Knowledge and Skills: Expert knowledge of enterprise AI architecture and modern software engineering, including LLM and model integration, model gateways, agent frameworks, tool/function calling, RAG and enterprise knowledge architectures, embeddings/vector search, context and state management, evaluation frameworks, observability, guardrails, human-in-the-loop design, identity and authorization, API architecture, cloud platforms, CI/CD, secure deployment, performance, resilience, and cost management. The AI Architect provides technical direction for large language models, agentic systems, retrieval-augmented generation, enterprise knowledge, model and provider integration, tool orchestration, identity and access, voice and conversational AI, observability, evaluations, guardrails, human oversight, and AI platform services.