AI Enablement Engineer

Strong technical foundation as a software engineer or developer advocate. Familiarity with modern AI developer tools (e.g., GitHub Copilot, Cursor, Codeium, Tabnine, AWS/GCP/Azure copilots). Experience integrating AI into developer workflows or driving tooling adoption. Clear, engaging communication skills for training and influencing practices. Strong organizational skills for tracking API usage, managing budgets, and keeping pilots on course. Hands-on work with AI frameworks like LangChain, LlamaIndex, or Hugging Face in engineering contexts (preferred). Experience with CI/CD automation, DevOps, or developer platform engineering (preferred). Knowledge of secure coding practices and AI governance concerns (preferred). Previous experience in developer enablement, productivity engineering, or engineering management (preferred).

Lead training sessions, workshops, and office hours on AI-assisted development. Design and maintain internal playbooks and best practices for AI use in the SDLC. Partner with engineering leaders to shape interview strategies for AI skills. Trial emerging AI-powered IDEs, copilots, and dev tools. Manage access to AI services (API keys, usage monitoring, budget tracking). Benchmark and compare AI tools for performance and ROI. Identify and deliver agentic solutions across the SDLC. Integrate AI tools into CI/CD pipelines with platform and DevOps teams. Collaborate with security and InfoSec for responsible AI use. Track adoption, developer satisfaction, and improvements in development speed and quality. Provide clear reporting to stakeholders on AI's role in accelerating engineering. Maintain awareness of the AI developer tooling ecosystem. Share insights to guide pragmatic AI adoption.