Capital One
AI Engineer 5 (MLX, Agentic AI, Gen AI platform Services)
$230K–$286K
McLean, VA +4 · Full-time · Posted Sep 22, 2026
- Location
- McLean, VA
San Francisco, CA
Cambridge, MA
San Jose, CA
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 scalable 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 production systems, including foundation models, LLM inference, agent workflows, and multi-model orchestration.
What you'll do
- Design, build, deploy, and support AI components and production systems, including model training and inference, agents, search, guardrails, evaluation, governance, and observability.
- Optimize foundation-model training and inference for scalability, cost, latency, throughput, and hardware utilization.
- Shape AI platform roadmaps, lead technical reviews and cost-performance governance, and mentor AI engineers.
What they ask for
- Bachelor’s degree in a related field plus at least 6 years developing AI/ML algorithms or technologies, or a master’s degree in a related field plus at least 4 years developing AI/ML algorithms or technologies.
- 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 AI solutions on cloud platforms; building agentic workflows; optimizing AI training and inference; and integrating heterogeneous AI systems.
Pay
$229,900 - $262,400 USD base salary (Cambridge, MA); $229,900 - $262,400 USD base salary (McLean, VA); $250,800 - $286,200 USD base salary (New York, NY); $250,800 - $286,200 USD base salary (San Francisco, CA); $250,800 - $286,200 USD base salary (San Jose, CA)
Tools
AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, Python, Go, Scala, CUDA
AI focus
Develop responsible, scalable AI platforms and production systems, including foundation models, LLM inference, agentic and multi-agent workflows, model optimization, similarity search, guardrails, and orchestration.
Model-written summary · the original posting is authoritative