Lead the design and implementation of enterprise-grade AI solutions leveraging large language models, retrieval-augmented generation (RAG), AI agents, orchestration frameworks, machine learning and emerging technologies, with deep engagement across solution architecture, data integration, knowledge and semantic layers, model and platform selection, AI/ML engineering, security considerations and production deployment. Provide technical and delivery leadership across generative AI, agentic AI, machine learning and intelligent automation, translating business opportunities and workflow challenges into scalable capabilities and making or guiding key decisions across solution architecture, model and platform selection, data and knowledge architecture, orchestration, evaluation and production engineering.