lineage tracking, and automated retraining schedules
• Preferred: demonstrated ability to influence architecture across multiple AI product lines or platforms
• Preferred: passion for keeping current with AI research and systems and applying suitable advances in production

• Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products for associates and customers
• Design, develop, test, deploy, and support AI software components, including foundation model training, LLM inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability
• Use open-source and SaaS AI technologies, including AWS Ultraclusters, Hugging Face, vector databases, and PyTorch
• Develop foundation model optimization techniques to improve the scalability, cost, latency, and throughput of production AI systems
• Help shape the technical vision and long-term roadmap for foundational AI systems
• Own end-to-end architecture for complex AI systems, ensuring maintainability, observability, and ethical alignment
• Define and maintain AI reliability service-level objectives, including latency, uptime, and model performance drift
• Work with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines
• Lead cross-functional technical reviews for AI system deployments, ensuring security, data governance, and compliance standards are met
• Mentor Principal and Senior Associates in scalable design, performance tuning, and translating research into production

• Agentic AI
• AI
• AWS
• Azure
• C#
• Cloud
• CUDA
• Hardware
• Support
• Java
• LLM
• Machine Learning
• Model Training
• PyTorch
• Python
• Scala
• Security
• Golang

More:

We are Capital One, where we build responsible, reliable AI systems to transform banking. Our investments in technology and machine learning support personalized customer experiences and scalable AI capabilities. The Intelligent Foundations and Experiences team works across the company to advance AI science and engineering and build proprietary solutions that serve millions of customers. This AI Engineer 4 role is based in Cambridge, Massachusetts; McLean, Virginia; New York, New York; or San Jose, California. Listed annual salary ranges are $197,300–$225,100 in Cambridge and McLean and $215,200–$245,600 in New York and San Jose; pay ranges vary by location, and the actual offer is stated in the offer letter. The role is eligible for performance-based incentives and comprehensive health, financial, and other benefits, with eligibility dependent on employment status and level. We will consider sponsoring a new qualified applicant for employment authorization. Applications are expected to be accepted for at least five business days. We are an equal opportunity employer and promote a drug-free workplace.

last updated 44 week of 2026

• Bachelors degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field, plus at least 6 years of experience developing AI/ML algorithms or technologies; or a relevant masters degree plus at least 4 years of such experience.
• At least 6 years of programming experience with Python, Go, Scala, CUDA, or Java.
• Strong engineering and mathematics fundamentals, with technical expertise across hardware, software, and AI.
• Ability to interpret AI research and apply suitable techniques in production; adapt to ambiguous problems, investigate root causes, communicate findings clearly, and develop solutions to unfamiliar challenges.
• Preferred: Experience leading AI system development and making cost, latency, throughput, and accuracy trade-offs.
• Preferred: 7 or more years deploying scalable, responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or equivalent private cloud environments.
• Preferred: Experience designing, building, delivering, and supporting complex AI systems, including LLM inference, similarity search, vector databases, guardrails, or memory.
• Preferred: Experience with AI/ML development using Python, C++, C#, Java, CUDA, or Golang, and with optimization techniques that improve hardware utilization, latency, throughput, or cost.
• Preferred: Experience building agentic AI systems and workflows, and architecting unified production pipelines that integrate rule-based, retrieval-augmented, and generative systems.
• Preferred: Experience setting ethical AI deployment standards, including explainability, fairness, and human-in-the-loop review; balancing performance and operating costs through dynamic inference or model compression; and right-sizing models, instances, and hardware for workload needs.
• Preferred: Strong communication and presentation skills, including the ability to explain complex AI concepts to peers, and an interest in keeping current with AI research and systems.

• Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products for our associates and customers.
• Design, develop, test, deploy, and support AI components, including foundation model training, LLM inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
• Use open-source and SaaS AI technologies, including AWS Ultraclusters, Hugging Face, vector databases, and PyTorch.
• Develop and introduce foundation-model optimization techniques to improve the scalability, cost, latency, and throughput of production AI systems.
• Help shape the technical vision and long-term roadmap for our foundational AI systems.
• Design, implement, and optimize multi-model orchestration pipelines that combine LLMs, vector search, and domain-specific models.
• Establish and lead cost-performance governance reviews, monitoring GPU utilization, model throughput, and inference cost efficiency.
• Lead design councils or review boards to support technical consistency and adherence to AI engineering standards.
• Mentor Principal- and Manager-level AI engineers, encouraging cross-domain learning and strengthening organizational technical capabilities.

• Agentic AI
• AI
• AWS
• Azure
• C#
• Cloud
• CUDA
• Golang
• Hardware
• Support
• Java
• LLM
• Model Training
• PyTorch
• Python
• Scala
• Machine Learning

More:

At Capital One, we build responsible, reliable AI systems to improve banking and create personalized customer experiences. Our Intelligent Foundations and Experiences team works across the company to advance AI science and engineering and develop proprietary models and platforms used by teams serving millions of customers. We offer this AI Engineer 5 role in Cambridge, Massachusetts; McLean, Virginia; New York, New York; San Francisco, California; and San Jose, California. Listed annual salary ranges are $229,900–$262,400 in Cambridge and McLean, and $250,800–$286,200 in New York, San Francisco, and San Jose; pay for other locations varies. The role is also eligible for performance-based incentives. We provide a competitive, inclusive benefits package supporting health and overall well-being, with eligibility dependent on role and employment status. We are an equal opportunity employer and will consider sponsoring a new qualified applicant for employment authorization for this position.

last updated 44 week of 2026

• We require a bachelors degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field, plus at least 6 years of experience developing AI and ML algorithms or technologies, or a masters degree in one of those fields plus at least 4 years of relevant experience.
• We require at least 6 years of programming experience with Python, Go, Scala, CUDA, or Java.
• We prefer candidates with experience leading AI system development where cost, latency, throughput, and accuracy tradeoffs must be balanced.
• We prefer 7 years of experience deploying scalable and responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or equivalent private cloud environments.
• We prefer experience designing, developing, delivering, and supporting complex AI systems.
• We prefer experience building AI and ML algorithms or technologies such as LLM inference, similarity search, vector databases, guardrails, or memory using Python, C++, C#, Java, CUDA, or Golang.
• We prefer experience applying advanced techniques to optimize training and inference software for better hardware utilization, latency, throughput, and cost.
• We prefer experience creating agentic AI systems and agentic workflows.
• We prefer strong communication and presentation skills, with the ability to explain complex AI concepts clearly to peers.
• We prefer experience architecting and integrating mixed AI systems, including rule-based, retrieval-augmented, and generative components, into production pipelines.
• We prefer experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review.
• We prefer the ability to balance model performance and operating cost through dynamic inference strategies and model compression.
• We prefer experience right-sizing models, instance counts, and hardware types based on requirements such as context length and token volumes.

• We partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that improve how our associates work and how our customers interact with Capital One.
• We design, develop, test, deploy, and support AI software components, including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
• We use a broad set of open-source and SaaS AI technologies, including AWS Ultraclusters, Hugging Face, VectorDBs, PyTorch, and related tools.
• We invent and introduce advanced foundation model optimization techniques to improve the scalability, cost, latency, and throughput of large-scale production AI systems.
• We contribute to the technical vision and long-term roadmap for foundational AI systems at Capital One.
• We design, implement, and optimize multi-model orchestration pipelines that unify LLMs, vector search, and domain-specific models.
• We establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency.
• We lead design councils or design review boards to support technical consistency and alignment with AI engineering standards.
• We mentor Principal- and Manager-level AI engineers, encourage cross-domain learning, and help raise the organizations technical maturity.

