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SDE II, Experience Analytics (Agent Experiences & Data Products)
Amazon
On-sitemidPosted May 5, 2026
About the Role
Design, build, and maintain software components for data products and infrastructure, and prototype/build AI agent experiences and interfaces.
Requirements
Requires strong software development skills to build data pipelines, APIs, and data publishing infrastructure, along with the ability to prototype and build AI agent interfaces and experiences.
Full Job Description
AWS Experience Analytics (EXA) is seeking a Software Development Engineer to help build the tools and experiences that make customer data useful. EXA exists to understand how customers experience AWS and to turn that understanding into products and intelligence that teams across AWS can use. We are building a unified customer lifecycle data platform (Clara), customer experience measurement frameworks, segmentation systems, and AI-powered agents that make customer understanding available on demand.
This role sits at the intersection of infrastructure and experience. You will contribute to the core data product builds — pipelines, APIs, data publishing — while also prototyping and building the agent interfaces and experiences that make these products accessible. You will help us figure out what a Clara query experience should feel like, how knowledge bases should surface insights, and how AI agents should interact with the people who use them.
We are looking for someone who is curious about how people interact with data and AI systems, who can move quickly from idea to working prototype, and who is comfortable building across the stack rather than staying in one layer. You will work alongside applied scientists, data scientists, and researchers — translating their models and findings into experiences that work. Some weeks you will be deep in infrastructure. Other weeks you will be exploring what an agent interaction should look like. You should be energized by that range, not frustrated by it.
The ideal candidate writes clean, production-quality code, thinks carefully about the people who will use what they build, and is comfortable working in spaces where the right approach has not been defined yet.
Key job responsibilities
- Design, build, and maintain software components across EXA's core data product portfolio — including data pipelines, APIs, query interfaces, and data publishing infrastructure.
- Prototype and build agent experiences and interfaces for Clara and other EXA knowledge bases — exploring what the right interactions look like and iterating quickly based on what you learn.
- Collaborate with applied scientists and data scientists to translate models, frameworks, and analytical outputs into usable tools and experiences.
- Contribute to the architecture and design of EXA's agent ecosystem — how agents surface insights, how they interact with users, and how they connect to underlying data infrastructure.
- Write code that meets the Amazon Code Bar: well-written, maintainable, robust, secure, efficient, tested, and operable.
- Participate in the full software development lifecycle — scoping, design, code, testing, deployment, and operational support.
- Help the team learn what works by building things, testing them, and sharing what you find.
About the team
Diverse Experiences AWS 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, has not followed a traditional path, or includes alternative experiences, do not let it stop you from applying.
Mentorship and Career Growth We are continuously raising our performance bar as we strive to become Earth's Best Employer. That is why you will find endless knowledge-sharing, mentorship, and other career-advancing resources here to help you develop into a better-rounded professional.
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 we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there is nothing we cannot achieve in the cloud.
This role sits at the intersection of infrastructure and experience. You will contribute to the core data product builds — pipelines, APIs, data publishing — while also prototyping and building the agent interfaces and experiences that make these products accessible. You will help us figure out what a Clara query experience should feel like, how knowledge bases should surface insights, and how AI agents should interact with the people who use them.
We are looking for someone who is curious about how people interact with data and AI systems, who can move quickly from idea to working prototype, and who is comfortable building across the stack rather than staying in one layer. You will work alongside applied scientists, data scientists, and researchers — translating their models and findings into experiences that work. Some weeks you will be deep in infrastructure. Other weeks you will be exploring what an agent interaction should look like. You should be energized by that range, not frustrated by it.
The ideal candidate writes clean, production-quality code, thinks carefully about the people who will use what they build, and is comfortable working in spaces where the right approach has not been defined yet.
Key job responsibilities
- Design, build, and maintain software components across EXA's core data product portfolio — including data pipelines, APIs, query interfaces, and data publishing infrastructure.
- Prototype and build agent experiences and interfaces for Clara and other EXA knowledge bases — exploring what the right interactions look like and iterating quickly based on what you learn.
- Collaborate with applied scientists and data scientists to translate models, frameworks, and analytical outputs into usable tools and experiences.
- Contribute to the architecture and design of EXA's agent ecosystem — how agents surface insights, how they interact with users, and how they connect to underlying data infrastructure.
- Write code that meets the Amazon Code Bar: well-written, maintainable, robust, secure, efficient, tested, and operable.
- Participate in the full software development lifecycle — scoping, design, code, testing, deployment, and operational support.
- Help the team learn what works by building things, testing them, and sharing what you find.
About the team
Diverse Experiences AWS 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, has not followed a traditional path, or includes alternative experiences, do not let it stop you from applying.
Mentorship and Career Growth We are continuously raising our performance bar as we strive to become Earth's Best Employer. That is why you will find endless knowledge-sharing, mentorship, and other career-advancing resources here to help you develop into a better-rounded professional.
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 we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there is nothing we cannot achieve in the cloud.