Engineer Lead, Artificial Intelligence / Machine Learning (GitHub copilot)

Are you curious, motivated, and forward-thinking? At FIS you’ll have the opportunity to work on some of the most challenging and relevant issues in financial services and technology. Our talented people empower us, and we believe in being part of a team that is open, collaborative, entrepreneurial, passionate and above all fun.

About the team

The Client Office Custom Development CoE team is a horizontal Center of Excellence for the Client Office, helping drive revenue growth and deliver significant cost savings by identifying, designing, and implementing GenAI and Agentic AI solutions at enterprise scale.

The Client Office is one of the three major verticals at FIS, supporting a wide range of products and solutions across funds management, cleared derivatives, commercial lending, corporate treasury, insurance risk, electronic trading, RegTech, wealth, and retirement.

The team is composed of highly motivated Product Engineers, Functional SME’s, QA’s, Architects, GitHub copilot experts focused on embedding AI into real‑world delivery workflows.

What you will be doing

As an Artificial Intelligence / Machine Learning Engineer Lead, you will play a pivotal role in driving the enterprise rollout of GitHub Copilot across the Services organization and building AI agents and agentic workflows that accelerate software delivery.

You will work closely with development, QA, and technical consulting teams to enable hands‑on adoption of AI‑assisted engineering, establish prompt and agent standards, and embed responsible AI practices into day‑to‑day delivery

What you bring:

Knowledge / Experience

• 8+ years of overall experience, with 4+ years working on AI / GenAI / Agentic AI

• Experience designing and building applications using GitHub copilot

• Experience in driving GitHub adoption across enterprise

• Experience in prompt engineering