Jayavelu Balaji
Director of AI/ML Engineering ,Flextecs
Atlanta, Georgia, United States
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Jayavelu Balaji (Jay) is Director of AI/ML Engineering at Flextecs, where he leads enterprise LLM platform strategy, agentic AI systems, and intelligent automation at scale.
With over a decade of experience across financial services, healthcare, and fintech, Jay has architected and shipped production-grade AI systems for Fortune 500 organizations. At JP Morgan Chase, he designed autonomous multi-agent pipelines that cut workflow execution time by 81% and improved document data accuracy by 50%. He has held AI/ML engineering leadership roles at Credit Karma, DrFirst, and Coforge, building across AWS, GCP, and leading LLM platforms including Anthropic Claude and AWS Bedrock.
Jay holds a Post-Graduate certification in AI/ML from the University of Chicago and an MS in Computer Science from Illinois Institute of Technology. He is passionate about making enterprise AI practical, observable, and production-ready.
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Building Enterprise-Grade Agentic AI Systems: From Architecture to Production
Agentic AI is moving fast — but most organizations are still figuring out how to take it beyond demos and into production. In this session, Jayavelu Balaji, Director of AI/ML Engineering at Flextecs, shares hard-won lessons from designing and deploying autonomous multi-agent systems at Fortune 500 scale.
You will walk away with a concrete understanding of how to architect reliable agentic pipelines, how to select and orchestrate LLMs for real-world workflows, how to build observability into your agents from day one, and how to manage the operational complexity of running agents in production. Drawing from real deployments across financial services and enterprise automation, this session bridges the gap between agentic AI theory and what it actually takes to ship.
Jayavelu Balaji
Director of AI/ML Engineering ,Flextecs
Atlanta, Georgia, United States
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