Naman Bhatt

Director of AI, Data and Cloud Engineering

Noida, Uttar Pradesh, India

About

Visionary Technology Executive with 17+ years of experience architecting and delivering enterprise-scale AI/ML and cloud solutions. Proven track record of building and leading high-performance engineering organizations of 50+ personnel across global geographies.

A "Player-Coach" leader who combines strategic C-level advisory with hands-on technical authority in Generative AI, Python, RAG architectures, and Cloud-Native platforms (AWS/Azure). Expertise in operationalizing "Data as a Product" strategies, optimizing multi-million dollar cloud budgets via FinOps, and establishing robust MLOps governance frameworks.

Successfully led major digital transformations, including the migration of petabyte-scale data ecosystems and the implementation of Responsible AI guardrails. Certified Enterprise Architect (TOGAF 9.2) and AWS Professional Solution Architect with a passion for driving innovation at the intersection of AI and enterprise architecture.

Experience

Senior Manager – MLOps, DataOps & AI Engineering

Trajector

2025 – Present
  • Enterprise AI Strategy & Governance: Architected enterprise-grade AI Gateway with unified control plane for LLM interactions
  • Generative AI Product Delivery: Directing flagship AI products including Entity Extraction Pipeline and Intelligent Document Creation
  • LLM Evaluation & Quality: Pioneered "Golden Dataset" strategy, reducing hallucinations and improving accuracy by 30%
  • Cloud Cost Optimization: Led migration to Amazon MWAA, achieving 50% reduction in orchestration costs
  • Data Platform Modernization: Spearheaded "Data as a Product" initiative with Snowflake as enterprise Source of Truth

Manager Enterprise Architect – Cloud & AI/ML

Ameriprise Financial Services

2020 – 2025
  • Executive Leadership: Built and mentored high-performing team of technical architects and engineers
  • Cloud-Native AI Architecture: Designed cloud strategy for ML workloads using AWS SageMaker, Bedrock, and Azure OpenAI
  • Hybrid Cloud Implementation: Architected complex hybrid environments with banking-grade security compliance
  • Data Ecosystem Orchestration: Managed petabyte-scale workflows across AWS Glue, Athena, S3, and Snowflake
  • Innovation Leadership: Drove POC initiatives for Vector Databases and RAG architectures

Cloud Architect & Delivery Leader

IBM

2013 – 2020
  • Large-Scale Team Management: Managed 50+ employees across global geographies
  • Service Delivery Excellence: Accountable for SLA attainment and platform resiliency for enterprise clients
  • Crisis Management: Led rapid response teams for critical incident resolution

Early Career Progression

HCL Technologies, Patni Computer Systems, Infosys

2008-2013
  • Rapid progression from Assistant Engineer to Senior Specialist
  • Foundation in enterprise infrastructure and system engineering

Core Competencies

Strategic Leadership

AI/ML Strategy Roadmap C-Suite Stakeholder Management Team Leadership (50+ FTEs) P&L & Budget Management Agile/Scrum Delivery

AI & Machine Learning

Generative AI (LLMs) Agentic AI Workflows RAG & Vector Databases Golden Dataset Evaluation MLOps & Model Governance Responsible AI & Ethics

Data & Cloud Architecture

Enterprise Data Platforms AWS & Azure Cloud Solutions Active Metadata & Lineage Data as a Product Strategy FinOps & Cost Optimization Hybrid Cloud Security

Technical Stack

Python (Pandas, PyTorch, LangChain) AWS (SageMaker, Bedrock, MWAA) Snowflake & Vector DBs Docker, Kubernetes, Terraform Atlan (Active Metadata)

Education & Certifications

Program of Chief Technology Officer (CTO)

IIT Delhi

Completed 2024

Technology Strategy, Executive Leadership, Innovation Management

Master of Computer Applications (MCA)

Punjab Technical University

2012

Computer Applications & Software Engineering

B.Sc.(Hons)

Delhi University

2008

Science

Professional Certifications

AWS Certified Solutions Architect – Professional TOGAF 9.2 Certified Enterprise Architect IBM Blockchain Essentials

Subscribe to My Enterprise Weekly Newsletter

Subscribe on LinkedIn

Dashboards & Analytics

AIOps Adoption India

AIOps adoption in Indian Enterprise

Strategy Success Stories Analysis
View Dashboard

Contact

Get in Touch

Let's discuss enterprise architecture, MLOps strategies, or potential collaboration opportunities.

Location: Greater Noida, Uttar Pradesh, India