290 jobs found

Job Description W2 only option, we cannot consider 1099 or C2C candidates Role Overview We are looking for an ETL Developer who is passionate about data integration, healthcare data transformation, and building reliable data pipelines that support client implementations. In this role, you will design, develop, and maintain ETL processes that move and transform data between client systems and our healthcare platform. This is a hands-on individual contributor role. You will work closely with implementation consultants, product teams, and client stakeholders to ensure data is delivered accurately, securely, and on schedule. If you enjoy solving complex data challenges, have strong SQL and ETL skills, and want to help healthcare organizations improve operational outcomes through technology, this role is a great fit. What You'll Do Data Integration & ETL Development Design, develop, and maintain ETL workflows to support new client implementations and ongoing production operations. Build scalable processes for extracting, transforming, validating, and loading healthcare data. Create reusable components and mapping frameworks that improve implementation efficiency. Troubleshoot and resolve data integration issues across multiple client environments. Data Quality & Validation Analyze source data and identify data quality concerns proactively. Implement validation rules and reconciliation processes to ensure data accuracy and completeness. Perform root cause analysis on data discrepancies and provide resolution recommendations. Collaborate with QA and implementation teams to support testing activities. Client Implementations Work directly with implementation teams to understand client-specific business and data requirements. Translate business mapping documents into technical ETL specifications. Support go-live activities and post-implementation stabilization efforts. Provide technical guidance during data conversion and migration activities. Collaboration & Continuous Improvement Partner with application developers, database administrators, and project teams throughout implementation projects. Participate in design reviews and technical discussions. Contribute to documentation, standards, and best practices. Identify opportunities to improve automation, monitoring, and operational efficiency. What You Will Bring ETL & Data Integration Foundations (Must Have) Strong hands-on experience developing ETL processes using enterprise ETL tools or custom frameworks. Advanced SQL skills with experience querying, transforming, and validating large datasets. Experience working with relational databases such as SQL Server, PostgreSQL, Oracle, or MySQL. Understanding of data mapping, transformation logic, and reconciliation processes. Data Management Skills (Must Have) Experience analyzing and troubleshooting complex data issues. Knowledge of data warehousing concepts and dimensional modeling. Ability to optimize ETL jobs for performance and scalability. Healthcare Data Experience (Preferred) Experience with healthcare data standards such as HL7, FHIR, EDI, or claims data. Familiarity with member, provider, clinical, or care management datasets. Understanding of HIPAA and healthcare data security requirements. Communication & Collaboration Strong verbal and written communication skills. Ability to explain technical concepts to non-technical stakeholders. Strong problem-solving and analytical thinking skills. Proven ability to manage multiple priorities in a client-facing environment. Engineering Ecosystem (Good to Have) Experience with Azure Data Factory, SSIS, Informatica, Talend, or similar tools. Exposure to cloud-based data platforms. Familiarity with CI/CD practices and source control tools such as Git. Qualifications B.E. / B.Tech / M.Tech in Computer Science, Information Technology, Engineering, or related discipline. 5+ years of ETL development and data integration experience. Experience supporting enterprise software implementations preferred. Primary Technologies ETL Tools : SSIS, Azure Data Factory, Informatica, Talend, or equivalent Databases : SQL Server, PostgreSQL, Oracle, MySQL Data Formats : CSV, XML, JSON APIs & Integration: REST APIs, Web Services Source Control : Git, Azure DevOps Healthcare Standards (Preferred): HL7, FHIR, EDI

JOB SUMMARY: NORC at the University of Chicago is seeking a qualified Data Scientist I to join the Methodology and Quantitative Social Sciences department and support innovative research and analytics. The Data Scientist I works collaboratively with methodologists, researchers, statisticians, software developers, and subject matter experts throughout the research lifecycle, including study design, data collection, quality assessment, quantitative analysis, and dissemination of results. This role combines strong foundations in data management, research methodology, and computational social science to develop methodological and data science solutions that improve research, operational efficiency, and decision-making. The Data Scientist I will contribute to projects involving structured and unstructured data, survey data, administrative records, commercial data, text data, and other novel data sources. Responsibilities may include developing data pipelines, implementing data management approaches, maintaining analytical workflows, conducting analysis and creating data visualizations, and assisting in the writing and dissemination of results. The ideal candidate possesses strong social science research and data expertise, written and communication skills, R programming expertise, experience building reproducible analytical workflows, and an interest in applying advanced methods to solve complex research and business problems. Data Scientists are expected to manage multiple assignments, contribute to projects and proposals, stay current with emerging analytic tools, and work effectively in a collaborative, interdisciplinary environment. Location: This is a hybrid role based in our Chicago Loop office, with a minimum of six days per month in the office. Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position. DEPARTMENT: Methodology and Quantitative Social Sciences (MQSS) The Methodology and Quantitative Social Sciences (MQSS) department implements state-of-the-art methodologies and develops innovations to deliver reliable data and rigorous analysis to guide critical programmatic, business and policy decisions for NORC clients. The department provides leadership throughout the project lifecycle on study design, data collection, assessment of data quality, quantitative analysis, and dissemination of results. The Methodological and Quantitative Social Sciences department also conducts its own research and is a leader in designing and implementing rigorous, efficient methods for gathering, evaluating, and analyzing data from primary and secondary sources. The department provides expertise and leads NORC strategy on the use of a broad range of methods and techniques, including research and experimental design, recruitment and retention, instrument design and testing, assessing data quality, evaluating measurement properties of new measures, causal inference methods, machine learning, analysis of clustered data, data visualization, use of novel data sources and technologies to improve data gathering, and building AI solutions that support NORC's research. The department collaborates with the Statistics and Data Science Department on areas of synergy and intersection and with all NORC subject matter departments, in addition to leading its own projects. RESPONSIBILITIES: Apply computational and machine learning methods to support survey research, evaluation studies, and other social science research initiatives Contribute to and review the methodological/analytical sections of reports, tables/graphics, presentations, dashboards, and other deliverables Assist with proposal and business development activities related to methodological, analytic, and/or study design tasks. Establish reproducible, quality assured analytic workflows; implement version control (Git), environment management, peer code review, automated testing, and validation checks. Develop robust data pipelines that integrate, transform, and analyze structured and unstructured data from multiple sources to support research and operational objectives. Design and implement data products, dashboards, applications, and automated tools that enable data-driven decision making. Write and implement R programs to extract/manipulate data, link complex datasets, and execute machine learning and statistical analyses. Present research papers at professional conferences and submit articles for publication in journals. Work with relational databases, cloud platforms, and large-scale computing environments to manage and analyze complex datasets efficiently. Uphold data disclosure limitation and data privacy best practices. Perform other duties as assigned. REQUIRED SKILLS: Bachelor's degree in computational social science, data science, computer science or a related quantitative field with social science emphasis. At least 4 years of relevant experience (graduate research, internships, and applied professional experience may be considered). Demonstrated proficiency developing production-quality code in R. Strong foundation in areas of social science research, analytic methods, data engineering, machine learning, and scientific methods of inquiry. Must be detail-oriented and quality-focused, with demonstrated written and oral communication skills Strong interpersonal communication, analytic capability, technical writing, problem identification and resolution, and task management Ability to work on multiple projects simultaneously, effectively organize and manage time, including ability to set priorities to meet all project, proposal, and administrative needs in a timely fashion Experience developing software, data pipelines, or analytical applications. Experience conducting statistical analysis and machine learning using real-world datasets. Experience working with Git and collaborative development workflows. Enthusiasm for teamwork and collaboration across disciplinary boundaries. Preferred Skills: Demonstrated experience programming in Python Experience analyzing survey, administrative, or other large-scale observational datasets, and/or working with longitudinal survey data. Experience with interactive data visualization and mapping libraries such as R Shiny, D3.js or other JavaScript data visualization libraries and HTML/CSS. Experience with large-scale data platforms such as Databricks, Spark, Hadoop, or Hive. Experience developing, evaluating, or deploying machine learning and AI solutions, including work with large language models, and cloud environments (e.g., AWS, Azure, GCP). SALARY AND BENEFITS: The pay range for this position is $90,000-$100,000. This position is classified as regular. Regular staff are eligible for NORC's comprehensive benefits program. Benefits include, but are not limited to: Generously subsidized health insurance, effective on the first day of employment Dental and vision insurance A defined contribution retirement program, along with a separate voluntary 403(b) retirement program Group life insurance, long-term and short-term disability insurance Benefits that promote work/life balance, including generous paid time off, holidays; paid parental leave, bereavement leave, tuition assistance, and an Employee Assistance Program (EAP). NORC is committed to equity and transparency in its pay practices. We publish salary ranges and benefit information for every job. The listed hiring range reflects what we, in good faith, expect to pay at the time of posting, though actual compensation may vary and may be adjusted over time. A candidate's placement within the range depends on factors such as competencies, education, qualifications, experience, skills, performance, and organizational needs. WHAT WE DO: NORC at the University of Chicago is an objective, non-partisan research institution that delivers reliable data and rigorous analysis to guide critical programmatic, business, and policy decisions. Since 1941, our teams have conducted groundbreaking studies, created and applied innovative methods and tools, and advanced principles of scientific integrity and collaboration. Today, government, corporate, and nonprofit clients around the world partner with us to transform increasingly complex information into useful knowledge. WHO WE ARE: For over 80 years, NORC has evolved in many ways, moving the needle with research methods, technical applications and groundbreaking research findings. But our tradition of excellence, passion for innovation, and commitment to collegiality have remained constant components of who we are as a brand, and who each of us is as a member of the NORC team. With world-class benefits, a business casual environment, and an emphasis on continuous learning, NORC is a place where people join for the stellar research and analysis work for which we're known, and stay for the relationships they form with their colleagues who take pride in the impact their work is making on a global scale. EEO STATEMENT: NORC is an equal opportunity employer. NORC evaluates qualified applicants without regard to race, color, religion, sex, gender, national origin, disability, status as a protected veteran, sexual orientation, and other legally protected characteristics.

