Sreeram Madhu Chintalapudi
Ai Architect Lead Advisor - Director @NTT DATA
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WORK HISTORY
Ai Architect Lead Advisor - Director @NTT DATA
Houston, TX, US
Architected Enterprise Agentic Grid (EAG)- AI agentic platform enabling autonomous agents with shared memory, semantic knowledge graphs, and enterprise-wide context using RDF ontologies and FAIR principlesWorking with 5+ strategic client implementations across manufactuing, healthcare, and financial services - designed agentic solutions for procurement automation, master data management, and compliance workflowsBuilt semantic foundation layer with temporal querying, provenance tracking, policy enforcement, and security controls - establishing trustworthy AI operations at enterprise scaleLed agentic workflow orchestration using actor model and event-driven architecture - enabling multi-step business process automation with human oversight and real-time adaptationDrove product adoption through executive demos to Fortune 500 clients and internal sales teams - positioned platform capabilities and expanded pipeline across multiple verticalsEstablished reusable frameworks including reference architectures, ontology libraries, and MCP integration patterns - accelerating client delivery timelines by 40%Provided technical leadership across concurrent programs - ensuring architectural consistency, best practices, and successful production deployments
EDUCATION
MIT Sloan School of Management
Professional Certificate, DataScience and Analytics
Widener University
Master of Engineering - MEng, Electrical and Electronics Engineering
Andhra University
BE, Electrical and Electronics
ABOUT SREERAM MADHU CHINTALAPUDI
Director, AI Architect & Lead Advisor with 22 years leading enterprise AI transformation at scale. Currently architecting NTT Data\'s Enterprise Agentic Grid (EAG) — a full-stack AI agentic platform enabling autonomous agents with semantic knowledge graphs, shared memory, and enterprise-wide context. Delivered strategic agentic solutions for Fortune 500 clients across automotive, healthcare, financial services, and manufacturing.Expert in agentic AI systems, Gen AI, semantic technologies (RDF ontologies, FAIR principles, temporal querying), and multi-agent orchestration. Deep hands-on expertise in data science, cloud computing, big data, and policy-driven AI governance. Strategic advisor on digital transformation, M & As, and operational efficiency — building trustworthy, explainable AI systems that bridge human expertise and machine intelligence.
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