• Agentic AI
• AI
• AWS
• Azure
• C#
• Cloud
• CUDA
• Golang
• Hardware
• Support
• Java
• LLM
• Model Training
• PyTorch
• Python
• Scala
• Machine Learning

More:

At Capital One, we are building responsible and reliable AI systems that are changing banking for good. Our Intelligent Foundations and Experiences team sits at the center of our AI vision, working closely with partners across the company to advance science and AI engineering and to build proprietary solutions that deliver value to millions of customers. We empower teams across Capital One with scalable, responsible AI platforms and models, and this role is based in locations including Cambridge, McLean, New York, and San Jose. The position is eligible for performance-based incentive compensation and a comprehensive, competitive, and inclusive benefits package that supports total well-being. We may also consider sponsoring a new qualified applicant for employment authorization for this position.

last updated 44 week of 2026

• Bachelors degree in computer science, AI, electrical engineering, computer engineering, or a related field, plus at least 4 years of experience developing AI/ML algorithms or technologies; alternatively, a relevant masters degree plus at least 2 years of that experience
• At least 4 years of programming experience with Python, Go, Scala, CUDA, or Java
• Preferred: Experience leading AI systems development and making trade-offs among cost, latency, throughput, and accuracy
• Preferred: 6+ years deploying scalable, responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or equivalent private cloud
• Preferred: Experience designing, developing, delivering, and supporting AI services
• Preferred: Experience developing AI/ML algorithms or technologies, such as LLM inference, similarity search, vector databases, guardrails, or memory, using languages such as Python, C++, C#, Java, CUDA, or Go
• Preferred: Experience optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
• Preferred: Experience building agentic AI systems and workflows
• Preferred: Proficiency designing distributed systems for model training, evaluation, and online inference at petabyte scale
• Preferred: Experience defining AI model governance processes, including producibility, lineage tracking, and automated retraining schedules
• Preferred: Ability to influence architectural decisions across multiple AI product lines or platforms
• Strong engineering and mathematical foundations, technical depth across hardware, software, and AI, and an interest in applying current research to production
• Adaptability in ambiguous situations, clear communication, curiosity, resilience, and commitment to responsible, high-quality work

• Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products for our associates and customers
• Design, develop, test, deploy, and support AI components, including foundation model training, LLM inference, agents and multi-agent workflows, similarity search, guardrails, evaluation, experimentation, governance, and observability
• Use open-source and SaaS AI technologies, including AWS Ultraclusters, Hugging Face, vector databases, and PyTorch
• Develop foundation-model optimization techniques that improve production-system scalability, cost, latency, and throughput
• Help shape the technical vision and long-term roadmap for our foundational AI systems
• Own end-to-end architecture for complex AI systems, with attention to maintainability, observability, and ethical alignment
• Define and maintain AI reliability service-level objectives, including latency, uptime, and model-performance drift
• Work with infrastructure engineering to improve GPU/TPU utilization and accelerate model-inference pipelines
• Lead cross-functional technical reviews for AI deployments, ensuring security, data governance, and compliance standards are met
• Mentor Principal and Senior Associates in scalable design, performance tuning, and translating research into production

• Agentic AI
• AI
• AWS
• Azure
• C#
• Cloud
• CUDA
• Hardware
• Support
• Java
• LLM
• Machine Learning
• Model Training
• PyTorch
• Python
• Scala
• Security
• Golang

More:

We are Capital One, where we use machine learning and AI to create personalized customer experiences and make banking simpler. Our Intelligent Foundations and Experiences team works across the company to advance AI science and engineering and deliver proprietary, responsible, scalable platforms used by teams serving millions of customers. This AI Engineer 4 role focuses on Gen AI platform services, including agentic AI, guardrails, and evaluation. The position is available in Cambridge, Massachusetts; McLean, Virginia; New York, New York; San Francisco, California; and San Jose, California. The posted annual salary ranges are $197,300–$225,100 in Cambridge and McLean, and $215,200–$245,600 in New York, San Francisco, and San Jose; pay for other locations varies. The role may also include performance-based incentives and eligibility for our health, financial, and other benefits, which vary by employment status and level. We will consider sponsoring a qualified new applicant for employment authorization. We are an equal opportunity employer and provide consideration in accordance with applicable laws.