Genesis10 is currently seeking a Principal Data Lead for a remote or hybrid position with a Financial Services Consulting Firm located in Scottsdale, AZ or Raleigh, NC. This is a contract-to-hire opportunity. Compensation: $150.00 - $160.00 per hour, W2, based on qualifications Position Overview: This is a hands-on Lead Solutions Architect role for a candidate who designs, builds, and leads. As a working architect, you will spend a significant share of your time in the platforms themselves, configuring and extending Dynamics 365 Project Operations and Finance & Operations, modeling data in Dataverse and the Enterprise Data Warehouse, writing and reviewing transformation code, and tuning Power BI semantic models. You will lead a team of developers, data engineers, and analysts, setting the technical direction and owning design standards. Key Responsibilities: Serve as the lead technical architect for Dynamics 365 Project Operations, Finance & Operations and Dataverse, owning the end-to-end solution design Personally design and build data models, entities, integrations, workflows and extensions, and resolve complex configuration, performance and data issues Design and implement integrations between Dynamics 365, the Data Warehouse and other enterprise systems using Dataverse, Azure Data Factory, Fabric pipelines, APIs and the Power Platform Review and approve customizations, extensions and ALM practices (solution layering, source control, environment strategy and deployment pipelines) Translate business processes in finance, project delivery and operations into sound, maintainable system designs Own the architecture of the Enterprise Data Warehouse and Microsoft Fabric environment, including lakehouse and warehouse layers, dimensional models and data marts Build and review ingestion and transformation pipelines, SQL, notebooks and stored procedures Design dimensional and semantic models (facts, dimensions, conformed dimensions, slowly changing dimensions) that serve Power BI and AI workloads consistently Architect Power BI semantic models, dataflows, row-level security and deployment pipelines, and set performance and reuse standards for reports and dashboards Establish and maintain end-to-end data lineage from source systems through to Power BI reports and AI models Define, document and enforce design standards including naming conventions, modeling patterns, and coding standards Lead, hire, coach and develop a team of Dynamics developers, data engineers and BI developers Design the data foundations that AI and machine learning solutions depend on, ensuring governed, well-lineaged and high-quality data feeds Primary Requirements: Bachelor's degree in Computer Science, Information Systems, Data Engineering, Software Engineering or a related field 8+ years of hands-on experience in solution, data or analytics architecture, including recent, direct build experience (not solely oversight) Deep hands-on experience with Dynamics 365 Finance & Operations and/or Project Operations, Dataverse and the Power Platform Strong hands-on expertise in data warehouse design and engineering: dimensional modeling, SQL, ETL/ELT pipelines, and Microsoft Fabric or Azure Synapse/SQL Demonstrated experience implementing and maintaining data lineage, metadata management and source-to-target documentation Proven track record of defining and enforcing design and coding standards through design reviews and code reviews 3+ years of experience directly managing technical staff, including hiring, coaching and performance management Advanced Power BI skills, including semantic modeling, DAX, row-level security and deployment pipelines Desired Skills: Microsoft certifications such as Dynamics 365 Finance and Operations Apps Solution Architect Expert, Fabric Analytics Engineer Associate or Azure Data Engineer Associate Experience with Microsoft Purview or other data catalog and lineage tools Experience in a professional services or project-based business Exposure to AI and machine learning data pipelines and responsible AI governance Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years Access to an experienced, caring recruiting team (more than 7 years of experience, on average) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all of our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Pay Range: $45.00hr - $50.00hr Job Overview: The candidate will serve as a Senior Front-End Developer responsible for building complex 3D interactive applications using modern React, Three.js, and React Three Fiber. The role focuses on real-time performance optimization, scalable state management, and accessible user interfaces for interactive platforms. Front-End Engineering Foundations: Demonstrate deep, senior-level expertise in React (React 19 and modern React), including the render model, hooks discipline, memoization, effect timing, and performance optimization for frame-based applications. Utilize Three.js and React Three Fiber in production environments with strong command over the scene graph, geometry, materials, the useFrame render loop, and proper memory/WebGL leak management. Apply real-time performance discipline by accounting for frame budgets, profiling render loops, understanding GPU vs. CPU trade-offs, and optimizing for lower-spec target devices. Manage application state at scale using Zustand to maintain a clean, coherent architecture. Implement accessibility as a core requirement, including full keyboard navigation, focus management, ARIA standards, WCAG AA compliance, and screen-reader testing. Utilize TypeScript, Vite, and modern testing strategies that favor validating real application behavior over excessive mocking. Responsibilities: Build and own complex React Three Fiber features, including interactive 3D equipment, selection-driven action systems, real-time visual effects, and supporting UI components. Profile and tune the render loop to maintain frame rate performance on lower-end devices. Maintain coherent application state across simulation elements, equipment, event logs, and UI components using Zustand. Ensure full accessibility compliance through keyboard operation, screen-reader compatibility, and ARIA standards. Direct AI coding tools effectively by breaking down work into well-specified tasks, reviewing generated output, and writing custom logic when required. Help maintain repository structure and coding guidelines to keep codebase contributions consistent and secure. Collaborate with the 3D technical artist to integrate assets and shaders efficiently. