Sr. Applied Scientist, Amazon AI at Work

Amazon•Seattle, WA

149d

About The Position

We're at a defining moment in enterprise AI. While most companies are building thin wrappers around foundation models, we're tackling the fundamental challenges that will shape how organizations work with AI over the next decade. We're seeking a Senior Applied Scientist who will lead the technical vision and innovation that will define the future of work at Amazon. You'll be at the forefront of Amazon's AI innovation, working directly with technologies that will power the next generation of business operations, with visibility at the highest levels of AWS and Amazon’s leadership team. What we're building doesn't exist yet anywhere—we're creating AI systems that fundamentally transform how enterprises operate. The scientific challenges we face represent genuine gaps in how organizations integrate AI into their operations, and we're approaching them with the resources and scale to build real solutions, not just prototypes. This role has real ambiguity—the productive kind where customer problems are clear but scientific solutions need to be invented. You'll have high autonomy to drive the scientific strategy and technical implementation in an early team. The scale of impact is enormous—you'll be developing scientific innovations that will fundamentally change how Amazon operates and become the foundation for how enterprises worldwide integrate AI into complex knowledge work. But what makes this unique is the timing and technical depth. You'll be solving problems that don't have established solutions, inventing new scientific approaches alongside delivering production-grade systems. If you want to tackle intrinsically hard scientific challenges that don't have obvious solutions, if you want to advance the state of the art in AI, if you want your work to matter at scale—let's talk.

Requirements

3+ years of building machine learning models for business application experience
PhD, or Master's degree and 6+ years of applied research experience
Experience programming in Java, C++, Python or related language
Experience with neural deep learning methods and machine learning

Nice To Haves

Experience in building machine learning models for business application
Strong background in human-AI interaction systems

Responsibilities

Design and architect complex AI agent systems for business and product management workflows at scale
Define and lead research initiatives in human-AI collaboration frameworks across multiple teams
Drive end-to-end delivery of novel AI solutions from inception to production, ensuring system-level technical requirements are met
Lead technical discovery and innovation through rapid experimentation while maintaining high standards
Mentor junior scientists and influence adoption of scientific best practices across teams
Author technical documentation and research papers that advance the field of AI agents