AI Engineer 2
Core
Design, develop, test, deploy, and support AI software components including foundation model training, LLM inference, agents, multi-agent workflows, similarity search, guardrails, and observability for banking applications.
Role type
Senior IC AI Engineer (Foundation Models & Agents)
Builds
Scalable, high-performance AI infrastructure and proprietary solutions empowering teams across Capital One to enhance products with AI.
Domain
Financial Services / Applied AI / Large Language Models
Deliverable
production ML models
Required skills
Foundation model training, LLM inference, agent and multi-agent workflows, similarity search, model evaluation, experimentation, governance, observability, prompt engineering, RAG, embedding-based search, responsible AI practices, hardware/software optimization
Preferred skills
Cost/latency/throughput tradeoff decisions, scalable cloud AI deployment, AI component development, training/inference software optimization, Agentic AI observability, Model Context Protocol, agent-to-agent interoperability
Technologies
AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, CUDA
Responsibilities
Partner with cross-functional teams to deliver AI-powered products; Invent and introduce state-of-the-art foundation model optimization techniques; Contribute to the technical vision and long-term roadmap of foundational AI systems; Collaborate on development of safe prompts, evaluation datasets, and automated regression tests; Support operational readiness by building deployment pipelines, testing environments, and telemetry; Document learnings and contribute to internal AI engineering standards.
Seniority
Mid-Senior, hands-on IC