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Job Description W2 only role, we cannot accept 1099 or C2C candidates Role Overview We are looking for an API Developer who is passionate about designing and building secure, scalable integration solutions for healthcare clients. In this role, you will develop, enhance, and support APIs that enable seamless communication between our healthcare platform and client systems. This is a hands-on individual contributor role focused on integration development, API design, and interoperability. You will work closely with product teams, implementation consultants, and client technical teams to deliver reliable integration solutions. If you enjoy building modern service-based architectures, solving complex integration challenges, and enabling data exchange across healthcare ecosystems, this role is a strong fit. What You'll Do API Development & Integration Design, develop, and maintain RESTful APIs and integration services. Build reliable interfaces that connect client systems with our healthcare platform. Develop reusable integration components and service frameworks. Implement scalable and secure API solutions following established standards. Client Integration Delivery Participate in client implementation projects and integration planning sessions. Translate business and technical requirements into API specifications and integration designs. Collaborate with client technical teams during onboarding and deployment activities. Support testing, validation, and production deployments. Performance, Security & Reliability Ensure APIs meet performance, scalability, and security requirements. Troubleshoot and resolve issues across distributed systems. Implement monitoring, logging, and error-handling capabilities Contribute to secure development practices and healthcare compliance standards. Collaboration & Continuous Improvement Work closely with product managers, architects, implementation consultants, and QA teams. Participate in code reviews and design discussions. Create and maintain technical documentation and API specifications. Recommend improvements to platform integration capabilities and development processes. What You Will Bring API Development Foundations (Must Have) Strong hands-on experience building RESTful APIs and web services. Proficiency in C#, .NET, Java, Node.js, or similar modern backend technologies. Experience with JSON, XML, and API integration patterns. Understanding of service-oriented and microservices architectures. Cloud & Integration Skills (Must Have) Experience integrating internal and third-party systems. Knowledge of authentication and authorization mechanisms including OAuth 2.0, OpenID Connect, and JWT. Experience with API documentation tools such as Swagger/OpenAPI. Familiarity with message-based integrations and asynchronous processing concepts. Healthcare Technology Experience (Preferred) Experience integrating healthcare applications and platforms. Familiarity with FHIR, HL7, EDI, or healthcare interoperability standards. Understanding of HIPAA-regulated environments and data security controls. Communication & Collaboration Strong debugging, analytical, and problem-solving skills. Ability to work cross-functionally with technical and business stakeholders. Strong written and verbal communication skills. Ownership mindset with a focus on quality and reliability. Engineering Ecosystem (Good to Have) Experience with Azure, AWS, or cloud-native development. Familiarity with Docker, Kubernetes, or containerized deployments. Experience with CI/CD pipelines and DevOps practices. Knowledge of event-driven architectures and message brokers. Qualifications B.E. / B.Tech / M.Tech in Computer Science, Information Technology, Engineering, or related discipline. 5+ years of backend development and API integration experience. Experience supporting enterprise SaaS platforms preferred. Primary Technologies Languages : C#, .NET, Java, Node.js, or equivalent API Technologies : REST, JSON, OpenAPI/Swagger Authentication: OAuth 2.0, JWT, OpenID Connect Databases: SQL Server, PostgreSQL, Oracle Cloud Platforms: Azure (Strongly preferred), AWS DevOps: Git, Azure DevOps, GitHub Actions Healthcare Standards (Preferred): FHIR, HL7, EDI

Job Description Job Description Salary Ranges: Application Developer Level 2: $84,255 (min) - $ 134,808 (max) Application Developer Level 3: $97,536 (min) - $ 156,057 (max) The Application Developer designs, develops, implements, and supports secure, scalable, and reliable business applications, integrations, and automation solutions that advance N3B's mission and operational objectives. This position collaborates closely with business stakeholders, information technology personnel, cybersecurity teams, and external partners to deliver innovative software solutions utilizing modern Microsoft, cloud, database, and enterprise application technologies. The Application Developer is responsible for the full software development lifecycle, including requirements analysis, architecture, development, testing, deployment, maintenance, and continuous improvement. The position leverages modern development practices, AI-assisted productivity tools, DevSecOps methodologies, and cloud technologies while adhering to cybersecurity, accessibility, and regulatory requirements. MAJOR DUTIES & RESPONSIBILITIES: Include, but are not limited to: Application Development and Architecture • Design, develop, test, deploy, and maintain enterprise applications and services using C#, .NET, ASP.NET Core, Entity Framework Core, and related technologies. • Design and develop RESTful APIs, web services, and system integrations. • Participate in solution architecture, technical design reviews, and technology evaluations. • Create scalable, maintainable, and reusable software components following established design patterns and architectural standards. • Translate business requirements into technical specifications and software solutions. Artificial Intelligence and Emerging Technologies • Utilize approved AI-assisted development tools to enhance software development, testing, troubleshooting, documentation, code analysis, and productivity. • Evaluate AI-generated code, recommendations, and outputs for accuracy, security, maintainability, and compliance. • Identify opportunities to responsibly integrate artificial intelligence, machine learning, automation, and intelligent business solutions into organizational processes. • Stay informed of emerging AI technologies and industry best practices while ensuring