Capital One
AI Engineer 5 (AI Foundations)
$230K–$286K
San Jose, CA +3 · Full-time · Posted Oct 19, 2026
- Location
- San Jose, CA
McLean, VA
Cambridge, MA
New York, NY - Experience
- At least 6 years developing AI/ML algorithms or technologies with a bachelor's degree, or at least 4 years with a master's degree; at least 6 years programming. Preferred: 7+ years deploying AI solutions on cloud platforms.
- Education
- Bachelor's or Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields.
- Visa sponsorship
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
About the job
Build and optimize scalable AI foundations and production systems, including foundation models, LLM inference, agents, and orchestration pipelines for banking products.
What you'll do
- Design, develop, deploy, and support AI components such as model training and inference, agents, similarity search, guardrails, evaluation, and observability.
- Optimize production AI systems for scalability, cost, latency, throughput, and hardware utilization; lead cost-performance governance reviews.
- Shape technical roadmaps and standards, lead design reviews, and mentor AI engineers.
What they ask for
- Bachelor’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years developing AI/ML algorithms or technologies; or a Master’s degree in those fields plus at least 4 years.
- At least 6 years programming with Python, Go, Scala, CUDA, or Java.
Nice to have
- Experience leading AI system development and making cost, latency, throughput, and accuracy tradeoffs.
- Experience deploying scalable, responsible AI on cloud platforms; building agentic workflows; and optimizing AI training or inference.
Pay
$229,900 - $262,400 USD annual base salary (Cambridge, MA); $229,900 - $262,400 USD annual base salary (McLean, VA); $250,800 - $286,200 USD annual base salary (New York, NY); $250,800 - $286,200 USD annual base salary (San Jose, CA)
Tools
AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, Python, Go, Scala, CUDA
AI focus
Develop foundational AI systems, including foundation model training and optimization, LLM inference, agents and multi-agent workflows, model orchestration, similarity search, guardrails, evaluation, governance, and observability.
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