Senior Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services)

About the role

The Intelligent Foundations and Experiences (IFX) team at Capital One is dedicated to advancing the state of the art in science and AI engineering. We build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. In this role, you will partner with a cross-functional team to deliver AI-powered products that transform how our associates work and how our customers interact with Capital One.

Responsibilities

• Design, develop, test and support ML software components including distributed model training and inference, model orchestration and observability, etc.
• Leverage a broad stack of Open Source and SaaS AI/ML technologies such as kubernetes, kubeflow pipelines, ray, polars and more
• Invent and introduce state-of-the-art ETL and ML optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production ML systems
• Contribute to the technical vision and the long term roadmap of ML systems at Capital One

Requirements

• Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies
• At least 6 years of experience programming with Python, Go, Scala, or Java

Qualifications

• Passion for staying abreast of the latest research and industry trends, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production
• Adapt quickly and thrive on bringing clarity to big, undefined problems. Love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity
• Courage to share new ideas even when they are unproven
• Deeply Technical. Strong foundation in engineering and mathematics, expertise in hardware, software, and AI/ML enabling you to see and exploit optimization opportunities that others miss
• Resilient trail blazer who can forge new paths to achieve business goals when the route is unknown

Skills

• Strong foundation in engineering and mathematics
• Expertise in hardware, software, and AI/ML
• Programming with Python, Go, Scala, or Java
• Experience designing, developing, integrating, delivering, and supporting complex AI systems
• Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory)
• Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost

Benefits

• Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

Pay

• Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer
• Mclean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer
• New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer
• San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer
• San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer

Schedule

• Full-time