compliance with corporate, DOE, and cybersecurity requirements. Microsoft 365 and Power Platform Solutions • Design and support Microsoft 365-based solutions utilizing SharePoint Online, Power Apps, Power Automate, Microsoft Dataverse, and Power BI. • Develop automated workflows, dashboards, reports, and business process solutions that improve organizational efficiency. • Support Power Platform governance, lifecycle management, security, and application administration. • Integrate Microsoft 365 solutions with internal and external systems using APIs and connectors. Cloud and Enterprise Platform Development • Develop and support cloud-enabled solutions using Microsoft Azure and other approved cloud platforms. • Utilize Azure services such as App Services, Azure Functions, Logic Apps, Azure SQL, and Microsoft Entra ID where applicable. • Support hybrid integrations between on-premises and cloud-based systems. • Assist with cloud modernization initiatives and technology innovation efforts. Security, Accessibility, and Quality Assurance • Incorporate secure coding practices throughout the development lifecycle. • Conduct code reviews, security reviews, and peer reviews. • Develop and maintain automated unit tests, integration tests, and regression tests. • Resolve security vulnerabilities and application defects in a timely manner. DevSecOps and Software Lifecycle Managemen t • Utilize Azure DevOps, Git, and CI/CD pipelines to support modern software delivery practices. • Support application release management, change management, and deployment activities. • Maintain technical documentation, configuration records, and operational procedures. Collaboration and Customer Engagement • Collaborate with business stakeholders to gather requirements, define solutions, and deliver business value. • Communicate effectively with technical and non-technical audiences. • Participate in technical briefings, project meetings, and customer engagements. • Provide technical guidance and knowledge sharing within project teams. Compliance and Cybersecurity • Adhere to company cybersecurity policies, DOE directives, NIST frameworks, and regulatory requirements. • Support audits, assessments, risk management activities, and compliance initiatives. • Coordinate with cybersecurity personnel to ensure applications meet security requirements. • Protect confidential, sensitive, and personally identifiable information (PII). Safety, Security, and Quality • Protect the confidentiality, integrity, and availability of information systems and data. • Maintain required safety, security, and operational training. • Ensure procedural and regulatory compliance. • Make safety, security, and quality integral to every task performed. • Exercise stop-work authority when conditions are unsafe or when security, quality, or compliance could be compromised. • Performs related duties as assigned. EDUCATION & EXPERIENCE: The career level of the position will be determined by the years of relevant experience, knowledge, skills, and abilities; after a candidate has been chosen. Level 2: Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical discipline, or a closely related field; and at least three (3) years of relevant experience. Level 3: Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical discipline, or a closely related field; and at least five (5) years of relevant experience. PREFERRED QUALIFICATIONS: • Experience working within the Department of Energy community or other government setting • Experience developing cloud-native or cloud-hosted applications in Microsoft Azure. • Experience with SharePoint Online administration and development. • Experience implementing DevSecOps and CI/CD best practices. • Experience with Microsoft Power Platform governance and enterprise deployment. • Experience with React, Angular, or modern front-end frameworks. • Familiarity with containerization technologies such as Docker and Kubernetes. • AWS Cloud Practitioner, Microsoft Azure Fundamentals, Azure Developer Associate, CompTIA Project+, CompTIA A+, Security+, or ITIL Foundations certifications. • Active DOE Q Clearance or the ability to obtain and maintain one. KNOWLEDGE, SKILL, & ABILITY: • Working knowledge of DOE Order 426.2; and other guidance for training and qualifications records especially those impacting nuclear facilities and activities. • Working knowledge of AI-assisted development tools, such as GitHub Copilot, Microsoft Copilot, ChatGPT Enterprise, or similar technologies, and their professional applications. • Skill in developing effective prompts and applying responsible AI practices. • Ability to evaluate AI-generated software artifacts for security, accuracy, maintainability, and compliance. • Working knowledge of AI governance, ethical principles, and data protection requirements. • Working knowledge of machine learning, generative AI, automation technologies, or intelligent document processing preferred. • Excellent communication skills to effectively convey thoughts clearly and concisely, both verbally and in writing to diverse audiences. • Effective interpersonal skills with ability to work/interact effectively and amicably with people from diverse backgrounds and cultures and with diverse personal attributes. • Ability to train and mentor junior staff to higher levels of performance. • Level of language skills, mathematical skills, communication skills, reasoning ability and computer skills necessary to perform essential functions of the job. WORKING CONDITIONS & PHYSICAL REQUIREMENTS: • Ability to perform essential job functions with or without reasonable accommodation. • Regularly required to sit, stand, walk, and occasionally climb, bend, stoop, kneel, crouch, and reach. • Frequently lifts up to 10 pounds; occasionally up to 20 pounds. • Requires close, distance, color, and depth vision, and ability to adjust focus. • Requires ability to hear and communicate effectively in person, virtually, and by phone. • Individuals must be able to perform the essential functions of the job with or without reasonable accommodation. ADDITIONAL QUALIFICATIONS: • Maintains required safety, security and operational training; assure procedural and regulatory compliance; make safety, security and quality an integral part of every task; including stopping work if job is unsafe or compromises security. • This position will ensure all activities and operations are performed in a safe and deliberate manner to include protecting the confidentiality and integrity of Personally Identifiable Information (PII).

