Capital One
AI Engineer 3 (AI Foundations)
$162K–$201K
McLean, VA +3 · Full-time · Posted Sep 18, 2026
- Location
- McLean, VA
Cambridge, MA
San Jose, CA
New York, NY - Experience
- At least 3 years developing AI and ML algorithms or technologies with a qualifying bachelor’s degree, or at least 1 year with a qualifying master’s degree; at least 3 years programming. Preferred: 4 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 optimize scalable foundational AI systems and AI-powered products, including models, inference, agents, evaluation, and governance.
What you'll do
- Design, develop, deploy, and support AI components and scalable model training and inference pipelines.
- Develop and benchmark conversational and tool-using agent workflows; improve production AI performance, safety, and efficiency.
- Collaborate across engineering, research, and product teams on AI systems, model evaluation, and governance; contribute to technical roadmaps and mentor junior engineers.
What they ask for
- Bachelor’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field plus at least 3 years developing AI and ML algorithms or technologies; or a Master’s degree in those fields plus at least 1 year of that experience.
- At least 3 years programming with Python, Go, Scala, CUDA, or Java.
Nice to have
- Experience deploying scalable, responsible AI solutions on cloud platforms; the posting specifies 4 years for this qualification.
- Experience with AI systems, optimization, agentic workflows, LLM evaluation, RAG, vector databases, fine-tuning, prompt engineering, safety guardrails, or red-teaming.
Pay
$161,800 - $184,600 USD base salary (Cambridge, MA); $161,800 - $184,600 USD base salary (McLean, VA); $176,500 - $201,400 USD base salary (New York, NY); $176,500 - $201,400 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, evaluation, and AI governance; optimize training and inference for scalable, responsible production systems.
Model-written summary · the original posting is authoritative