SDE3, Agentic WorkSpaces AI

As part of the AWS Applied AI Solutions organization we have a vision to provide business applications leveraging Amazons 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 Amazons 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 usersspanning enterprises research institutions and government agenciesthrough 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 Amazons 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 environmentswhere 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 empathytranslating technical possibilities into business value while establishing scalable repeatable processes for innovation.

About the team
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- 5 years of non-internship professional software development experience
- 5 years of programming with at least one software programming language experience
- 5 years of leading design or architecture (design patterns reliability and scaling) of new and existing systems experience
- Experience as a mentor tech lead or leading an engineering team

- 5 years of leading development of applications backed by AWS services or using other cloud based technologies and services experience
- Experience debugging profiling and implementing best software engineering practices in large-scale systems or experience in developing and deploying LLMs in production on GPUs Neuron TPU or other AI acceleration hardware
- Experience using data and metrics to drive actionable insights at scale
- 5 years of customer-facing product development and product management including defining launching and optimizing product and services experience

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at NY New York - 184900.00 - 250200.00 USD annually
USA WA Seattle - 168100.00 - 227400.00 USD annually