In this role you will:
Design and build agentic AI systems that analyze, generate, and validate launch information across multiple countries, enabling domain experts to review in hours what previously took weeks.
Build agentic architectures that compose specialized AI agents dynamically, enabling rapid iteration without code deployments and continuous learning from expert feedback.
Architect configuration-driven pipelines so that launching a new market requires a config change, not a development cycle.
Partner with engineers across service teams to make integration points configurable and testable by design, creating one-time investments that pay off on every subsequent launch.
Build AI-driven continuous validation frameworks powered by agentic workflows and large language models that autonomously manage the full validation lifecycle.
Collaborate with cross-functional stakeholders to close the feedback loop between AI-generated output and domain expertise.
You're a good fit if you:
Have built or contributed to AI/ML systems in production - agentic workflows, LLM pipelines, knowledge graphs, or retrieval-augmented generation - and know the difference between a demo and a system experts trust.
Think in systems - how configuration propagates across services, how validation maps to launch readiness, and how failures surface to the right team.
Are comfortable with ambiguity, making architectural decisions with incomplete information and iterating based on real results.
Write clean, testable code and care about operational excellence on systems that sit on the critical path of AWS's global expansion.
Prefer partnering with another team to solve a problem at the source over building a workaround on your side.
Want measurable impact - we track launch velocity, automation coverage, accuracy, and defect reduction.
What makes this team different:
Every launch you accelerate opens a new market for AWS.
You'll work across a state-of-the-art AI-powered platform that spans launch readiness, service orchestration, and continuous validation - not just one slice.
We build AI systems that experts use daily and measure success by whether they trust the output enough to stop doing it manually.
You'll spend real time understanding adjacent systems and codebases, not just calling their APIs.
- We own the mission-critical data aggregation layer powering AWS Billing Console.
- We work on impactful projects that have org-level visibility.
- We solve challenging scaling and performance problems.
- We use cutting-edge AWS technologies and implement all best practices.
- Excellent work-life balance and sustainable operational load.
BASIC QUALIFICATIONS
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
PREFERRED QUALIFICATIONS
- 3+ 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
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, Seattle - 143,700.00 - 194,400.00 USD annually
