Sr. Software Dev Engineer, Applied AI

We are seeking a passionate talented and inventive Senior Software Development Engineer to join the Applied AI team and help build industry-leading technologies that customers will love. This team offers a unique opportunity to make a significant impact on the customer experience and contribute to the design architecture and implementation of innovative AI-forward products. The mission of the Applied AI team is to enable organizations within Worldwide Stores to accelerate the adoption of AI technologies across various parts of our business.

We are looking for a Senior Software Development Engineer (Sr. SDE) to join our Knowledge Work Automation team within Applied AI. You will be at the bleeding edge of AI innovationdesigning building and shipping multi-agentic systems purpose-built AI agents and reusable primitives that power cross-functional productivity workflows at Amazon scale. You will work at the intersection of large language models multi-agent systems and production-grade distributed software to transform how knowledge workers operate across the organization.

In this role you will architect and deliver agentic AI systems that move from rapid prototype to production-grade software serving thousands of internal customers. You will push the boundaries of Generative AI agent orchestration and tool-augmented reasoning to automate complex knowledge workfrom backlog execution to technical debt reduction to cross-functional coordination. If you thrive on ambiguity love shipping fast while maintaining high quality and want to shape the future of AI-powered productivity we invite you to become a valued member of our team.

Key job responsibilities
- **Architect & build agentic AI systems** Design and deliver multi-agent systems that autonomously execute complex knowledge work workflows moving from prototype to production-grade at Amazon scale.
- **Innovate at the frontier of AI** Evaluate and adopt emerging LLM techniques agent orchestration patterns and tool-augmented reasoning frameworks; keep pace with rapid advances in the Generative AI landscape.
- **Ship reusable primitives** Build platform-level components (APIs agent templates orchestration layers) that are consumed across teams and accelerate the broader AI for Me program.
- **Own end-to-end delivery** Drive projects from ambiguous problem statements through design implementation testing deployment and operational excellence with minimal guidance.
- **Work cross-functionally** Collaborate closely with Applied Scientists Product Managers Technical Program Managers Solution Architects and partner engineering teams to define requirements shape architecture and deliver integrated solutions.
- **Raise the technical bar** Establish and enforce high development standards; lead code reviews design discussions and system design reviews. Mentor junior engineers and foster a culture of engineering excellence.
- **Drive operational rigor** Build well-instrumented secure testable and maintainable systems. Own operational health remove blockers and continuously improve team processes.
- **Leverage a broad tech stack** Work across Python TypeScript container-based development AWS services (Lambda Step Functions Bedrock SageMaker) LLM frameworks (LangChain LangGraph or equivalent) vector databases and modern AI/ML tooling.

About the team
The Sonder Team is Applied AIs Knowledge Work Automation team. We build and ship purpose-built AI agents and reusable primitives for cross-functional productivity workflows serving as the proving ground and accelerator for the broader AI for Me program.

We are a small high-velocity team that operates at the intersection of Science and Engineering. We push the boundaries of Generative AI agent orchestration and tool-augmented reasoning to automate complex knowledge work - SDLC or otherwise. What we build here sets the blueprint for AI-powered productivity across Amazon.

We value builders who ship fast learn continuously and arent afraid to work in uncharted territory. Youll work alongside talented engineers and cross-discipline talent in an environment where rapid experimentation and production-grade quality coexist.

- 6 years of non-internship professional software development experience
- 6 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

- 7 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- - Experience building LLM-powered applications multi-agent systems or AI/ML production pipelines
- - Experience with AI/ML frameworks and tools (e.g. LangChain LangGraph Amazon Bedrock SageMaker vector databases RAG architectures)
- - Experience designing APIs and platform primitives consumed by other engineering teams
- - Track record of mentoring engineers and raising the technical bar on a team
- - Strong ability to operate in ambiguous fast-moving problem spaces and make pragmatic trade-offs
- - Experience with event-driven architectures workflow orchestration (Step Functions Temporal or equivalent) and container-based development
- - Bachelors degree in Computer Science Engineering or equivalent experience
- - Publications patents or demonstrable contributions in AI/ML or distributed systems

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 WA Bellevue - 168100.00 - 227400.00 USD annually