Serve as the technical owner and lead engineer for the Agentic Engineering Hub, a platform that orchestrates AI-driven SDLC automation across ~50 repositories and 7+ product teams
Evolve the Hub from prototype to a v1.0 release: governance, observability/KPI dashboards, cost analytics, and error-recovery patterns
Improve AI agent workflows: prompt engineering, tool-use policies, iteration budgets, and timeouts
Design and build security and quality agents at scale (vulnerability remediation, test coverage augmentation, standardization of conventions across repositories)
Provision and govern an Azure sandbox for GenAI prototyping, including a clear pathway to promote prototypes to production
Produce AI adoption playbooks and coach teams on using the Hub, good repository conventions, and reviewing agent-generated PRs
Collaborate daily with product leaders, engineering managers, and the platform architect, working cross-functionally
Requirements
Strong production software engineering experience at a senior/staff level
Agentic AI development: autonomous agents with tool use, prompt engineering, iteration/retry strategies, and cost/token optimization
CI/CD and GitHub Actions (workflows, composite actions, cross-repo automation)
Experience with at least two of the following stacks: .NET (C#, GraphQL, EF Core, xUnit), Angular/TypeScript (RxJS, NgRx, i18n), Python/PySpark/Databricks (medallion, Delta Lake), IaC (Bicep, Terraform)