• Define and build Vida's organizational approach to AI-augmented engineering—turning individual tool usage into a shared, scalable capability. • Build the institutional knowledge systems that make Vida's architecture, domain context and golden path patterns accessible to both engineers and AI tools. • Establish technical controls and governance for AI tool usage: approved tools, PHI-safe workflows, prompt guardrails and vendor evaluation processes. • Own CI/CD reliability and velocity—targeting sub-5-minute median CI with automated preview environments, flake reduction and smart test selection. • Build paved-road developer workflows: one-command local setup, service templates, repo standards and golden path generators. • Own core GCP platform systems—compute, networking primitives, deployment automation and infrastructure as code. • Define and track the metrics that show whether enablement is working: PR cycle time, CI duration, change failure rate, time-to-first-PR for new engineers. • Hire and grow a team of 1–2 engineers as impact proves out.