End-to-end design and implementation of production-grade RAG pipelines, LLMOps infrastructure and agentic AI systems for enterprises moving beyond pilots. What this covers: RAG architecture (retrieval strategy, chunking, embeddings, vector DB selection); LLMOps pipelines for evaluation, monitoring, cost control and prompt/version management; agentic workflow design with guardrails; and a hands-on build or architecture review with your engineering team. Delivered as a scoped project (typically 3-6 weeks) with a clear architecture document, reference implementation, and handover to your team. Backed by hands-on delivery experience building agentic automation and RAG systems inside a 200+ practitioner GenAI Centre of Excellence.