Sr. Software Dev Engineer, Applied AI
Listed on 2026-05-30
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Software Development
AI Engineer, Machine Learning/ ML Engineer, Software Architect, Cloud Engineer - Software
Job : | Services LLC
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 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 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, Type Script, container‑based development, AWS services (Lambda, Step Functions, Bedrock, Sage Maker), LLM frameworks (Lang Chain, Lang Graph, or equivalent), vector databases, and modern AI/ML tooling.
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.
- 6+ years of non‑internship professional software development experience.
- 6+ years of programming with at least one software programming language.
- 5+ years of leading design or architecture (design…
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