AI Engineer: AI Foundations & VLM Customization
Core
Design, develop, test, deploy, and support scalable AI software components including foundation model training, LLM inference, agentic workflows, and multi-model orchestration to improve banking products.
Role type
Senior IC AI Engineer (AI Foundations & VLM Customization)
Builds
Production AI systems, agentic workflows, and multi-model orchestration pipelines for Capital One's banking associates and customers.
Domain
Financial Services / Large Language Models / AI Infrastructure
Deliverable
production ML models
Required skills
Python, Go, Scala, CUDA, Java, LLM inference, vector databases, model optimization, agentic AI systems, multi-model orchestration, cost-performance governance
Preferred skills
Leading AI system development, deploying scalable AI on cloud platforms, designing complex AI systems, building LLM inference and guardrails, optimizing training/inference for hardware utilization, creating agentic workflows, architecting mixed AI systems, enforcing ethical AI standards, right-sizing models
Technologies
AWS Ultraclusters, Hugging Face, VectorDBs, PyTorch, C#, Golang, PyTorch
Responsibilities
Partner with cross-functional teams to deliver AI-powered products; design and optimize multi-model orchestration pipelines; establish cost-performance governance reviews; lead design councils for technical consistency; mentor Principal- and Manager-level AI engineers.
Seniority
Senior, hands-on IC with mentorship responsibilities
