• Analyze incoming AI use cases to determine technical feasibility, data availability, and appropriate risk tiering (green/yellow/red) • Perform detailed data lineage and quality assessments to ensure training/RAG datasets meet governance standards for accuracy and PII/PHI protection • Maintain the 'AI Agent Registry & Catalog,' documenting agent capabilities, API dependencies, and ownership within the Azure APIM and Mesh architecture • Draft technical requirements and 'Definition of Ready' artifacts for the Platform Engineering team • Support the AI Engineering Committee (AIEC) by documenting architectural fit and identifying potential technical debt in proposed solutions • Track the lifecycle of AI models from 'Pilot' to 'Production' to 'Retirement' in the enterprise inventory system