Senior AI Systems & Platform Leader

Capital One; New York (NY); On-site; USD 251,000 - 286,000; Full time

Job summary

Capital One in New York, NY seeks a Sr. Manager, AI Engineer to lead AI foundation models and production AI systems. You will oversee architecture, training, deployment, and governance, collaborating with engineers, researchers, and product managers to deliver scalable AI-powered solutions.

You will mentor a growing team, translate business goals into roadmaps, and codify responsible AI practices while ensuring performance and cost efficiency across platforms.

Qualifications

• Bachelor's degree in Computer Science or related field plus 6+ years of AI/ML experience or Master's with 4+ years
• At least 1 year of people leadership experience
• Experience deploying scalable and responsible AI solutions on cloud platforms

Responsibilities

• Partner with cross-functional teams to deliver AI-powered products
• Oversee design, development, testing, deployment, and support of AI software components
• Make build-vs-buy decisions across Open Source and SaaS AI technologies
• Innovate foundation model optimization techniques for performance and cost
• Contribute to the technical vision and long-term roadmap for foundational AI systems
• Attract and retain top AI/talent and mentor team members
• Translate enterprise AI goals into actionable roadmaps with measurable outcomes
• Operationalize Responsible AI with gates, documentation, and governance
• Collaborate with Research, Data, and Platform teams to streamline model lifecycles

Skills

Leadership

AI systems

Communication

Problem solving

Mentoring

Team building

Education

Bachelor's degree in Computer Science or related field

Master's degree in Computer Science or related field

Tools

Python

C++

Java

CUDA

Golang

C#

PyTorch

HuggingFace

VectorDBs

Job description

Capital One in New York, NY seeks a Sr. Manager, AI Engineer to lead AI foundation models and production AI systems. You will oversee architecture, training, deployment, and governance, collaborating with engineers, researchers, and product managers to deliver scalable AI-powered solutions.

You will mentor a growing team, translate business goals into roadmaps, and codify responsible AI practices while ensuring performance and cost efficiency across platforms.