AI Engineer 5 (MLX, Agentic AI, Gen AI platform Services)
Core
Design, develop, test, deploy, and support AI software components including foundation model training, LLM inference, agentic workflows, and multi-model orchestration for Capital One's banking products.
Role type
Senior IC AI Engineer (MLX, Agentic AI, Gen AI platform)
Builds
Proprietary AI solutions and platforms that empower teams across Capital One to enhance products with AI.
Domain
Banking / Applied AI / Large Language Models
Deliverable
production ML models
Required skills
Foundation model training, LLM inference, agentic workflows, multi-model orchestration, model optimization, cost-performance governance, Python, Go, CUDA, Java
Preferred skills
Leading development of AI systems with tradeoff decisions, deploying scalable AI on cloud platforms, building agentic AI systems, architecting heterogeneous AI systems, defining ethical AI deployment standards, right-sizing models and hardware
Technologies
AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, CUDA
Responsibilities
Partner with cross-functional teams to deliver AI-powered products; Design and optimize multi-model orchestration pipelines; Establish cost-performance governance reviews; Lead team design councils; Mentor Principal and Manager-level AI engineers
Seniority
Senior, hands-on IC with mentorship responsibilities