Maneesh Kumar is an AI Architect, enterprise technology leader, and author with over 11 years of experience building production-grade AI systems for global organizations. He has held senior technical roles across multiple enterprises — leading large-scale AI and cloud transformation programmes across the BFSI, healthcare, logistics, legal, and HR sectors across the globe.
At Microsoft, Maneesh worked at the intersection of enterprise AI and cloud architecture — designing systems that helped organizations harness the full potential of Azure's AI platform. Across his career, he has architected and delivered end-to-end AI solutions at scale, from enterprise RAG pipelines and multi-agent orchestration frameworks to production deployments on Azure OpenAI, Azure AI Search, Cosmos DB, and AKS — helping organisations move from AI experimentation to real-world production with confidence.
Maneesh is the author of From Prompts to Agentic AI: Building Agentic AI & Enterprise RAG Systems on Azure — a hands-on engineering guide for architects and developers who want to ship production-ready AI systems. The book covers 10 complete end-to-end Azure AI projects across enterprise domains, with full code, architecture diagrams, deployment scripts, and cost breakdowns, bridging the gap between AI demos and systems that actually work in production.
A prolific writer and knowledge-sharer, Maneesh regularly publishes articles and insights on Generative AI, agentic systems, and enterprise AI architecture across multiple platforms — helping thousands of AI practitioners, engineering leaders, and technology enthusiasts stay ahead in a rapidly evolving field.
Passionate about making production AI engineering accessible, Maneesh translates cutting-edge research into practical, battle-tested patterns that engineering teams can adopt with confidence.
Maneesh is based in Bengaluru, India.