Umesh C Gupta

About Umesh C Gupta

I am an Enterprise AI & Generative AI leader with 25+ years of experience driving large-scale digital, cloud, and AI transformations for Fortune 100 organizations across highly regulated industries, including healthcare, financial services, and hospitality.My work is focused on production-grade Generative AI—not experimentation. I lead the design and delivery of governed, scalable AI platforms using LLMs, RAG architectures, AWS Bedrock, LangChain, LangGraph, and agent-based workflows, ensuring alignment with business objectives, data privacy, security controls, and regulatory expectations.I have led global teams of 200+ engineers and architects, managed $50M+ portfolios, and am frequently engaged to stabilize high-risk (RED) programs, restore executive confidence, and deliver measurable outcomes including double-digit cost efficiencies through automation, AI-driven insight, and early risk detection.My background spans AI architecture, deep engineering, and production operations, enabling me to build AI systems that are safe, observable, auditable, and enterprise-ready. I work closely with C-suite, risk, legal, and security leaders to translate strategy into clear, executable roadmaps across Generative AI, cloud, and large-scale modernization initiatives.Core focus areas include:• Enterprise Generative AI platforms (RAG, agents, and multi-step workflows using LangChain & LangGraph)• Agent safety, guardrails, tool access controls, state management, and human-in-the-loop oversight• AI governance frameworks covering data privacy, model risk, prompt controls, auditability, and regulatory compliance• Secure AI integration with enterprise identity, access management (IAM), and data isolation patterns• Cloud, microservices, and platform modernization (AWS, Kubernetes)• Production readiness, SRE, observability, and AI cost optimization• Executive advisory and transformation leadershipI am passionate about turning Generative AI into trusted, compliant, and measurable business impact, helping organizations deploy AI responsibly while managing risk, regulatory exposure, and operational complexity at scale.

Experience

1. Enterprise Cloud & Ai Architect Program Director

   Tata Consultancy Services

   Nov 2024 — Present · MD, US

   Led enterprise-scale GenAI and cloud transformation programs for regulated Fortune 100 clients including healthcare and financial services-Architected production-ready GenAI platforms using AWS Bedrock, RAG, LangChain, and structured outputs for document intelligence and decision support-Designed AI governance frameworks covering guardrails, data privacy, auditability, and cost optimization-Modernized 400+ microservices, improving security posture, delivery reliability, and operational resilience-Stabilized multiple high-risk engagements, restoring executive confidence and enabling double-digit cost efficiencies.

Education

• Pune Institute of Computer Technology

  Master in Computer Management (MCM), MIS, SE, Project Mgmt

  1997 — 1999

• Guru Nanak Dev University

  Bachelor in Computer Science , Mathematics, Economics and Computer Science

• Guru Nanak Dev University

  Bachelor’s Degree, Computer Science, Math, Economics

  1994 — 1997