As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.

AWS Life Sciences in Applied AI Solutions org is working on a new AI agent(s) application in the clinical trials domain. Clinical trials are the most time consuming and cost heavy step in bringing new therapeutics to market and we aim to automate and accelerate this process resulting in better health outcomes for patients.

We are in early parts of our journey towards a private preview launch by end of year. It's a new team with working a new product in an space that offers massive opportunity for AWS. Come be part of this 0->1 journey....

The system tackles complex orchestration of multiple AI agents working in concert across different clinical data sources, requiring sophisticated real-time data harmonization and decision-making capabilities. Engineers will solve challenges around building explainable AI that meets regulatory requirements, while handling intricate data relationships across millions of structured/unstructured data points from global clinical trials.

We are looking for an SDE with a strong sense of ownership, bias-for-action, learn-be-curious and invent and simplify who can help drive the design and development of complex features, who can partner with Product and Science teams to solve problems, and can be an enthusiastic member on the team. This role requires someone who can see the larger vision of where we're headed, but can break the vision into meaningful phases of delivery; someone who can design for the details we know today but be flexible enough to plan and adjust for when those details change.

Preferably we would like someone who has built AI agents and has some domain knowledge. But a willingness to learn (and be curious) is important.

About the team
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SDE II, Life Sciences Applied AI