Capital One
Sr. Manager, AI Engineer (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation)
$230K–$286K
New York, NY +4 · Manager · Full-time · Posted Oct 8, 2026
- Location
- New York, NY
San Francisco, CA
McLean, VA
Cambridge, MA
San Jose, CA - Experience
- At least 6 years developing AI and ML algorithms or technologies with a bachelor's degree, or at least 4 years with a master's degree; at least 1 year of people leadership experience. Preferred: 3 years managing and leading an engineering team and 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
Leads an engineering team building and operating foundational AI systems and platform services, including agentic AI, model optimization, guardrails, evaluation, and responsible-AI controls.
What you'll do
- Oversee design, development, testing, deployment, and support of AI components and production systems.
- Set technical vision and roadmaps, make build-vs-buy decisions, and optimize AI systems for scalability, cost, latency, and throughput.
- Lead and develop the team while operationalizing responsible-AI review, evaluation, governance, and rollout standards.
What they ask for
- Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in those fields plus at least 4 years of that experience.
- At least 1 year of people leadership experience.
Nice to have
- 3 years of experience managing and leading an engineering team.
- Experience with scalable responsible AI on cloud platforms, agentic systems, MLOps, AI observability, or listed AI/ML technologies and programming languages.
Pay
$229,900 - $262,400 USD base salary (Cambridge, MA and McLean, VA); $250,800 - $286,200 USD base salary (New York, NY, San Francisco, CA, and San Jose, CA)
Tools
AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, AWS, Google Cloud, Azure, Python
AI focus
Builds and leads production AI platform work involving foundation models, LLM inference, agentic systems and workflows, similarity search, guardrails, model evaluation, optimization, governance, and observability.
Model-written summary · the original posting is authoritative