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LinkedIn influencers

Swami Sivasubramanian

VP, AWS Agentic AI

Top VoiceBusinessUnited StatesGreater Seattle AreaView on LinkedIn

Followers

210,479

Typical engagement per post

558

Average comments per post

19

How often they post

Every 2 days

Profile figures as of October 2026.

About

I run Agentic AI in AWS. My team has launched numerous agentic capabilities that are reshaping the AI landscape. Amazon Quick, launched in October 2025, is AWS's flagship agentic AI application that helps employees transform how they find insights, conduct deep research, automate tasks, visualize data, and take actions across apps. Kiro, the first AI coding tool built around specification-driven development, has been adopted by over million developers and rapidly growing. The agentic stack also includes Amazon Bedrock AgentCore, a comprehensive suite of capabilities for building production-ready AI agents, which launched with features including AgentCore Runtime, Memory, Identity, Code Interpreter, Browser Tool, Gateway, and Observability. Additionally, his team launched DevOps Agent for automating infrastructure operations and Security Agent for proactive threat detection and response. Amazon Transform, AWS's AI-powered data transformation service also includes Transform Custom, an AI-powered code transformation agent that enables customers to create custom code transformation agents for automating organization-specific code maintenance and evolution tasks at scale.  I have been awarded (or filed for) more than 250 patents, authored around 40 referred scientific papers and journals, and participate in several academic circles and conferences. In addition to these, I was part of the team that built several AWS Services like CloudFront, Amazon RDS, Amazon S3, Amazon's Paxos based lock service, original Amazon Dynamo etc. I was also one of the main authors for Amazon Dynamo paper (http://bit.ly/1mDs0Yh) along with Werner Vogels. Amazon Dynamo now is the foundation for many other NoSQL systems like Riak, Cassandra and Voldemort.

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