last updated 44 week of 2026

• Bachelors degree in computer science, AI, electrical engineering, computer engineering, or a related field and at least 4 years of experience developing AI/ML algorithms or technologies; or a relevant masters degree and at least 2 years of that experience
• At least 4 years of programming experience with Python, Go, Scala, CUDA, or Java
• Experience customizing vision-language models (VLMs)
• Preferred: Experience leading AI systems development and making trade-offs among cost, latency, throughput, and accuracy
• Preferred: 6 years of experience deploying scalable, responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or equivalent private cloud
• Preferred: Experience designing, developing, delivering, and supporting AI services
• Preferred: Experience developing AI/ML algorithms or technologies, such as LLM inference, similarity search, vector databases, guardrails, or memory, using Python, C++, C#, Java, CUDA, or Go
• Preferred: Experience optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
• Preferred: Experience building agentic AI systems and workflows
• Preferred: Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale
• Preferred: Experience defining AI model governance processes, including producibility, lineage tracking, and automated retraining schedules
• Preferred: Ability to influence architectural decisions across multiple AI product lines or platforms
• Strong engineering and mathematical foundations, with the ability to assess research and apply relevant techniques in production
• Adaptability in addressing ambiguous problems, investigating root causes, communicating findings clearly, and proposing new ideas

• Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products for our associates and customers
• Design, develop, test, deploy, and support AI software components, including foundation model training, LLM inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability
• Use open-source and SaaS AI technologies, including AWS Ultraclusters, Hugging Face, vector databases, and PyTorch
• Develop foundation model optimization techniques to improve the scalability, cost, latency, and throughput of large-scale production AI systems
• Help shape our technical vision and long-term roadmap for foundational AI systems
• Own end-to-end architecture for complex AI systems, with attention to maintainability, observability, and ethical alignment
• Define and maintain AI reliability service-level objectives, including latency, uptime, and model performance drift
• Work with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines
• Lead cross-functional technical reviews of AI deployments, ensuring security, data governance, and compliance standards are met
• Mentor Principal and Senior Associates in scalable design, performance tuning, and translating research into production

• Agentic AI
• AI
• AWS
• Azure
• C#
• Cloud
• CUDA
• Hardware
• Support
• Java
• LLM
• Model Training
• PyTorch
• Python
• Scala
• Security
• Golang
• Machine Learning

More:

At Capital One, we build responsible, reliable AI systems to improve banking through personalized customer experiences and scalable AI infrastructure. Our Intelligent Foundations and Experiences team works across the company to advance AI science and engineering and develop proprietary solutions used by teams and customers. This AI Engineer 4 role is available in Cambridge, Massachusetts; McLean, Virginia; New York, New York; and San Jose, California. The listed annual salary ranges are $197,300–$225,100 in Cambridge and McLean, and $215,200–$245,600 in New York and San Jose; pay for other locations varies. The role is also eligible for performance-based incentives. We offer health, financial, and other benefits, with eligibility dependent on employment status and management level. We will consider sponsoring a qualified applicant for employment authorization.

last updated 44 week of 2026

• We require a bachelors degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field, plus at least 6 years of experience developing AI and ML algorithms or technologies; or a masters degree in one of those fields plus at least 4 years of equivalent experience.
• We require at least 6 years of programming experience with Python, Go, Scala, CUDA, or Java.
• We prefer candidates with experience leading AI system development where tradeoffs among cost, latency, throughput, and accuracy must be balanced.
• We prefer 7 years of experience delivering scalable, responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or equivalent private cloud environments.
• We prefer experience designing, building, delivering, and supporting complex AI systems.
• We prefer experience developing AI and ML technologies such as LLM inference, similarity search, vector databases, guardrails, or memory using Python, C++, C#, Java, CUDA, or Golang.
• We prefer experience applying advanced optimization techniques to improve training and inference efficiency, hardware utilization, latency, throughput, and cost.
• We prefer experience building agentic AI systems and agentic workflows.
• We prefer strong communication and presentation skills, with the ability to explain complex AI concepts clearly to peers.
• We prefer experience architecting and integrating heterogeneous AI systems, including rule-based, retrieval-augmented, and generative components, into production pipelines.
• We prefer experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes.
• We prefer demonstrated ability to balance model performance and operating cost through dynamic inference strategies and model compression.
• We prefer experience right-sizing models, instance counts, and hardware types based on requirements such as context length, token inputs, and token outputs.

