Deep practical expertise in enterprise AI architecture, including strong capability across most of the following areas: LLM and GenAI solution design, including model selection, prompt and context design, grounding, tool use, structured outputs and scalability trade-offs. Secure and responsible AI architecture, including access control, data classification, data leakage prevention, prompt injection risk, secure model and API access, auditability, vendor risk, data residency, IP protection and safe use of proprietary engineering knowledge.