Capital One
AI Engineer 4 (Gen AI Platform Services: Agentic AI, Agent Guardrails, Agent Evaluation, Agent Memory)
$197K–$246K
San Francisco, CA +4 · Full-time · Posted Oct 6, 2026
- Location
- San Francisco, CA
McLean, VA
Cambridge, MA
San Jose, CA
New York, NY - Experience
- At least 4 years developing AI and 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 and responsible AI solutions on cloud platforms.
- Education
- Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields; or a master's degree in those fields. The posting does not state an equivalent-experience alternative.
- Visa sponsorship
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
About the job
Build and operate scalable, responsible AI platforms and services, including foundation models, inference pipelines, and agentic workflows, for Capital One products.
What you'll do
- Design, develop, test, deploy, and support AI software components, including agents, guardrails, model evaluation, governance, and observability.
- Optimize production AI systems for scalability, cost, latency, throughput, and hardware utilization; own architecture and reliability objectives.
- Shape foundational AI system roadmaps and lead technical reviews and cross-functional collaboration.
What they ask for
- Bachelor's degree in a listed or related field plus at least 4 years developing AI and ML algorithms or technologies, or a master's degree in a listed or 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 balancing cost, latency, throughput, and accuracy.
- Experience with scalable cloud AI deployment, AI services, agentic systems, model optimization, distributed systems, governance, or architectural leadership.
Pay
$197,300 - $225,100 USD base salary; $215,200 - $245,600 USD base salary
Tools
Python, Go, Scala, CUDA, Java, AWS Ultraclusters, Huggingface, VectorDBs, PyTorch
AI focus
Build and optimize foundation-model and LLM systems, agentic AI and multi-agent workflows, guardrails, similarity search, memory, model evaluation, and responsible AI governance.
Model-written summary · the original posting is authoritative