Swami Sivasubramanian

He earned a computer science Ph.D. from Vrije Universiteit Amsterdam in 2006. In Amazon’s retrospective interview, he describes being drawn to Amazon by the scale of its engineering problems. The same interview discusses how customers’ need to keep applications available shaped the database work that followed.[3]

From distributed systems to cloud AI

Sivasubramanian joined Amazon in 2005. Amazon’s account of DynamoDB traces that start to a research engineering internship while he was pursuing his doctorate. He later helped build the company’s database and machine-learning services, including SageMaker and Bedrock, and joined Amazon’s senior leadership team in September 2023. The record connects his AI leadership to earlier work on the systems that store and serve application data.[1][3]

A wider agentic-AI remit

In his 2026 role announcement, Sivasubramanian says he now leads Agentic AI and Emerging Technologies and works across AWS teams on AI strategy and technical direction. He names Kiro, Quick and AWS Transform among the teams he continues to lead. The expanded remit adds responsibility for work that does not yet fit an established team, including the areas he calls neurosymbolic AI and AWS Context.[4]

Sivasubramanian co-authored the original 2007 Dynamo paper and the 2022 DynamoDB systems paper. The latter explains a managed database service designed for predictable performance, availability and durability at large scale. A managed service transfers much of the operational work from an application team to the provider. These papers are a useful route into his engineering record because they expose system design decisions beyond a product launch or executive title.[6][5]