Capital One
Senior Staff AI Engineer - Agentic AI Platform (Remote Eligible)
$286K–$392K
San Francisco, CA +5 · Senior Staff · Full-time · Posted Sep 27, 2026
- Location
- San Francisco, CA
US Remote
McLean, VA
Cambridge, MA
San Jose, CA
New York, NY - Experience
- At least 10 years developing AI/ML algorithms or technologies with a bachelor’s degree, or at least 8 years with a master’s degree; at least 10 years programming.
- 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
Leads the design, development, and scaling of enterprise AI platforms and agentic systems, setting technical direction and standards for production AI.
What you'll do
- Design, deploy, and support AI components including foundation models, LLM inference, agents, guardrails, evaluations, and observability.
- Develop optimization techniques to improve production AI performance, including scalability, cost, latency, and throughput.
- Set AI architecture and standards, lead long-term platform initiatives, and mentor technical leaders.
What they ask for
- Bachelor’s degree in a relevant field plus at least 10 years developing AI/ML algorithms or technologies, or a relevant master’s degree plus at least 8 years.
- At least 10 years programming with Python, Go, Scala, CUDA, or Java.
Nice to have
- Experience architecting AI platforms and deploying scalable, responsible AI on cloud platforms.
- Experience building agentic AI systems and workflows, optimizing model training or inference, and leading or mentoring engineering teams.
Pay
$286,200 - $326,700 USD base salary (Remote); $314,800 - $359,300 USD base salary (Cambridge, MA); $314,800 - $359,300 USD base salary (McLean, VA); $343,400 - $392,000 USD base salary (New York, NY); $343,400 - $392,000 USD base salary (San Francisco, CA); $343,400 - $392,000 USD base salary (San Jose, CA)
Tools
AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, Python, Go, Scala, CUDA
AI focus
Builds and leads enterprise AI platforms, foundation model training and inference, agents and multi-agent workflows, model optimization, and AI safety, transparency, governance, and evaluation standards.
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