Dhruvan G.

About Dhruvan G.

Senior Enterprise Data, AI & Agentic AI Engineering leader with 19+ years of experience driving large-scale business and technology transformation across Banking, Payments, Healthcare, Automotive, and Public Sector domains. Proven track record of architecting modern data platforms, scalable AI ecosystems, and production-grade AI infrastructure aligned to measurable business and commercial outcomes.Deep expertise in Data Engineering, lakehouse and Data Mesh architectures, and enterprise AI platform modernization leveraging Azure, Databricks, Fabric, and hybrid cloud environments. Lead end-to-end design and deployment of predictive analytics, GenAI, and Agentic AI systems integrating foundation models (Claude, Gemini, Mistral, GPT-class), RAG architectures, multi-agent orchestration (e.g, CrewAI), and enterprise copilots embedded into core business workflows.Strong focus on Agentic AI Engineering — designing autonomous workflow systems, tool-chaining architectures, knowledge retrieval layers, and secure guardrails to transition AI from experimentation to scalable enterprise automation. Establish AI operating models, Responsible AI governance frameworks, and MLOps/LLMOps standards ensuring model validation, explainability, bias controls, and drift monitoring at scale.Built and scaled global Data & AI engineering organizations of 90+ senior engineers and architects, delivering $80M+ transformation programs across domestic and international markets. Operate at the intersection of business strategy and deep engineering execution — driving platform modernization, GPU-optimized AI infrastructure adoption, and enterprise-grade AI deployment with strong commercial accountability.Recognized as a senior transformation leader combining engineering depth, AI innovation, and global stakeholder leadership to enable sustainable, AI-driven enterprise growth.Core Specialties -Enterprise Data Engineering | Agentic AI Engineering | AI Infrastructure & GPU Optimization | GenAI & Foundation Models | Data Mesh & Lakehouse Architecture | Responsible AI & Governance | MLOps & LLMOps | Global Team Leadership (90+)| AI Operating Models & CoE Build | P&L & Transformation Leadership

Experience

1. Senior Director Data, Ai & Agentic Ai Engineering

   NTT DATA, Inc.

   Jul 2025 — Present · IN

   Leading global Data Engineering and AI transformation programs, architecting enterprise-scale platforms that enable predictive analytics, GenAI, and intelligent workflow automation across regulated industries- Designing modern lakehouse and Data Mesh architectures leveraging Azure Databricks, Microsoft Fabric, Snowflake, and hybrid cloud ecosystems to build governed, AI-ready enterprise data foundations- Driving advanced data engineering and analytics practices including scalable batch/streaming pipelines, feature stores, DataOps frameworks, and performance-optimized platforms supporting ML and LLM workloads- Leading Agentic AI engineering initiatives integrating foundation models (Claude, Gemini, Mistral, GPT-class), enterprise copilots, AWS Bedrock, RAG architectures, and multi-agent orchestration frameworks (e.g, CrewAI) into secure production environments- Modernizing AI infrastructure with GPU-accelerated cloud environments and AI chip optimization strategies; establishing enterprise AI operating models, Responsible AI governance, and MLOps/LLMOps standards for scalable deployment- Building and scaling a 60+ senior Data & AI engineering organization and owning P&L for global consulting engagements, partnering with C-suite and hyperscaler ecosystems to deliver measurable, business-outcome-driven transformation across domestic and international markets.

Education

• Vividhlakshi Vidhyamandir, Palanpur, Gujarat

  HSC, Sceince

  2001 — 2002

• Indian School of Business

  Executive Leadership, Artificial Intelligence

• Atmiya Insititute of Technology & Science

  Bachelor of Engineering (B.E.), Computer Science

  2002 — 2006