AI Enablement Engineer

About

The Role

The AI Enablement Engineer serves as a force multiplier for the Software Development organization and, over time, IT as a whole. Using discretion and independent judgment, this engineer builds AI development frameworks, infrastructure-as-code practices, and CI/CD pipelines that make the development team faster and more consistent-then extends that capability into internal AI-powered tools and workflows for business stakeholders

What You'll Do

* Build and maintain Cursor workspace configurations, rules files, prompt templates, and context pipelines for the team's .NET and React/JS codebases.

* Create structured LLM workflows (Claude, Gemini) for BSAs to generate PRDs, ERDs, and API contracts that feed directly into Cursor as development context.

* Design and implement IaC frameworks (Terraform, Pulumi, or Open Tofu) to manage Azure App Services, Azure SQL, Azure Functions, and supporting infrastructure.

* Improve CI/CD pipelines (Azure Dev Ops or Git Hub Actions) with automated testing, quality gates, security scanning, and zero-downtime deployment patterns.

* Build environment provisioning automation for dev, staging, and production without manual Azure portal configuration.

* Support Microsoft Fabric data platform through IaC patterns, CI/CD for data pipelines, and developer environment connectivity.

* Conduct hands-on developer training and monthly AI office hours on Cursor usage, prompt patterns, and AI-assisted workflows.

* Define and instrument AI adoption metrics:
Cursor usage rates, AI-assisted PRD completion, pipeline health, and context quality scores