Software Dev Engineer, Benefits Experience & Technology (BXT)

Amazon is building its own benefits platform, and it is going global — and we are building it on an AI Native stack designed to achieve recursive self-improvement (RSI): a system that doesn’t just ship features but continuously evolves itself, proposing its own next versions from production signals while humans own the judgment gates. This has never been done at this scale on a people-data platform, and the engineers who join now will be the ones who make it real. For most of Amazon’s history, the systems that decide what employees are eligible for and how they enroll were run by third-party vendors — and outside the US, they still are. Over the next two years we are changing that: supporting more than 2MM employees and their family members WW on Amazon’s own platform, extending retirement and savings to nearly half a million employees who have never had a real system for it, and bringing entirely new populations onto Amazon benefits for the first time. The benefits you build will be the ones your coworkers and their families actually use — this isn’t abstract infrastructure. BXT is expanding to build it, and we are hiring Software Development Engineers to build the platform underneath all of it. You would be joining one of PXT’s largest platform programs while the core is still being designed. The platform we run today was built for one country, and every new plan, carrier, or market has meant an engineering project. What we are building instead is a configuration-driven, AI-native core: a global benefits engine where a country’s rules, a new plan, or a new vendor are configured rather than coded, and where the people who understand benefits can author those rules directly while AI drafts them from the plan documents and contracts. That is not a refactor of something finished — most of it does not exist yet. We are in the first 18 months of a multi-year build. You will make the foundational decisions, not inherit them. What You Will Build A global benefits platform. The core enrollment, eligibility, and employee-profile capabilities that let Amazon deliver benefits in any country — where “add a market” means configuring its rules, not spinning up a bespoke build. First countries go live during the initial waves; the architecture you help design determines how quickly the rest follow. The AI-authoring layer. Systems that turn plan documents, carrier contracts, and a country’s regulations into working benefits configuration — with AI drafting the rules, generating the tests that validate them, and predicting the full population impact of a change before it is ever enacted. Engineers stop being the bottleneck between a new benefit and the employees who get it. Today, onboarding a new country’s benefits rules takes weeks of engineering. With the AI-authoring layer you’ll build, a benefits analyst uploads a plan document and the system drafts the configuration, generates validation tests, and predicts population impact — reducing weeks to hours. Automation that acts at population scale. Platform capabilities that carry out benefits actions on behalf of hundreds of thousands of people at once — enrollment, coverage changes, annual rollover — with the impact prediction, phased rollout, and safety controls that make operating at that scale confident rather than nervous. The recursively self-improving loop. This is what makes this role unlike anything else at Amazon today. You will contribute to building the always-on agents and feedback systems that watch how the platform runs in production — what fails, what’s slow, where customers struggle — and autonomously propose the next improvement. Those proposals flow through a common intake where humans approve or decline, and then the build loop ships the change. The system improves itself, run after run, with humans at the judgment gates. No team at Amazon has closed this loop on a people-data platform at this scale. You will be among the