Capital One
AI Engineer 5 (MLX, Agentic AI, Gen AI platform Services)
$230K–$286K
San Jose, CA +4 · Full-time · Posted Oct 3, 2026
- Location
- San Jose, CA
San Francisco, CA
McLean, VA
Cambridge, MA
New York, NY - Experience
- 6 years developing AI/ML algorithms or technologies with a bachelor’s degree, or 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
Design, optimize, and lead development of scalable AI platforms and production systems, including foundation models, LLM inference, and agentic workflows for Capital One.
What you'll do
- Build and support AI components and multi-model orchestration pipelines, including LLMs, vector search, and domain-specific models.
- Develop optimization methods for production AI systems, balancing scalability, cost, latency, throughput, and hardware utilization.
- Shape technical roadmaps and standards, lead design reviews and cost-performance governance, and mentor AI engineers.
What they ask for
- Bachelor’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field plus 6 years developing AI/ML algorithms or technologies; or a relevant master’s degree plus 4 years.
- At least 6 years programming with Python, Go, Scala, CUDA, or Java.
Nice to have
- Experience developing agentic AI systems and workflows, and deploying scalable AI solutions on cloud platforms.
- Experience optimizing AI training and inference, architecting production AI systems, and balancing model performance with operational cost.
Pay
USD $229,900 - $262,400 base salary (McLean, VA); USD $229,900 - $262,400 base salary (Cambridge, MA); USD $250,800 - $286,200 base salary (New York, NY); USD $250,800 - $286,200 base salary (San Francisco, CA); USD $250,800 - $286,200 base salary (San Jose, CA)
Tools
AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, Python, Go, Scala, CUDA
AI focus
Build and optimize foundation model training, LLM inference, agentic and multi-agent workflows, vector search, guardrails, evaluation, governance, and observability; improve production model performance and efficiency.
Model-written summary · the original posting is authoritative