AI Engineer 4 (MLX)

Sourced from capitalonecareers.com

Capital One's Intelligent Foundations and Experiences (IFX) team is hiring an AI Engineer 4 to design, build, and scale production AI systems spanning foundation model training, LLM inference, agentic workflows, similarity search, and model governance. You will optimize large-scale AI infrastructure for performance, cost, and reliability, own end-to-end architecture for complex AI systems, and mentor engineers while shaping the long-term AI roadmap. This is a full-time, on-site role based in New York, NY.

• Design, develop, test, deploy, and support AI software components including foundation model training, LLM inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, and observability | Invent and apply state-of-the-art foundation model optimization techniques to improve scalability, cost, latency, and throughput of large-scale production AI systems | Own end-to-end architecture for complex AI systems, ensuring maintainability, observability, and ethical alignment | Define and maintain SLOs for AI reliability, including latency, uptime, and model performance drift | Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate inference pipelines | Lead cross-functional technical reviews for new AI deployments, ensuring security, data governance, and compliance | Mentor Principal and Senior Associates on scalable design, performance tuning, and research-to-production translation