Capital One
AI Engineer 5 (MLX, Agentic AI, Gen AI platform Services)
$230K–$286K
McLean, VA +4 · Full-time · Posted Oct 19, 2026
- Location
- McLean, VA
San Francisco, CA
Cambridge, MA
San Jose, CA
New York, NY - Experience
- At least 6 years developing AI and 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 platforms and systems, including foundation models, LLM inference, agentic workflows, and production AI services.
What you'll do
- Design, develop, deploy, and support AI components such as model training and inference, agents, similarity search, guardrails, evaluation, governance, and observability.
- Optimize foundation model training and inference for scalability, cost, latency, throughput, and hardware utilization.
- Guide technical direction, governance, design reviews, and mentorship for foundational AI systems.
What they ask for
- Bachelor’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field plus at least 6 years developing AI and ML algorithms or technologies; alternatively, 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 with cost, latency, throughput, and accuracy tradeoffs.
- 7+ years deploying scalable and responsible AI solutions on cloud platforms.
Pay
$229,900 - $262,400 USD base salary (McLean, VA and Cambridge, MA); $250,800 - $286,200 USD base salary (New York, NY, San Francisco, CA, and San Jose, CA)
Tools
AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, Python, Go, Scala, CUDA
AI focus
Develop and optimize foundation models, LLM inference, agentic and multi-agent workflows, similarity search, guardrails, evaluation, orchestration, and responsible production AI systems.
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