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# Software Development Manager, Life Sciences Applied AI

- **Company:** Amazon.com, Inc.
- **Location:** Seattle, WA, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Software Engineering, Explainable AI (XAI), Agentic-AI, AI Platforms, Virtual Agents
- **Published:** October 26, 2026
- **Apply:** https://www.careerbuilder.com/job-details/software-development-manager-life-sciences-applied-ai-seattle-wa--425cda70-b710-4415-ba79-21401388a61c

## About the Role

Software Development, Artificial Intelligence (AI), Biology, Business Solutions, Amazon Web Services (AWS), Artificial Intelligence (AI), Clinical Trial, Artificial Intelligence (AI) Agents, Biology, Vehicle Fleets, * Have a proven track record of shipping innovative software products from 01

 * Bring deep technical leadership - you can whiteboard an agent architecture and review a pull request in the same afternoon
 * Have built and scaled high-performing engineering teams that punch above their weight
 * Thrive in ambiguity and speed - you see a startup-like environment as a feature, not a bug
 * Are passionate about AI and believe agents will fundamentally reshape how industries operate
 * Lead with customer obsession - you start with the customer problem and work backwards
 * Bonus: Experience in life sciences, healthcare, or regulated industries

## Description

* Ground floor, massive impact. You won"t inherit a legacy system. You"ll define the architecture, the culture, and the product from Day 1.
 * AI agents, not just AI features. We"re building autonomous AI teammates that work alongside clinical teams to accelerate every phase of the trial process.
 * Real customers, real urgency. You"ll work directly with pharmaceutical and biotech companies running active trials. The feedback loop is fast, the stakes are high, and the impact is tangible.
 * Startup energy, Amazon scale. Move fast with a small, elite team - backed by the full power of AWS infrastructure and AI services.

What You"ll Own:

 * Technical vision & architecture - Design and evolve the AI agent orchestration layer that powers the platform"s core capabilities
 * Team building - Recruit, mentor, and lead a high-performing engineering team of builders who thrive on ambiguity
 * Customer obsession - Partner directly with beta customers, product managers, and UX designers to translate clinical trial pain points into elegant, agent-driven solutions
 * Regulatory rigor - Ensure AI explainability, auditability, and compliance with FDA and ICH-GCP standards - because in healthcare, trust is non-negotiable
 * Operational excellence - Own the end-to-end delivery of production-grade AI agents deployed into customer AWS environments