Rahul Sarkar
AVP-Principal AI Architect @EXL | GenAI/Agentic AI Lead | Retail/CPG |CX Transformation| Sales & Commerce | Supply Chain | Healthcare & Life Sciences | Agentic AI Architect | Ex-ZS, IQVIA, Carelon, Accenture |BITS Pilani
Greater Bengaluru Area
5+ years of work experience
Feb 20251 yr 7 mosPresent
Bengaluru
AVP | GenAI Capability Lead | AI COE Lead | AI Practice Lead | Principal AI Architect | CX Digital | Enterprise Delivery Lead
• Led AI, GenAI, Agentic AI, Data Science, and Digital Transformation programs across Healthcare, Pharma, Insurance, Banking, Financial Services, and CX domains, managing portfolios exceeding $10M+.
• Built and scaled AI CoEs, Responsible AI frameworks, reusable accelerators, and SaaS products including Training.AI, Smart Agent Assist (SAA), CXLoop.AI, EXLFluid.AI (multi-tenant SaaS), and Autonomous Agents.
• Served as Principal AI Architect, defining AI strategy, reference architectures, AI platforms, model serving, vector search, evaluation frameworks, deployment standards, memory architectures, and AI roadmaps.
• Architected and deployed GenAI, Agentic AI, Multi-Agent Systems, RAG, Conversational AI, AI Copilots, and Intelligent Automation solutions across Google Cloud, AWS, Azure, NVIDIA, LangChain, LangGraph, Neo4j, and MCP.
• Led GenAI R&D across NVIDIA PersonaFlex, Claude workflow automation, AI Agents, Copilots, and Graph AI, building reusable IP, accelerators, PoCs, demos, and GTM assets.
•Established best practices for retrieval optimization, prompt engineering, reranking, hallucination mitigation, AI evaluation, Responsible AI, governance, security, compliance, observability, and AI guardrails.
• Drove AI Platform Engineering, LLMOps/MLOps, CI/CD, deployment automation, monitoring, latency optimization, token optimization, memory management, model routing, caching, inference optimization, fine-tuning, autoscaling, scalability, and cost optimization.
• Directed e2e delivery spanning strategy, solutioning, architecture, engineering, deployment, commercialization, operations, and stakeholder management.
• Led global teams across AI Engineering, Product Management, Data Science, Architecture, Platform Engineering, and Delivery while driving executive advisory, business development, technology strategy, AI adoption, and business value.
Oct 20244 mosJan 2025
Bengaluru, Karnataka, India
Role: Staff ML Architect | Staff AI Architect | Staff Data Scientist | Gen AI Architect
• Technical Design, Implementation: Building Qlik Sense Conversational Assistant at Qlik R&D to integrate for multi LLM support. Building Agentic workflow of double texting, Token streaming in Assistant API agents of Qlik Sense.
• Technical Expertise: AI architecting, design, Leveraged expertise in LLMs, deep learning architectures, and generative AI techniques
(Bedrock, GPT, open source LLMs,). Contributed to scalable, resilient, and ethical AI solutions as a subject matter expert in Generative AI.
Jun 20246 mosNov 2024
Remote
• Collaborated with learners to drive Gen AI-LLM sessions on LLM Benchmarking.
• Created and reviewed assignments and quizzes to enhance learning outcomes.
• Supervised candidates and conducted engaging brownbag sessions to foster knowledge sharing.
Sep 20222 yrs 2 mosOct 2024
Bengaluru
Strategic AI Leadership: Leading $15M engagement, architecting and delivering an Agentic RAG framework for Patent & Safety Authoring in Pharma & Biotech.
AI-Driven Supply Chain Delivery and Innovation: Designing and deploying Canary Asset/Accelerator, providing a comprehensive view of supply chain risks in manufacturing.Leading $2M engagement in large pharma client in supply chain related usecases like Demand forecasting , Inventory Prediction for the products.
Enterprise AI & Market Intelligence: Led Atlas Market Intelligence – Beyond Healthcare (BHC), leveraging LLM-based Generative AI for B2B & B2C insights.
AI Solution Architecting & Delivery: Expertise in designing scalable AI/ML solutions, integrating LLMs, NLP, and advanced analytics into enterprise workflows.
Generative AI & NLP Solutions: Delivered LLM-based AI solutions for Health Plan & Provider Practice (HPP), including Patient Cohort AI prototypes in AI-COE.
AI Strategy & Technical Roadmap: Partnered with senior executives to define the Data Science Roadmap, shaping AI governance, policies, and methodologies.
End-to-End AI Design & Implementation: Led full-cycle AI product development, from architecture to deployment, ensuring scalability and business impact.
Commercial AI Impact: Executed AI/ML strategies for 20+ BHC & Pharma clients, contributing to AI-driven revenue.
AI Centers of Excellence: Established and scaled AI & Data Science COEs, driving enterprise-wide AI adoption.
Scaling AI Talent: Built and scaled AI teams from 7 to 60+ FTEs, delivering high-impact AI products and solutions.
Sep 20211 yr 1 moSep 2022
Bengaluru, Karnataka, India
¶ Role: || Senior AI Manager | Sr. AI Engineer | Data Scientist | Data Science Manager | Lead Data Scientist | Sr. AI Engineer | ML Engineer ||
¶ Skills: Machine Learning · Deep Learning · Artificial Intelligence · TensorFlow · Pytorch· AWS· Feature Prioritization · Stakeholder Management · Product Road Mapping · Roadmap Building· Delivery Releases
¶ Responsibilities :
• Developed scalable product development solutions in the field of AI-ML/NLP to extract valuable information from unstructured data in clinical trials. Leveraging cutting-edge algorithms such as SOTA, BERT, AWS SageMaker endpoints, and an Active Learning Pipeline for deployment.
• Developed and executed AI strategies aligned with organizational goals, identifying opportunities for AI implementation, and determining the potential impact of AI technologies on business operations.
• Oversaw data acquisition, preparation, and annotation processes to ensure high-quality and relevant data for training and validating AI models.
• Managing a Development team of 10 Data Scientists ,ML Engineers, 2 backend software engineers and 1 lead Software Engineer to integrate with Salesforce UI. Led the entire product Development and delivered for each releases.
• Identified and mitigated risks associated with AI projects, such as data biases, model interpretability, and security vulnerabilities.
Rahul’s AI Stack
Education
Master's degree, Data Science and Engineering
Birla Institute of Technology and Science, Pilani
20212 yrs2023
Bachelor of Technology (B.Tech.), Electronics and Communications Engineering
West Bengal University of Technology, Kolkata
20074 yrs2011
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