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 OpenTofu) to manage Azure App Services, Azure SQL, Azure Functions, and supporting infrastructure. 
• Improve CI/CD pipelines (Azure DevOps or GitHub 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