This leader will drive adoption of AI-assisted Quality Engineering, including agentic agents capable of reading user stories, acceptance criteria, code changes, build outputs, deployments, and release plans to generate, execute, and maintain automated tests across smoke, functional, regression, user experience, integration, performance, load, and other testing needs. Help design and operationalize AI Quality Engineering assistants that can interpret multiple engineering inputs, including user stories, acceptance criteria, actual code, build artifacts, deployment schedules, and release plans.