Capital One
AI Engineer 4 (MLX, Agentic AI, Gen AI platform Services)
$197K–$246K
San Jose, CA +4 · Full-time · Posted Sep 18, 2026
- Location
- San Jose, CA
San Francisco, CA
McLean, VA
Cambridge, MA
New York, NY - Experience
- At least 4 years developing AI/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 cloud-based AI solutions.
- 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 and services, optimizing models and inference for scalable, reliable AI products across Capital One.
What you'll do
- Design, develop, deploy, and support AI components including foundation-model training, LLM inference, agents, search, guardrails, evaluation, and observability.
- Optimize production AI systems for scalability, cost, latency, throughput, and hardware utilization; shape foundational AI architecture and roadmap.
- Own system architecture and reliability practices, and coordinate technical reviews for security, 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 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, responsible AI on cloud platforms; developing AI services, optimization techniques, and agentic workflows.
Pay
$197,300 - $225,100 USD base salary (McLean, VA); $197,300 - $225,100 USD base salary (Cambridge, MA); $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
Python, Go, Scala, CUDA, Java, AWS Ultraclusters, Huggingface, PyTorch
AI focus
Develop and optimize foundation models, LLM inference, agentic and multi-agent workflows, similarity search, guardrails, model evaluation, governance, and observability.
Model-written summary · the original posting is authoritative