Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)

Capital One offers a comprehensive, competitive, and inclusive benefits package that supports total well-being, including health, financial security, and more. This onsite role in McLean, VA also provides eligibility for performance based incentive compensation, which may include cash bonuses and long term incentives.

Overview

Capital One is building responsible and reliable AI systems that drive better banking outcomes. The company has a history of using machine learning to power real time, personalized customer experiences, and ongoing investment in technology, infrastructure, and top talent keeps us at the forefront of enterprise AI. Our approach combines practical deployment with rigorous governance to deliver value for customers and associates alike.

Team Description

The Intelligent Foundations and Experiences (IFX) team sits at the center of Capital One's AI strategy. We collaborate with partners across the organization to advance science and AI engineering, building and deploying proprietary solutions that are central to the business and deliver value to millions. Our AI models and platforms empower teams to enhance products with the transformative power of AI.

Responsibilities

• Collaborate with a cross functional team of engineers, research scientists, program managers, and product managers to deliver AI powered products that impact how associates work and how customers interact with Capital One.
• Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
• Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
• Invent and apply state of the art LLM optimization techniques to improve scalability, cost, latency, and throughput for large scale production AI systems.
• Contribute to the technical vision and long term roadmap of foundational AI systems at Capital One.

Requirements

• A Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields with at least 4 years of AI/ML development experience, or a Master's degree in the same fields with at least 2 years of AI/ML development experience.
• At least 4 years of programming experience in Python, Go, Scala, or Java.

Technologies

• AWS Ultraclusters
• Huggingface
• VectorDBs
• Nemo Guardrails
• PyTorch
• Python
• Go
• Scala
• Java

Benefits

Capital One provides a comprehensive, competitive, and inclusive benefits program that supports your total well being. This role is eligible for performance based incentive compensation, which may include cash bonuses and long term incentives (LTI). Incentives can be discretionary or non discretionary depending on the plan.