SDE-III SP Agentic Interfaces, Spectrum — Selling Partner Developer Experience
Amazon
21 hours ago
Full-time
Remote
Worldwide
The Spectrum organization owns critical platform infrastructure that hundreds of thousands of third-party Solution Providers depend on to build applications powering millions of Amazon sellers. Our services process billions of API calls, manage complex permission and authorization models across global marketplaces, and serve as the front door for every Solution Provider building on Amazon's commerce platform. We're looking for a senior technical leader to own the architecture and drive delivery of agentic AI systems within our platform. This is a role for someone who sees the full picture — you'll take ambiguous business problems, define the technology strategy, and lead your team through delivery of production AI agent systems that fundamentally reshape how Solution Providers interact with our platform. You'll proactively identify architecture deficiencies, simplify complex systems, and make trade-offs between short-term business needs and long-term technology investments. Your influence will extend beyond your team as you drive alignment with partner teams on coherent architectural strategies.
Key job responsibilities
* Own team-level architecture for agentic AI systems — define how AI agents interact with your team's platform services (authorization, permissions, notifications, identity, and developer workflows). Proactively fix architecture deficiencies and simplify existing systems.
* Lead large, complex AI initiatives end-to-end — decompose ambiguous problem statements into parallel workstreams, assign components to team members, and reassemble into cohesive launches. You know when to build new and when to extend existing solutions.
* Design AI agent frameworks and platform architecture including tool-use orchestration, context retrieval (RAG over developer docs, API specs, and account data), guardrails, memory systems, and evaluation pipelines — making trade-offs between extensibility, performance, and operational complexity.
* Leverage AI-DLC to build world-class experiences for Sellers and Solution Providers to discover and leverage agentic capabilities across their interface of choice.
* Build intelligent automation for high-volume operational workflows: vetting tools with human-in-the-loop, agentic ticket triage and resolution, proactive Solution Provider health monitoring, automated onboarding guidance, and self-service diagnostic tools.
* Define metrics, evaluation frameworks, and guardrails for AI agent quality — accuracy, resolution rate, latency, safety, drift detection — and build the instrumentation to measure and improve them in production. Drive A/B testing of model outputs and establish feedback loops.
* Drive engineering excellence across the team — set standards for code quality, operational excellence, security, and testability. Resolve root causes of endemic problems including areas where your team's systems bottleneck other teams' innovation.
* Operate at Amazon scale — own Tier-1 services across multiple regions. Make principled trade-offs between short-term operational needs and long-term technology investments. Maintain the high availability bar expected of platform infrastructure.
* Influence technical direction beyond your team — lead architecture reviews, drive design alignment with partner teams across the Spectrum organization, and negotiate technical decisions where systems intersect. Build consensus across discordant views.
* Actively mentor and develop team members — coach SDEs on design approaches, lead technical assessments, raise the engineering bar through code reviews, and ensure the team is stronger because of your presence but does not require it to be successful.
A day in the life
The average day is focused on delivering upon our prioritized product features and collaborating with members of the team on planning and designing future features.
We gather on a daily Scrum to support each other in our work and help overcome blockers as a team.
About the team
The team owns the API endpoint that millions of selling partners around the world use to manage their business on Amazon's stores. As part of the team, you have the chance to make a significant impact on our systems, our business, and most importantly, our customers by building highly scalable, reliable, and extensible systems. If you work backward from customer needs are committed to getting things done, then explore joining our team!
- 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 full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
USA, MI, Detroit - 168,100.00 - 227,400.00 USD annually
Key job responsibilities
* Own team-level architecture for agentic AI systems — define how AI agents interact with your team's platform services (authorization, permissions, notifications, identity, and developer workflows). Proactively fix architecture deficiencies and simplify existing systems.
* Lead large, complex AI initiatives end-to-end — decompose ambiguous problem statements into parallel workstreams, assign components to team members, and reassemble into cohesive launches. You know when to build new and when to extend existing solutions.
* Design AI agent frameworks and platform architecture including tool-use orchestration, context retrieval (RAG over developer docs, API specs, and account data), guardrails, memory systems, and evaluation pipelines — making trade-offs between extensibility, performance, and operational complexity.
* Leverage AI-DLC to build world-class experiences for Sellers and Solution Providers to discover and leverage agentic capabilities across their interface of choice.
* Build intelligent automation for high-volume operational workflows: vetting tools with human-in-the-loop, agentic ticket triage and resolution, proactive Solution Provider health monitoring, automated onboarding guidance, and self-service diagnostic tools.
* Define metrics, evaluation frameworks, and guardrails for AI agent quality — accuracy, resolution rate, latency, safety, drift detection — and build the instrumentation to measure and improve them in production. Drive A/B testing of model outputs and establish feedback loops.
* Drive engineering excellence across the team — set standards for code quality, operational excellence, security, and testability. Resolve root causes of endemic problems including areas where your team's systems bottleneck other teams' innovation.
* Operate at Amazon scale — own Tier-1 services across multiple regions. Make principled trade-offs between short-term operational needs and long-term technology investments. Maintain the high availability bar expected of platform infrastructure.
* Influence technical direction beyond your team — lead architecture reviews, drive design alignment with partner teams across the Spectrum organization, and negotiate technical decisions where systems intersect. Build consensus across discordant views.
* Actively mentor and develop team members — coach SDEs on design approaches, lead technical assessments, raise the engineering bar through code reviews, and ensure the team is stronger because of your presence but does not require it to be successful.
A day in the life
The average day is focused on delivering upon our prioritized product features and collaborating with members of the team on planning and designing future features.
We gather on a daily Scrum to support each other in our work and help overcome blockers as a team.
About the team
The team owns the API endpoint that millions of selling partners around the world use to manage their business on Amazon's stores. As part of the team, you have the chance to make a significant impact on our systems, our business, and most importantly, our customers by building highly scalable, reliable, and extensible systems. If you work backward from customer needs are committed to getting things done, then explore joining our team!
- 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 full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 https://amazon.jobs/en/benefits.
USA, MI, Detroit - 168,100.00 - 227,400.00 USD annually