AI Developer Enablement Engineer

At FactSet, our values are the foundation of everything we do. They express how we act and operate, serve as a compass in our decision-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients’ needs and exceeding their expectations.  

What You'll Do

• Design and build internal AI tooling that supports automated remediation and migration
• workflows across the developer platform
• Deploy and integrate AI tools (including LLM-based assistants, code analysis agents,
• and CI/CD-integrated tooling) into existing developer workflows
• Troubleshoot and support developers experiencing issues with AI tooling — acting as
• the subject matter expert for AI-assisted development
• Collaborate with teams to embed AI capabilities into build practices, upgrade cycles
• and security patching pipelines
• Measure and report on outcomes: faster upgrade cycles, reduced manual remediation
• effort, and cost avoidance
• Continuously improve tooling based on developer feedback and usage patterns

What We're Looking For

• Proficiency in **Go (Golang)**
• Hands-on experience building or integrating AI/LLM tooling (e.g., Claude, OpenAI
• APIs, GitHub Copilot, or similar)
• comfortable in the Linux CLI or Windows
• experience of developer workflows, CI/CD pipelines, and DevOps practices
• Ability to both build new tooling from scratch and configure/deploy existing AI platforms
• troubleshooting skills - comfortable being the go-to person when something breaks

Nice to Have:

• Experience with security remediation, dependency management, or legacy code modernization
• Familiarity with platform engineering or internal developer platform (IDP) concepts