AI Engineer 4 (AI Foundations: World Model, RL, Causal Inference, Sequential Data)
Core
Design, develop, test, deploy, and support AI software components including foundation model training, LLM inference, agents, and multi-agent workflows to deliver AI-powered products for banking customers and associates.
Role type
Senior IC AI Engineer (Foundational AI & Systems)
Builds
Scalable, high-performance AI infrastructure and proprietary AI solutions (foundation models, agents, similarity search) for Capital One's banking products.
Domain
Financial Services / Generative AI & Large Language Models
Deliverable
production ML models
Required skills
Foundation model training, LLM inference, agent and multi-agent workflow design, model evaluation and governance, distributed systems architecture, GPU/TPU optimization, Python, Go, CUDA, PyTorch, VectorDBs, AWS Ultraclusters
Preferred skills
Leading development of AI systems with cost/latency tradeoff decisions, deploying scalable AI on cloud platforms, building agentic AI systems, designing distributed systems for petabyte-scale inference, defining AI model governance processes
Technologies
AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, CUDA, Python, Go, Scala, Java, C++, C#
Responsibilities
Partner with cross-functional teams to deliver AI-powered products; Invent and introduce state-of-the-art foundation model optimization techniques; Own end-to-end architecture for complex AI systems; Define and maintain SLOs for AI reliability; Collaborate with infrastructure engineering to optimize GPU/TPU utilization; Mentor Principal and Senior Associates on scalable design and research-to-production translation
Seniority
Senior, hands-on IC
