Sr. Applied Scientist, Applied AI Solutions

Sr. Applied Scientist, Applied AI Solutions

Stellen-:  |  Services LLC

The newest business group in AWS, Applied AI Solutions are built by AWS and AWS Partners to deliver applied AI solutions that leverage Amazon's operational expertise and that businesses love and trust for their day-to-day success. Our ambition is to become a partner which companies can rely on to run their business every day, putting AI to work delivering better customer experience, operational excellence and speed.

Are you excited about pushing past single‑turn chat into agents that run for hours or days, planning, recovering from failure, and accumulating knowledge as they work? Do you want to design the harnesses, memory systems, and context strategies that turn frontier models into reliable collaborators on real business problems? Do you enjoy the prospect of solving agent problems that haven't been solved at scale anywhere before, including memory decay, belief revision, fact grounding, long‑horizon credit assignment, and evaluation of open‑ended trajectories?

Along the way, you'll get opportunities to be a disruptor, innovator, and a problem solver, someone who truly enables AI agents to create significant impacts.

• Partner with cross‑functional business and engineering teams to identify and deliver high‑impact agentic use cases across the Applied AI Solutions portfolio.
• Design, develop, and evaluate long‑running agents — including orchestration harnesses, memory architectures (episodic recall, semantic facts, revisable beliefs, principled decay), context compaction strategies, and safe, auditable tool and environment designs.
• Define evaluation frameworks for agents whose outputs defy single‑answer judgment, building trajectory‑level evaluations, reward‑hacking detection, and human‑in‑the‑loop review patterns.
• Serve as a senior scientist, setting technical direction, mentoring scientists and engineers, and representing the science org in roadmap and architecture decisions.
• Ensure seamless deployment and integration of agents into production systems customers rely on daily.
• Lead by example, communicate effectively across audiences, and love solving complex problems at the frontier of applied AI.

• 3+ years of building machine learning models for business application experience.
• Experience programming in Java, C++, Python or related language.
• Experience with neural deep learning methods and machine learning.
• 5+ years of applied research experience.
• PhD in CS (Computer Science), CE (Computer Engineering), or related technical field, OR MSc + 10 years, OR BSc + 12 years.
• Experience with modeling tools such as R, scikit‑learn, Spark MLLib, MxNet, Tensor Flow, numpy, scipy etc.
• Experience with large‑scale distributed systems such as Hadoop, Spark etc.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit (Use the "Apply for this Job" box below). for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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 .

USA, WA, Seattle -  -  USD annually