Capital One
AI Engineer 4 (AI Foundations)
$197K–$246K
Cambridge, MA +2 · Full-time · Posted Sep 21, 2026
- Location
- Cambridge, MA
New York, NY
San Jose, CA - 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 scalable, 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 optimize scalable AI infrastructure and AI-powered products, including foundation models, LLM inference, agents, and production AI services.
What you'll do
- Design, develop, deploy, and support AI software components and end-to-end AI systems.
- Optimize foundation-model training and inference for performance, scalability, cost, latency, throughput, and hardware utilization.
- Set technical direction and collaborate across teams on AI system reliability, governance, security, and deployment.
What they ask for
- Bachelor’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field plus at least 4 years developing AI/ML algorithms or technologies, or a relevant master’s degree 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, agentic systems, or training/inference optimization techniques.
Pay
$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 Jose, CA)
Tools
AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, Python, Go, Scala, CUDA
AI focus
Develop foundation models, LLM inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, and optimization techniques for production AI systems.
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