Job Description Strativ is partnering with a fast-growing, venture-backed defence technology company building AI-driven autonomous systems used in operations around the world. They're hiring a Senior Site Infrastructure Engineer to join their Cloud & Infrastructure team and own the physical foundations behind a rapidly expanding global footprint. You'll plan, design and document physical IT infrastructure across offices, engineering labs, manufacturing facilities and data centres. That means rack layouts, structured cabling, power and cooling, MDF/IDF design and DCIM, with new site buildouts, expansions and data centre deployments in the pipeline. What you'll be doing: • Leading new site buildouts, office expansions and relocations, data centre deployments and hardware refreshes • Designing rack layouts, MDF/IDF requirements, equipment placement plans and infrastructure BOMs • Maintaining rack elevations, connectivity diagrams, cabling records and DCIM data across every environment • Capacity planning for rack space, power, cooling, cabling and equipment growth • Administering and improving DCIM/IPAM/CMDB platforms (e.g. Nautobot, NetBox, Device42) • Setting documentation and labelling standards that stay accurate throughout the infrastructure lifecycle • Reviewing floor plans, low-voltage drawings, vendor designs and SOWs • Managing circuit inventory and lifecycle, including renewals, upgrades, relocations and carrier coordination • Working with architects, contractors, colos, carriers and OEMs, alongside internal Network, Systems and Cloud teams • Guiding junior engineers and support staff What they're looking for: • 5+ years in data centre, enterprise site or physical IT infrastructure engineering • Strong rack design, structured copper/fibre cabling and physical infrastructure documentation skills • Solid knowledge of power and cooling: A/B power, UPS/PDU, circuit capacity, redundancy and airflow • Experience designing MDF/IDF environments and sizing infrastructure for new or growing sites • Hands-on experience with DCIM/IPAM/CMDB tools (Nautobot, NetBox, Device42, Sunbird or similar) • Working understanding of enterprise networking, including switching, wireless, WAN and carrier services • Ability to read architectural drawings, floor plans and low-voltage designs • Comfortable running projects independently from planning to deployment, with periodic travel to sites Nice to have: • Greenfield builds, data centre migrations or experience in fast-growing, multi-site organisations • Familiarity with AWS/Azure hybrid connectivity • Kit from Juniper, Cisco, Palo Alto, Dell, APC or Vertiv • Scripting or API automation for DCIM workflows • Background in aerospace, defence, manufacturing or other regulated environments • Certifications such as BICSI, CDCP or CCNA/CCNP Seattle, WA, on-site with periodic travel to sites and data centres $140,000-$210,000 base + bonus + benefits + equity

Job Description Company Description TechSur Solutions is a digital services company whose mission is to enable digital transformation for our customers to improve quality and efficiency. Based in the DC metropolitan area, TechSur specializes in advanced cloud services, modernization for both IT structures and applications, leveraging Agile development, and Data Analytics. Since we were formed in August of 2016, we have supported multiple impactful and exciting government programs. Job Description TechSur is seeking a Senior Cloud Engineer who is fluent in both Google Cloud Platform (GCP) and Oracle Cloud Infrastructure (OCI). You will be the program's go-to engineer for both platforms, splitting your time roughly evenly between them. You will build GCP and OCI foundations that match the same enterprise standards the team applies on AWS and Azure. On GCP, you will establish the organization and folder hierarchy, Shared VPC networking, and organization policies. On OCI, you will build tenancies, compartments, VCN/DRG networking, and Security Zones. On both, you will automate with Infrastructure-as-Code, integrate with the customer's identity, monitoring, and service management tools, and support the platforms in production. Key Responsibilities Design and deploy GCP landing zones: resource hierarchy (organization, folders, projects), Shared VPC hub-and-spoke networking, Cloud Interconnect or HA VPN, and Cloud DNS. Design and deploy OCI landing zones: tenancy and compartment structure, VCN and Dynamic Routing Gateway (DRG) hub-and-spoke networking, FastConnect or IPsec VPN, and DNS. Build and maintain Terraform modules (including OCI Resource Manager) and GitOps workflows for production, integration, development, and sandbox environments on both platforms. Configure IAM and federation with the customer's enterprise identity provider using SAML 2.0 and OIDC, aligned with Zero Trust principles. Enforce guardrails with GCP Organization Policy and Security Command Center, and with OCI Cloud Guard and Security Zones, against NIST SP 800-53 Rev 5 and customer security standards. Apply the enterprise tagging and labeling strategy for asset management and chargeback/showback using GCP Billing Reports and OCI Cost Analysis. Monitor environments with Google Cloud Operations Suite and OCI Monitoring, integrated with Datadog, Splunk, and ServiceNow. Perform patching, routine maintenance, capacity planning, and rightsizing; troubleshoot and resolve incidents as part of 24/7 operations support. Design and test high availability, backup, and disaster recovery on both platforms. Write runbooks and SOPs, supply ATO evidence, and transfer knowledge to customer operations staff. Qualifications Required Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. At least 9 years of experience deploying and configuring cloud environments. Hands-on production experience with both Google Cloud Platform and Oracle Cloud Infrastructure. Production experience with Infrastructure-as-Code using Terraform on GCP and OCI. Experience with cloud network design, including private connectivity (Cloud Interconnect, FastConnect, or IPsec VPN), routing, and DNS. Experience implementing IAM and single sign-on federation (SAML 2.0/OIDC). Working knowledge of NIST SP 800-53 security controls in a federal environment. Ability to obtain and maintain the background investigation required by the federal customer. Preferred Qualifications Google Cloud Certified Professional Cloud Architect or Professional Cloud Security Engineer. Oracle Cloud Infrastructure Architect Professional or OCI Multicloud Architect Professional. Experience hosting Oracle Database workloads on OCI (Autonomous Database, Exadata Cloud Service, Base Database Service). Experience with GCP Assured Workloads, OCI US Government regions, or FedRAMP Moderate/High environments. Experience with GCP Cloud Build/Cloud Deploy or OCI DevOps pipelines. Working knowledge of AWS or Azure. Prior support of a civilian federal agency.

