Lead AI Engineer

Role Overview

Lead AI Engineer will partner with a cross-functional team to deliver AI-powered products that change how associates work and how customers interact with Capital One. The role will involve designing, developing, testing, deploying, and supporting AI software components, leveraging a broad stack of Open Source and SaaS AI technologies.

What You Will Do

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.

Why It Might Be a Fit

The ideal candidate will have a passion for building systems, a strong foundation in engineering and mathematics, and experience in developing AI and ML algorithms or technologies. They will also be able to adapt quickly, thrive on bringing clarity to big problems, and have the courage to share new ideas.

Requirements

• Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields
• At least 4 years of experience developing AI and ML algorithms or technologies
• At least 4 years of experience programming with Python, Go, Scala, or Java
• 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
• Experience designing, developing, delivering, and supporting AI services
• Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang

Benefits

• Comprehensive, competitive, and inclusive set of health, financial and other benefits
• Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
• Eligibility for equity or stock options