Capital One
AI Engineer 4 (MLX, Agentic AI, Gen AI platform Services)
$197K–$246K
McLean, VA +4 · Full-time · Posted Sep 22, 2026
- Location
- McLean, VA
San Francisco, CA
Cambridge, MA
San Jose, CA
New York, NY - 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 cloud experience: 6 years.
- 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 operate scalable AI platforms and products, including foundation models, LLM inference, and agentic workflows, while improving production system performance and reliability.
What you'll do
- Design, develop, test, deploy, and support AI systems and components, including model training, inference, agents, search, guardrails, evaluation, and observability.
- Optimize production AI systems for scalability, cost, latency, throughput, and hardware utilization; define reliability objectives and support governance and compliance.
- Shape foundational AI system roadmaps and collaborate across engineering, research, product, and infrastructure teams.
What they ask for
- Bachelor’s degree in a listed or related field plus at least 4 years developing AI/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 with tradeoff decisions involving cost, latency, throughput, and accuracy.
- Experience building agentic AI systems and workflows; deploying scalable, responsible AI on cloud platforms; or optimizing model training and inference.
Pay
$197,300 - $225,100 USD base salary (Cambridge, MA and McLean, VA); $215,200 - $245,600 USD base salary (New York, NY, San Francisco, CA, and San Jose, CA)
Tools
Python, Go, Scala, CUDA, Java, AWS Ultraclusters, Huggingface, PyTorch
AI focus
Develop responsible, scalable AI platforms and products, including foundation model training, LLM inference, agentic and multi-agent workflows, similarity search, guardrails, evaluation, and model optimization.
Model-written summary · the original posting is authoritative