AI Engineer 3 (AI Foundations) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of 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. 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, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Lead development and benchmarking of multi-turn conversational and tool-using agent workflows, ensuring measurable performance and safety metrics Implement scalable pipelines for training, fine-tuning and deploying foundation or domain-specific models across multiple environments Collaborate with research and data engineering teams to curate high-quality datasets and improve model evaluation methodologies Contribute to governance and security efforts for model traceability, lineage documentation, and version control of deployed AI assets Mentor junior AI engineers and advocate for engineering excellence, reproducibility, and responsible experimentation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies At least 3 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience contributing to development of components of AI systems with tradeoff decisions around cost, latency, throughput and accuracy 4+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Demonstrated ability to evaluate and optimize LLM performance using quantitative metrics (accuracy, coherence, latency, cost) Hands-on experience implementing retrieval-augmented generation (RAG), vector database integrations, and fine-tuning workflows Experience applying prompt-engineering strategies, safety guardrails, and red-teaming methodologies to production AI systems Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. R AI Engineer 3 (AI Foundations) The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $161,800 - $184,600 for AI Engineer 3 New York, NY: $176,500 - $201,400 for AI Engineer 3 San Jose, CA: $176,500 - $201,400 for AI Engineer 3 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 3 (AI Foundations) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of 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. 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, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Lead development and benchmarking of multi-turn conversational and tool-using agent workflows, ensuring measurable performance and safety metrics Implement scalable pipelines for training, fine-tuning and deploying foundation or domain-specific models across multiple environments Collaborate with research and data engineering teams to curate high-quality datasets and improve model evaluation methodologies Contribute to governance and security efforts for model traceability, lineage documentation, and version control of deployed AI assets Mentor junior AI engineers and advocate for engineering excellence, reproducibility, and responsible experimentation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies At least 3 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience contributing to development of components of AI systems with tradeoff decisions around cost, latency, throughput and accuracy 4+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Demonstrated ability to evaluate and optimize LLM performance using quantitative metrics (accuracy, coherence, latency, cost) Hands-on experience implementing retrieval-augmented generation (RAG), vector database integrations, and fine-tuning workflows Experience applying prompt-engineering strategies, safety guardrails, and red-teaming methodologies to production AI systems Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. R AI Engineer 3 (AI Foundations) The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $161,800 - $184,600 for AI Engineer 3 New York, NY: $176,500 - $201,400 for AI Engineer 3 San Jose, CA: $176,500 - $201,400 for AI Engineer 3 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Job Description Edgewater Federal Solutions is currently seeking a Data Center Technician II to provide support to our Federal Client located in Pocatello, ID. You will be responsible for the installation of various types of Information Technology (IT) hardware devices and cabling in a data center environment. This position requires the intermediate knowledge of data center hardware and systems to include the ability to interpret the manufacturer's guides for installation into data center racks, the understanding of space, power, and cooling requirements, as well as mounting hardware specifications. This requires an active TOP SECRET clearance and is onsite in Pocatello, ID. Qualifications: Minimum 3 years of of data center hardware and cable installation experience Possess knowledge of National Standards as pertaining to Data Center IT infrastructure including Building Industry Consulting Service International (BICSI), Telecommunications Industry Association TIA-606 and TIA-942. Knowledge of (BICSI) Installer 2 for both Copper (INSTC) and Fiber (INSTF) Industry foundational technology certification (such as CompTIA Server+, CompTIA A+, CompTIA Network+, Schneider Electric DCCA, EPI CDCE), or vendor-specific technician level certification (such as Cisco Certified Technician, Dell PowerEdge Foundations), or higher required within 6 months after hire date An associate degree or vocational degree in Information Technology Systems is preferred. Must be a U.S. Citizen Active Top-Secret Clearance. Must be willing to sit for a CI Poly after being hired. Responsibilities: Evaluate Data Center infrastructure requirements (rack space, network, power, cabling, etc.) and coordinating necessary resources to prepare space for the installation of equipment. Coordinate necessary facilities resources such as electric and cooling for specialized equipment such as high voltage storage area networks and large servers requiring redundant power. Provision the cabling, floor cut