Capital One
AI Engineer 4 (MLX, Agentic AI, Gen AI platform Services)
$197K–$246K
San Jose, CA +4 · Full-time · Posted Oct 7, 2026
- Location
- San Jose, CA
San Francisco, CA
McLean, VA
Cambridge, MA
New York, NY - Experience
- At least 4 years of AI/ML development experience with a Bachelor’s degree, or at least 2 years with a Master’s degree; at least 4 years programming experience. Preferred: 6+ 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 operate scalable AI platforms and production systems, including foundation models, LLM inference, agent workflows, and optimization for performance and reliability.
What you'll do
- Design, develop, deploy, and support AI components and systems, including model training and inference, agents, similarity search, guardrails, evaluation, and observability.
- Optimize production AI systems for scalability, cost, latency, throughput, and hardware utilization; own complex system architecture and reliability objectives.
- Contribute to AI platform strategy and lead cross-functional technical reviews for deployments, including security, data governance, and compliance.
What they ask for
- Bachelor’s degree in a related field plus at least 4 years developing AI/ML algorithms or technologies, or a Master’s degree in a related field plus at least 2 years developing AI/ML algorithms or technologies.
- At least 4 years programming with Python, Go, Scala, CUDA, or Java.
Nice to have
- Experience leading AI system development with tradeoff decisions around cost, latency, throughput, and accuracy.
- Experience building agentic AI systems and workflows; deploying scalable, responsible AI solutions on cloud platforms.
Pay
$197,300 - $225,100 USD base salary (Cambridge, MA); $197,300 - $225,100 USD base salary (McLean, VA); $215,200 - $245,600 USD base salary (New York, NY); $215,200 - $245,600 USD base salary (San Francisco, CA); $215,200 - $245,600 USD base salary (San Jose, CA)
Tools
AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, Python, Go, Scala, CUDA
AI focus
Develop foundational AI platforms and production systems, including foundation model training and optimization, LLM inference, agentic and multi-agent workflows, similarity search, guardrails, model evaluation, governance, and observability.
Model-written summary · the original posting is authoritative