Software Engineer II, Associate Experience
✨ AI Summary
Amazon is hiring a Software Engineer II in Hyderabad to define and build the Associate Context & Insights platform for its Customer Service organization. The role involves designing end-to-end architecture for a new product space that leverages AI and data signals to improve associate performance. No specific tech stack or years of experience are listed, but the position requires strong architectural skills and cross-functional partnership with Engineering, Science, and Business Intelligence teams.
Amazon Customer Service handles hundreds of millions of customer contacts each year across every Amazon business. Our Associate Experience organization owns the products, platforms, and AI systems that determine how Customer Service Associates (CSAs) onboard, learn, receive coaching, improve performance, and collaborate with AI to deliver exceptional customer outcomes.
As Customer Service evolves, associates will increasingly solve sophisticated customer problems while AI automates routine interactions. This requires fundamentally reimagining how Amazon develops, supports, and continuously improves one of the world’s largest workforces.
We are seeking a Software Engineer to define and build the Associate Context & Insights platform, creating a continuously evolving representation of associates from signals across the associate lifecycle and making that context reusable across CS products.
This SDE will will work with a team of highly capable engineers to define the architecture for the Associate Context & Insights platform, and own the system end to end from design, implementation, testing, and deployment. The current platform does not exist in the form it needs to, providing a rare opportunity to define an entirely new product space.
This is a highly strategic role requiring close partnership with Engineering, Science, Business Intelligence, UX, Operations, Routing, Workforce Planning, and senior leaders across Customer Service.
Key job responsibilities
> Define the long-term architecture for Associate Context & Insights platform
> Establish engineering excellence standards for the team
> Deliver the minimum viable product incrementally
> Influence senior leadership on long-term investments that improve associate capability, customer outcomes, and operational efficiency.
> Partner closely with Engineering, Applied Science, and Business Intelligence to continuously improve the product
About the Company
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