Bharat Saxena

About Bharat Saxena

Enterprise AI Architect with 20+ years building and scaling intelligent systems that drive organizational transformation. Specializes in translating complex business challenges into robust, production-ready AI platforms while establishing technical excellence standards across engineering organizations. Proven track record designing end-to-end ML architectures, implementing enterprise governance frameworks, and building high-velocity teams that deliver measurable impact at scale.Deep expertise spanning generative AI, knowledge systems, and distributed computing ensures solutions are both strategically aligned and technically sound. Known for bridging the gap between cutting-edge research and pragmatic implementation, creating the technical foundation that enables sustainable AI innovation across the enterprise.

Experience

1. Lead Ai Architect

   NTT DATA, Inc.

   Apr 2024 — Present

   Enterprise AI Strategy & Architecting enterprise-scale AI and machine learning solutions across BFSI, hospitality, and logistics and supply chain sectors, designing multi-agent systems, LLM-powered applications, advanced analytics platforms, designing predictive models, and anomaly detection systems that transform critical business operations Built next gen customer service platform for global hotel chain, architecting agentic AI systems that enable progressive automation of customer interactions, driving the organization toward operational autonomy while enhancing response accuracy and guest satisfaction Designed and implemented multi-agent insurance platform for multinational insurance corporation, automating policy issuance and renewal processes through sophisticated agent orchestration, streamlining complex underwriting workflows across multiple countries Established AI Center of Excellence for major logistics enterprise, defining AI governance frameworks, standardizing development processes, and creating repeatable methodologies for large-scale AI deployment across global operations Led technical architecture and strategy for enterprise clients across multiple industries, translating complex business requirements into production-ready AI systems while ensuring scalability, security, and regulatory complianceKey areas: Enterprise AI Architecture, Multi-Agent Orchestration, LLM Application Design, Knowledge Graph Systems, Graph Database Architecture, Production MLOps

Education

• Birla Institute of Technology and Science, Pilani

  Master of Technology - MTech, Data Science and Engineering

  2019 — 2021

• International Institute of Information Technology Bangalore

  Post Graduate Diploma, Data Science

  2018 — 2019

• Devi Ahilya Vishwavidyalaya

  B.E., Electronics and Telecommunication

  2001 — 2005

Skills

• Requirements Analysis
• Rexx
• Software Project Management
• Vsam
• Cobol
• Clist
• Jcl
• Mainframe
• Db2
• Assembler
• Business Analysis