• We partner with cross-functional engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
• We design, develop, test, deploy, and support AI software components, including foundation model training, large language model inference, agents, multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
• We leverage a broad stack of open-source and SaaS AI technologies such as AWS Ultraclusters, Hugging Face, vector databases, PyTorch, and related tools.
• We invent and introduce state-of-the-art foundation model optimization techniques to improve scalability, cost, latency, and throughput for large-scale production AI systems.
• We contribute to the technical vision and long-term roadmap for foundational AI systems at Capital One.
• We design, implement, and optimize multi-model orchestration pipelines that integrate LLMs, vector search, and domain-specific models into unified systems.
• We establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency.
• We lead design councils or design review boards to ensure technical consistency and adherence to AI engineering standards.
• We mentor Principal- and Manager-level AI engineers, encouraging cross-domain learning and strengthening organizational technical maturity.

• Agentic AI
• AI
• AWS
• Azure
• C#
• Cloud
• CUDA
• Golang
• Hardware
• Support
• Java
• LLM
• Model Training
• PyTorch
• Python
• Scala
• DevOps
• Machine Learning

More:

Capital One is building responsible and reliable AI systems to help transform banking for good. Our Intelligent Foundations and Experiences (IFX) team sits at the center of that vision, partnering across the company to advance science and AI engineering and to build proprietary solutions that support millions of customers. We provide the infrastructure and platforms that enable teams to enhance their products with scalable, high-impact AI. This role is eligible for salary ranges that vary by location, performance-based incentive compensation, and a comprehensive benefits package that supports overall well-being. Capital One also notes that it will consider sponsoring a new qualified applicant for employment authorization for this position.

last updated 44 week of 2026

• We require a bachelors degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related discipline, plus at least 4 years of experience building AI and ML algorithms or technologies, or a masters degree in one of those fields plus at least 2 years of relevant experience.
• We require at least 4 years of programming experience with Python, Go, Scala, CUDA, or Java.
• Preferred experience includes leading AI systems where tradeoffs among cost, latency, throughput, and accuracy are considered.
• Preferred experience includes 6 years of deploying scalable and responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or similar private cloud environments.
• Preferred experience includes designing, developing, delivering, and supporting AI services.
• Preferred experience includes building AI and ML technologies such as LLM inference, similarity search, vector databases, guardrails, or memory systems using Python, C++, C#, Java, CUDA, or Golang.
• Preferred experience includes applying advanced techniques to optimize training and inference software for better hardware utilization, latency, throughput, and cost.
• Preferred experience includes building agentic AI systems and agentic workflows.
• Preferred experience includes staying current with AI research and applying new techniques thoughtfully in production.
• Preferred experience includes designing distributed systems for model training, evaluation, and online inference at petabyte scale.
• Preferred experience includes defining AI model governance processes, including reproducibility, lineage tracking, and automated retention schedules.
• Preferred experience includes influencing architectural decisions across multiple AI product lines or platforms.

• We partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that improve how our associates work and how our customers interact with Capital One.
• We design, build, test, deploy, and support AI software components such as foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
• We use open source and SaaS AI technologies including AWS Ultraclusters, Hugging Face, VectorDBs, PyTorch, and related tools.
• We create and apply advanced foundation model optimization methods to improve scalability, cost, latency, and throughput in large-scale production AI systems.
• We help shape the technical vision and long-term roadmap for foundational AI systems at Capital One.
• We own end-to-end architecture for complex AI systems, with focus on maintainability, observability, and ethical alignment.
• We define and manage service-level objectives for AI reliability, including latency, uptime, and model performance drift.
• We work with infrastructure engineering to improve GPU/TPU utilization and speed up model inference pipelines.
• We lead cross-functional technical reviews for new AI deployments, ensuring security, data governance, and compliance expectations are met.
• We mentor Principal and Senior Associates on scalable design, performance tuning, and translating research into production.

