Practical experience with AI and LLM systems — prompt engineering, retrieval-augmented generation, function calling, agent-based tools — and proven ability to build and deploy automation using code, APIs, scripting, orchestration platforms, or low-code technologies such as Python, workflow engines, or SOAR, integrating security logs, AI models, and platform components into cohesive pipelines. + Decide with the Senior AI Platform Engineer and the Principal AI Architect which Copilot features are released and to whom, withholding capability until the required controls are evidenced; review the solutions Forward Deployed Engineering builds and the platforms built with Percepta so neither reaches production without a security position; and set the guardrails for citizen developers and Copilot Studio makers with AI Enablement.