outs, and rack rails and mounting hardware for the installation of IT devices and systems such as servers, switches, routers, power cables, fiber and copper cables, power distribution units, and keyboard, video, and mouse (KVM) components. Perform end to end installation of patch cables both fiber and copper as well as management cabling and cross connect cabling. Perform troubleshooting assistance such as rebooting, visual check of system indicator lights, and perform the replacement of suspected failed installation components (fiber, cables, connectors, iDRAC, power distribution units) in conjunction with the systems engineers to enable the system to return to an operational state. Follow labeling standards and collect, track, and update all configuration changes and inventory information in an Excel spreadsheet, SharePoint, or data center information system. Adhere to all data center safety rules and policy as well as installation standards. Perform other duties as required such as un-crating and unboxing large numbers of system and pallets of gear and subsequent removal of refuse to keep data center clear of all walkway hazards. Proficiency in ability to generate interpret wiring and cabling diagrams in Visio and CADD. Proficiency in Microsoft Office (Project, Excel, Word, etc.). Monitors data center IT and environmental systems for failures and coordinates with vendors or repair technicians for repairs or replacements. Assist the FBI in developing, managing, sustaining, and using a tracking database and scanning gun for hardware inventory control, including IT and system equipment, warranty status, and maintenance agreement applications. Manage (i.e., stock, store, issue), control, document, sustain, and maintain expendable and non-expendable parts and tools and cable inventories of FBI and vendor equipment. Perform IT and system hardware maintenance and IT or system equipment replacement services in response to requested maintenance. Keep Data Center infrastructure and IT equipment in operating condition consistent with OEM requirements, performing corrective, adaptive, and preventative maintenance tasks as needed and/or scheduled. Company Description Edgewater Federal Solutions is a privately held government contracting firm located in Frederick, MD. The company was founded in 2002 with the vision of being highly recognized and admired for supporting customer missions through employee empowerment, exceptional services and timely delivery. Edgewater Federal Solutions is ISO 9001, 20000-1, 270001 certified, appraised at CMMI Level 3 Maturity for Development and Services, and has been named in the Top Workplaces in the Greater Washington Area since 2018. It has been and continues to be the policy of Edgewater Federal Solutions to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, marital status, veteran status, and/or other statuses protected by applicable law. Company Description Edgewater Federal Solutions is a privately held government contracting firm located in Frederick, MD. The company was founded in 2002 with the vision of being highly recognized and admired for supporting customer missions through employee empowerment, exceptional services and timely delivery. Edgewater Federal Solutions is ISO 9001, 20000-1, 270001 certified, appraised at CMMI Level 3 Maturity for Development and Services, and has been named in the Top Workplaces in the Greater Washington Area since 2018. It has been and continues to be the policy of Edgewater Federal Solutions to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, marital status, veteran status, and/or other statuses protected by applicable law.

Sr. Staff AI Engineer (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of 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. 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, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. 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 SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Staff AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 5 (Gen AI Platform Services: Agentic AI) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of 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. 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, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and 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 ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate 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 given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Francisco, CA: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities . click apply for full job details

AI Engineer 4 (LLM Gateway, FM Hosting) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of 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. 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, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 5 (Gen AI Platform Services: Agentic AI) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of 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. 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, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and 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 ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate 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 given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Francisco, CA: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities . click apply for full job details

AI Engineer 4 (Vision model (VLM) customization experience) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of 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. 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, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 5 (GenAI Platform, Agentic Infrastructure) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of 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. 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, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and 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 ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate 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 given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Francisco, CA: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada . click apply for full job details