Vijay Seshadri
Vijay Seshadri is the Chief Architect at JioStar, where he leads the product architecture and system design strategy for JioHotstar, the network’s flagship digital streaming platform. With over 25 years of experience across enterprise security, e-commerce, and large-scale distributed systems, Vijay defines the structural blueprint that powers one of India’s most advanced streaming ecosystems.
At JioHotstar, Vijay drives the evolution of the platform’s core architecture frameworks, ensuring scalability, reliability, and intelligent design across devices. He also leads the platform’s Generative AI technology strategy, designing the architecture that enable new applications, personalized experiences, and business innovations built on AI-driven capabilities. His work bridges deep system engineering with product vision, shaping the foundation for next-generation entertainment experiences that are seamless, secure, and capable of serving millions concurrently. Before joining JioStar, Vijay served as Senior Vice President and Engineering Fellow at Swiggy, where he led the architecture and system design for its hyperlocal e-commerce platform. Prior to that, he spent over a decade at Amazon, spearheading innovations in AWS security and digital payments infrastructure, and at Symantec, where he was Chief Architect and Distinguished Engineer. He was the lead architect of Symantec Insight, a reputation-based security technology that earned The Wall Street Journal Technology Innovation Award in 2010. An alumnus of the Indian Institute of Technology, Bombay, where he earned his Master’s in Computer Science, Vijay brings global expertise in building high-performance, scalable, and intelligent technology systems. His leadership continues to guide JioHotstar’s transformation into a future-ready, cloud-native platform that seamlessly blends performance, personalization, and innovation at scale.
JioStar
Chief Architect
Session
Scaling AI in production requires more than powerful models - it demands thoughtful system design and architectural trade-offs. In this session, we explore how JioHotstar builds AI systems that serve millions by balancing three critical constraints: accuracy, cost, and latency. We'll examine how models fit within larger systems, why traditional validation approaches fail for stochastic AI components, and the engineering patterns needed to operationalize intelligence at scale. From data pipelines to personalized discovery engines, we'll share a practical blueprint for building scalable AI applications that work in the real world. Join us for an engineering-focused look at transforming infrastructure into intelligent systems through open-source ecosystems and pragmatic architectural choices.