· Architect and build agentic workflows across the software development lifecycle and Engineering Operations.
· Translate engineering standards, playbooks, governance, and systems of record into automated workflows, controls, and agents.
· Implement the Engineering data architecture and systems-of-record model, including the integrations, context, and traceability required to support agentic workflows and trusted engineering data.
· Define scalable patterns for agent architecture, context, human/agent handoffs, guardrails, evaluation, and observability.
· Advise engineering teams on adapting and adopting the Agentic SDLC for their specific architectures, workflows, risks, and mission requirements.
· Develop reusable agentic capabilities and patterns that can scale across Engineering.
· Measure the adoption and effectiveness of agentic engineering capabilities and continuously improve them.