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 innovation-designing, 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 work-from 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 AI's 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 aren't afraid to work in uncharted territory. You'll work alongside talented engineers and cross-discipline talent in an environment where rapid experimentation and production-grade quality coexist.
BASIC QUALIFICATIONS
- 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
PREFERRED QUALIFICATIONS
- 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
- - Bachelor's degree in Computer Science, Engineering, or equivalent experience
- - Publications, patents, or demonstrable contributions in AI/ML or distributed systems
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 https://amazon.jobs/en/benefits.
USA, WA, Bellevue - 168,100.00 - 227,400.00 USD annually
