AI Engineer 5 (AI Foundations: Evaluations and Agentic Workflows)

Capital One’s Intelligent Foundations and Experiences (IFX) team is building responsible, reliable AI systems that help associates work more effectively and help customers interact with Capital One in smarter ways. This AI Engineer role focuses on evaluation and agentic workflows, with hands-on work across foundation model components, orchestration pipelines, governance, and observability to deliver scalable production AI.

Location: McLean, VA (hybrid)
Salary: USD 229,900 - 262,400 per year

What you’ll do

• Work with cross-functional partners across engineering, research, technical program management, and product to deliver AI-powered products that improve how associates and customers experience 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.
• Apply and combine open source and SaaS AI capabilities using tools such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.
• Develop and introduce foundation model optimization techniques to improve scalability, cost, latency, and throughput for large-scale production AI systems.
• Contribute to the technical vision and long-term roadmap for foundational AI systems at Capital One.
• Design, implement, and optimize multi-model orchestration pipelines that integrate LLMs, vector search, and domain-specific models into unified systems.
• Establish and lead cost-performance governance reviews across AI systems, monitoring GPU utilization, model throughput, and inference cost efficiency.
• Lead team design councils or design review boards to support technical consistency and compliance with AI engineering standards.
• Mentor Principal and Manager-level AI engineers, supporting cross-domain learning and improving organizational technical maturity.

Core qualifications

• Bachelor’s Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field plus at least 6 years developing AI/ML algorithms or technologies, or Master’s Degree plus at least 4 years developing AI/ML algorithms or technologies.
• At least 6 years programming with Python, Go, Scala, CUDA, or Java.

Technologies you may work with

• AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, AWS
• Google Cloud, Azure
• Python, Go, Scala, CUDA, Java, C++, C#, Golang
• LLMs, vector search, similarity search, guardrails

Benefits

Health, financial and other benefits that support your total well-being.

Hybrid and workplace statements

• 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.
• 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 applicable laws.
• Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
• For accommodation requests, contact Capital One Recruiting at 1-800-304-9102 or [email protected]. For technical support or questions about the recruiting process, email [email protected].
• Capital One does not provide, endorse, or guarantee third-party products, services, educational tools, or other information available through this site.

Additional notes: Performance-based incentive compensation may include cash bonus(es) and/or long term incentives (LTI).

Capital One Financial is made up of several different entities. 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).