Description

As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.

As part of the Agentic WorkSpaces organization, we empower millions of professional users—spanning enterprises, research institutions, and government agencies—through AWS WorkSpaces, a cloud-based desktop and application management platform. Our mission is to redefine productivity for users navigating complex legacy application environments by deploying agentic AI solutions that bridge the gap between generative AI and real-world enterprise workflows.

We combine Amazon’s deep operational expertise with a relentless focus on innovation to deliver systems that are robust, scalable, and intuitive. The Senior Software Development Engineer (SDE3) will lead the design and development of a centralized data platform and LLM-driven agent ecosystem that captures, processes, analyzes user interactions, and deploys scalable AI capabilities within AWS WorkSpaces. This role balances data engineering, AI/ML infrastructure, and product strategy to empower teams with insights and AI tools that improve customer experience, drive adoption, and optimize legacy workflows.

Key job responsibilities
* Architect and lead development of a scalable data platform to capture and process user interactions in AWS WorkSpaces, enabling data-driven insights for product and AI teams.

* Design data collection strategies aligned with privacy/compliance, and build pipelines to transform raw data into actionable metrics (e.g., feature adoption, pain points).

* Develop and scale LLM-driven agents for legacy application environments, establishing best practices for fine-tuning, evaluation, and deployment via AWS services (e.g., Bedrock, SageMaker).

* Collaborate cross-functionally with AI/research teams to integrate data insights into model training and agent optimization, driving measurable improvements in customer experience.

* Lead roadmap planning, assessing existing capabilities and prioritizing new data/AI initiatives to support evolving product goals.

A day in the life
Agentic WorkSpaces AI is the core science and engineering team for AWS WorkSpaces, building LLM-driven agents that automate tasks in legacy application environments—where modern AI struggles. This SDE3 sits at the intersection of data engineering, AI infrastructure, and product strategy. You will not only design and build the technical foundation for a unified data platform, but also lead the development and scaling of LLM-driven agents that transform how users interact with legacy applications. Your work will require engineering rigor, cross-team communication, and customer empathy—translating technical possibilities into business value while establishing scalable, repeatable processes for innovation.

About the team
ABOUT AWS:

Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness.

Mentorship and Career Growth
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