Spearhead research and development of specialized LLM based agents for each stage of the SDLC, including Requirement Analysis, Design, Code Generation, and Automated Testing. Design, prototype, and refine the core logic for the Agent Orchestrator, defining how context, artifacts, and human approvals flow between agents in the development pipeline. Develop novel prompting strategies and agent tool-chains that produce reliable, structured outputs (e.g., specification documents, test plans, pull requests) for complex software engineering tasks. Partner with platform engineers to define the requirements for the underlying platform, ensuring it supports advanced agentic concepts like human-in-the-loop workflows within an IDE and asynchronous reviews via GitHub. Prototype the next generation of developer experiences, including tight integration of AI agents within VS Code for real-time coding and testing collaboration. Own the core AI quality metrics for each agent, defining benchmarks for "time saved per task" and "rate of accepted changes" to continuously improve their performance.