AI Engineer, MLX & Agentic AI
Core
Design, build, and deploy scalable agentic AI systems and LLM inference pipelines to improve associate workflows and customer interactions at Capital One.
Role type
Senior IC AI Engineer (Agentic AI & ML Systems)
Builds
Production AI software components including foundation model training, multi-agent workflows, similarity search, guardrails, and observability tools.
Domain
Financial services / Large-scale AI infrastructure
Deliverable
production ML models
Required skills
Python, Go, CUDA, Java, C++, C#, LLM inference, vector databases, distributed systems design, model optimization, agentic workflows
Preferred skills
Leading AI systems with cost/latency tradeoffs, deploying scalable AI on cloud platforms, designing distributed systems for petabyte-scale inference, defining AI model governance processes, influencing architectural decisions, mentoring senior engineers
Technologies
AWS Ultraclusters, Hugging Face, PyTorch, VectorDBs, Golang, CUDA, PyTorch
Responsibilities
Partner with product and engineering teams to deliver AI-powered products; design and own end-to-end architecture for complex AI systems; optimize training and inference for hardware utilization and latency; lead cross-functional technical reviews for security and compliance; mentor Principal and Senior Associates on scalable design and performance tuning.
Seniority
Senior, hands-on IC with mentorship responsibilities
