Designing secure, scalable AI and agentic architectures that integrate probabilistic AI with deterministic rules, workflows and controls, incorporating required models, data, grounding, enterprise context, tools, integrations, permissions, human oversight and observability. Deep expertise in applied generative AI architecture, including large language models, agentic and multi-agent patterns, retrieval-augmented generation, context engineering, knowledge grounding, prompt and tool design, orchestration and human-in-the-loop controls.