Deep, daily, hands-on use of AI across the full engineering lifecycle, including agentic coding tools, LLM APIs, and automated validation, with concrete examples of delegating substantial multi-step work to AI agents, catching their mistakes, and owning the result. Directs AI coding agents as the function's primary delivery capacity: decomposes initiatives into well-specified tasks, delegates implementation, testing, documentation, and source-data analysis to agents, reviews the output, and ships the result.