• Agentic AI
• AI
• AWS
• Azure
• C#
• Cloud
• CUDA
• Golang
• Hardware
• Support
• Java
• LLM
• Model Training
• PyTorch
• Python
• Scala
• Security
• Machine Learning

More:

We are Capital One, building responsible and reliable AI systems to change banking for good. Our Intelligent Foundations and Experiences (IFX) team sits at the center of our AI vision, partnering across the company to advance science and AI engineering and to build proprietary solutions that serve millions of customers. We offer a comprehensive, competitive, and inclusive benefits package that supports total well-being, along with performance-based incentives. This role includes salary ranges that vary by location, with listed markets including McLean, Cambridge, New York, San Francisco, and San Jose. We may sponsor a new qualified applicant for employment authorization for this position.

last updated 44 week of 2026

• We require a bachelors degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field plus at least 10 years of experience developing AI and ML algorithms or technologies, or a masters degree in one of those fields plus at least 8 years of experience in that work
• We require at least 10 years of programming experience with Python, Go, Scala, CUDA, or Java
• Preferred experience includes architecting AI platforms with tradeoff decisions around cost, latency, throughput, and accuracy
• Preferred experience includes 9 years of deploying scalable, responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or equivalent private cloud
• Preferred experience includes architecting, designing, developing, integrating, delivering, and supporting complex AI systems
• Preferred experience includes leading and mentoring multiple engineering teams and influencing cross-functional stakeholders up to the SVP level
• Preferred experience includes developing AI and ML technologies such as LLM inference, similarity search, VectorDBs, guardrails, and memory using Python, C++, C#, Java, CUDA, or Golang
• Preferred experience includes applying advanced techniques to optimize training and inference software for better hardware utilization, latency, throughput, and cost
• Preferred experience includes building agentic AI systems and agentic workflows
• Preferred experience includes staying current with the latest AI research and systems and applying new techniques thoughtfully in production
• Preferred experience includes excellent communication and presentation skills with the ability to explain complex AI concepts to peers
• Preferred experience includes recognition as an industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership
• Preferred experience includes designing long-term AI infrastructure strategies while balancing cost, scale, ethics, and regulatory compliance
• Preferred experience includes driving organization-wide adoption of AI safety, alignment, and governance standards in partnership with policy, risk, and legal teams
• Preferred experience includes shaping R&D investment strategy by identifying breakthrough AI capabilities with meaningful business impact
• Preferred experience includes right-sizing models, instance counts, and hardware types based on requirements such as context length, token inputs, and token outputs

• We partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that improve how our associates work and how customers interact with Capital One
• We design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents, multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability
• We use a broad stack of open-source and SaaS AI technologies such as AWS Ultraclusters, Hugging Face, VectorDBs, and PyTorch
• We invent and implement advanced foundation model optimization methods to improve the scalability, cost, latency, and throughput of large-scale production AI systems
• We contribute to the technical vision and long-term roadmap for foundational AI systems at Capital One
• We define and guide the technical AI architecture vision, bringing applied research breakthroughs into production systems with reliability and scale
• We lead the creation of AI performance, safety, and transparency standards that shape model development and deployment across the company
• We drive multi-year platform initiatives that unify data, compute, and model lifecycle management within a cohesive enterprise AI architecture
• We mentor senior technical leaders across research, data, and engineering disciplines and help develop the next generation of our AI technical leadership

• Agentic AI
• AI
• AWS
• Azure
• C#
• Cloud
• CUDA
• Golang
• Hardware
• Support
• Java
• LLM
• Machine Learning
• Model Training
• PyTorch
• Python
• Scala

More:

We are building responsible, reliable AI systems that are changing banking for good. Our Intelligent Foundations and Experiences (IFX) team sits at the center of our AI vision, working closely with partners across the company to advance science and AI engineering and deliver proprietary solutions that create value for millions of customers. We provide a supportive environment with competitive compensation, performance-based incentive opportunities, and a comprehensive benefits package focused on total well-being. This role includes location-based salary ranges for Cambridge, McLean, New York, Richmond, San Francisco, and San Jose, and we may consider sponsorship for a new qualified applicant for employment authorization. We are an equal opportunity employer committed to non-discrimination and a drug-free workplace.

last updated 44 week of 2026

• We require a bachelors degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field plus at least 6 years of experience developing AI and ML algorithms or technologies, or a masters degree in one of those fields plus at least 4 years of experience developing AI and ML algorithms or technologies.
• We require at least 6 years of programming experience with Python, Go, Scala, CUDA, or Java.

