Teams at Capital One

Leads full-stack engineering projects and developer teams building cloud-based, distributed microservices and financial technology solutions. Responsibilities include software architecture, technical leadership, mentoring, API and database development, cloud infrastructure, refactoring, performance optimization, Agile delivery, and establishing engineering standards. The role uses modern programming languages, AWS and other cloud platforms, container orchestration, open-source technologies, CI/CD, automated testing, and observability.

Design, develop, deploy, and support large-scale AI systems, including foundation model training, LLM inference, agents, vector search, guardrails, evaluation, governance, and observability. Optimize models and infrastructure for cost, latency, throughput, scalability, and hardware utilization. Architect multi-model orchestration pipelines, establish AI cost-performance governance, lead technical design reviews, shape foundational AI roadmaps, and mentor senior AI engineering leaders.

Build and deploy scalable AI systems, including foundation model training, LLM inference, agentic workflows, similarity search, guardrails, evaluation, governance, and observability. Optimize model training and inference for cost, latency, throughput, and hardware utilization. Own complex AI architecture, reliability SLOs, and technical roadmaps while collaborating across engineering, research, infrastructure, and product teams. Lead deployment reviews for security and compliance and mentor senior technical staff.