Capital One
AI Engineer 4 (AI Foundations, LLM Core and Agentic AI)
$197K–$246K
San Jose, CA +3 · Full-time · Posted Sep 18, 2026
- Location
- San Jose, CA
McLean, VA
Cambridge, MA
New York, NY - Experience
- At least 4 years developing AI and ML algorithms or technologies with a Bachelor’s degree, or at least 2 years with a Master’s degree; at least 4 years programming. Preferred: 6 years deploying scalable and responsible 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 foundational AI systems, LLMs, and agentic workflows for scalable, reliable AI-powered products at Capital One.
What you'll do
- Design, develop, deploy, and support AI components including foundation model training, LLM inference, agents, similarity search, guardrails, evaluation, governance, and observability.
- Optimize production AI systems for scalability, cost, latency, throughput, and hardware utilization; define reliability objectives and guide system architecture.
- Partner with cross-functional teams on AI product delivery, technical roadmaps, deployment reviews, and mentoring.
What they ask for
- Bachelor’s degree in a related field plus at least 4 years developing AI and ML algorithms or technologies, or a Master’s degree in a related field plus at least 2 years of that experience.
- At least 4 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 and responsible AI solutions on cloud platforms; experience building agentic AI systems and workflows.
Pay
Cambridge, MA: $197,300 - $225,100 USD base salary; McLean, VA: $197,300 - $225,100 USD base salary; New York, NY: $215,200 - $245,600 USD base salary; San Jose, CA: $215,200 - $245,600 USD base salary
Tools
AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, Python, Go, Scala, CUDA
AI focus
Develop foundation models, LLM inference, agentic and multi-agent workflows, and scalable AI infrastructure; optimize AI training and inference and support responsible, governed production deployment.
Model-written summary · the original posting is authoritative