• We partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that improve how our associates work and how our customers interact with Capital One.
• We design, develop, test, deploy, and support AI software components, including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
• We work with a broad stack of open-source and SaaS AI technologies such as AWS Ultraclusters, Hugging Face, VectorDBs, PyTorch, and related tools.
• We create and introduce advanced foundation model optimization techniques to improve scalability, cost, latency, throughput, and overall production performance.
• We help shape the technical vision and long-term roadmap for foundational AI systems at Capital One.
• We design, implement, and optimize multi-model orchestration pipelines that unify LLMs, vector search, and domain-specific models.
• We lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency.
• We lead design councils or design review boards to support technical consistency and alignment with AI engineering standards.
• We mentor Principal- and Manager-level AI engineers to strengthen cross-domain learning and raise organizational technical maturity.

• AI
• AWS
• CUDA
• Support
• Java
• Model Training
• PyTorch
• Python
• Scala
• Cloud
• Agentic AI
• Azure
• C#
• Golang
• Hardware
• LLM
• Machine Learning

More:

We are Capital One, building responsible and reliable AI systems to change banking for good. Our Intelligent Foundations and Experiences (IFX) team sits at the center of our AI vision, working across the company to advance science and AI engineering and to build proprietary solutions that deliver value to millions of customers. We offer a comprehensive, competitive, and inclusive benefits package that supports total well-being, along with performance-based incentive compensation. This role is available in multiple locations, including McLean, Cambridge, New York, San Francisco, and San Jose, with salary ranges varying by location.

last updated 44 week of 2026

• Bachelors degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field, plus at least 6 years of experience developing AI/ML algorithms or technologies; or a masters degree in one of these fields plus at least 4 years of relevant experience
• At least 6 years of programming experience with Python, Go, Scala, CUDA, or Java
• Preferred: Experience leading AI systems development and making tradeoffs among cost, latency, throughput, and accuracy
• Preferred: 7 or more years deploying scalable, responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or equivalent private cloud
• Preferred: Experience designing, developing, delivering, and supporting complex AI systems
• Preferred: Experience developing AI/ML technologies such as LLM inference, similarity search, vector databases, guardrails, or memory using Python, C++, C#, Java, CUDA, or Go
• Preferred: Experience optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
• Preferred: Experience building agentic AI systems and workflows
• Preferred: Strong interest in current AI research and applying new techniques judiciously in production
• Preferred: Excellent communication and presentation skills, including the ability to explain complex AI concepts to peers
• Preferred: Experience integrating rule-based, retrieval-augmented, and generative AI components into unified production pipelines
• Preferred: Experience establishing and enforcing ethical AI standards, including explainability, fairness, and human-in-the-loop review
• Preferred: Ability to balance model performance and operating costs through dynamic inference strategies and model compression
• Preferred: Experience selecting appropriate model sizes, instance counts, and hardware for requirements such as context length and input and output token volumes
• Strong engineering and mathematics foundation, technical depth across hardware, software, and AI, and an ability to identify optimization opportunities
• Ability to adapt to ambiguity, investigate root causes, communicate findings clearly, share new ideas, and find paths forward to meet business goals
• Commitment to high-quality work, responsible AI, and staying current with scientific research

• Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products for associates and customers
• Design, develop, test, deploy, and support AI software components, including foundation model training, LLM inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability
• Use open-source and SaaS AI technologies, including AWS Ultraclusters, Hugging Face, vector databases, and PyTorch
• Develop foundation model optimization techniques that improve the scalability, cost, latency, and throughput of production AI systems
• Contribute to the technical vision and long-term roadmap for our foundational AI systems
• Design, implement, and optimize multi-model orchestration pipelines that integrate LLMs, vector search, and domain-specific models
• Lead cost-performance governance reviews, monitoring GPU utilization, model throughput, and inference-cost efficiency
• Lead design councils or review boards to support technical consistency and compliance with AI engineering standards
• Mentor Principal- and Manager-level AI engineers, encouraging cross-domain learning and strengthening organizational technical capabilities

• Agentic AI
• AI
• AWS
• Azure
• C#
• Cloud
• CUDA
• Hardware
• Support
• Java
• LLM
• Machine Learning
• Model Training
• PyTorch
• Python
• Scala
• Golang

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At Capital One, we build responsible, reliable AI systems to improve banking, drawing on our experience in machine learning, technology infrastructure, and applied science. This AI Engineer 5 role is part of our Intelligent Foundations and Experiences team, which partners across the company to advance AI engineering and deliver proprietary, scalable solutions used by teams and customers. We are hiring in Cambridge, Massachusetts; McLean, Virginia; New York, New York; San Francisco, California; and San Jose, California. The listed annual salary ranges are $229,900–$262,400 in Cambridge and McLean, and $250,800–$286,200 in New York, San Francisco, and San Jose; pay ranges vary by work location. The role may also include performance-based incentives and is eligible for our health, financial, and other benefits, with eligibility depending on employment status and level. We will consider sponsoring a qualified new applicant for employment authorization.

last updated 44 week of 2026

• Bachelors degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field and at least 10 years of experience developing AI or ML algorithms or technologies; or a relevant masters degree and at least 8 years of that experience.
• At least 10 years of programming experience with Python, Go, Scala, CUDA, or Java.
• Experience architecting AI platforms and making trade-offs involving cost, latency, throughput, and accuracy.
• At least 9 years of experience deploying scalable, responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or an equivalent private cloud.
• Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems.
• Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders, including at the SVP level.
• Experience developing AI and ML technologies, such as LLM inference, similarity search, vector databases, guardrails, or memory, using languages such as Python, C++, C#, Java, CUDA, or Golang.
• Experience applying advanced training and inference optimization techniques to improve hardware utilization, latency, throughput, and cost.
• Experience building agentic AI systems and workflows.
• Strong interest in current AI research and systems, with the judgment to apply new techniques in production.
• Excellent communication and presentation skills, including the ability to explain complex AI concepts to peers.
• Industry recognition in applied AI or ML infrastructure through patents, publications, or open-source leadership.
• Experience developing long-term AI infrastructure strategies that balance cost, scale, ethics, and regulatory compliance.
• Experience advancing organization-wide AI safety, alignment, and governance standards in collaboration with policy, risk, and legal teams.
• Ability to shape R&D investment strategy by identifying AI capabilities with significant business impact.
• Experience selecting model sizes, instance counts, and hardware types based on requirements such as context length and token volumes.

• Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products for our associates and customers.
• Design, develop, test, deploy, and support AI software components, including foundation-model training, LLM inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
• Use a broad range of open-source and SaaS AI technologies, such as AWS Ultraclusters, Hugging Face, vector databases, and PyTorch.
• Develop advanced foundation-model optimization techniques to improve the scalability, cost, latency, and throughput of production AI systems.
• Help shape the technical vision and long-term roadmap for our foundational AI systems.
• Define and guide our AI architecture, bringing applied research advances into reliable, scalable production environments.
• Establish AI performance, safety, and transparency standards for model development and deployment across the company.
• Lead multi-year platform initiatives that unify data, compute, and model lifecycle management within an enterprise AI architecture.
• Mentor senior technical leaders across research, data, and engineering disciplines.

• Agentic AI
• AI
• AWS
• Azure
• C#
• Cloud
• CUDA
• Golang
• Hardware
• Support
• Java
• LLM
• Machine Learning
• Model Training
• PyTorch
• Python
• Scala