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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Agentic AI on Azure: Building Intelligent Automation That Scales for Microsoft Partners
Microsoft's AI ecosystem has never been more powerful — but knowing how to architect, deploy, and operationalize agentic AI solutions on Azure is what separates partners who demo well from partners who deliver real business outcomes for their clients.
In this session, Jay Balaji, Director of AI/ML Engineering at Flextecs, walks Microsoft partners through a practical framework for building and selling enterprise-grade agentic AI solutions using the Microsoft stack. From Azure OpenAI Service and Copilot Studio to Azure AI Foundry and Semantic Kernel, Jay shares what it actually takes to move agentic AI from proof of concept into production — and how partners can differentiate their practice in an increasingly competitive AI market.
Key takeaways:
How to architect multi-agent pipelines on Azure that enterprise clients can trust and maintain
Practical patterns for combining Azure OpenAI, Semantic Kernel, and Azure AI Foundry for agentic workflows
How to build observability and governance into AI solutions from day one — a key enterprise buying requirement
Real-world lessons from deploying agentic AI at Fortune 500 scale across financial services and healthcare
How Microsoft partners can position agentic AI as a high-value, recurring managed service offering
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.
Atlanta Cloud+AI Conference 2026 Sessionize Event
IAMCP Atlanta Knowledge Days User group Sessionize Event
Jayavelu Balaji
Director of AI/ML Engineering ,Flextecs
Atlanta, Georgia, United States
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