AI Enablement Engineer, IT

4+ years building integrations, automations, or software in a professional environment including production work with LLMs or AI agents.

Hands-on experience with workflow-automation.

Strong API fluency (REST / JSON, OAuth, webhooks) and the ability to read and write code in Python, Go, JavaScript / TypeScript or similar.

Practical experience building with large language models: prompting, structured outputs, and at least one of RAG, tool / function-calling, or agents.

A production mindset - error handling, logging and observability, testing or evaluations, and secure handling of secrets and sensitive data.

Understanding of data privacy, security, and responsible-AI considerations, and a habit of partnering with Security and Data teams.

We are seeking an AI Enablement Engineer to join our new Corporate AI Enablement & Efficiency team — the group responsible for turning AI from a buzzword into everyday leverage for the entire company.

You will design and build the automations, integrations, and AI agents that connect our applications, eliminate manual work, and help every team do more with the tools they already have.

Your work will directly shape how a 1,000-person organization adopts AI: safely, measurably, and at scale.

You will wire up production workflows, connect systems through APIs, and stand up MCP servers, AI skills, and agents that give teams reliable, governed access to large language models.

Other days you will be out in the business, spotting the manual, repetitive work worth automating and shipping solutions that stick.

Throughout, you will build like an engineer: real error handling, observability, evaluations, and guardrails — and you will keep Security and Data close so everything you ship stays compliant.