Arjun Shivarudraiah
Architectural Judgment in AI-Driven Cloud Platforms
Abstract:
Artificial Intelligence is reshaping enterprise cloud systems, but the success of AI-driven platforms depends on disciplined architectural decision-making. This keynote explores how architectural judgment becomes critical in designing scalable, resilient, and secure AI-enabled enterprise systems. It examines trade-offs involving data pipelines, model deployment strategies, real-time inference scaling, governance, and infrastructure cost control. Drawing from large-scale retail and financial cloud environments, the session highlights how AI amplifies architectural complexity and risk, making responsible system design more important than ever.
Profile:
Arjun Shivarudraiah is a Senior Software Engineer at Meijer with over 10 years of experience designing and modernizing large-scale enterprise cloud systems. My work focuses on distributed architectures, AI-enabled platforms, financial transaction systems, and resilient cloud infrastructure supporting mission-critical retail and fintech environments. I have contributed to scalable cloud adoption strategies, security-focused architectural frameworks, and AI-driven system design across enterprise settings, with an emphasis on balancing innovation, security, cost efficiency, and long-term sustainability.