Amazon.com Services LLC
Technology
Sr.AppliedScientist,AppliedAISolutions
Neural analysis suggests this role is
optimal for Senior candidates.
“Sr. Applied Scientist, Applied AI Solutions at Amazon.com Services LLC. Skills: Applied AI, Agent design, Machine learning. Partner with teams. Identify use cases”
What You'll Achieve.
Deliver high-impact agentic use cases
Industry & Context.
Problem solver; Solving complex problems
What They're Looking For.
Must Have
3+ years building ML models, Experience programming in Java, C++, Python, Experience with neural deep learning methods, Experience with machine learning, 5+ years applied research experience, PhD in CS, CE, or related, MSc + 10 years experience, BSc + 12 years experience
Nice to Have
Experience with R, Experience with scikit-learn, Experience with Spark MLLib, Experience with MxNet, Experience with Tensorflow, Experience with numpy, Experience with scipy, Experience with Hadoop, Experience with Spark
What You'll Do.
Define evaluation frameworks
Build trajectory-level evaluations
Detect reward-hacking
Implement human-in-the-loop review
Set technical direction
Represent science org
How You'll Work.
Team & Collaboration
Cross-functional teams; Engineering teams; Science org
Communication Scope
Communicate effectively
Process & Methodology
Roadmap planning, Architecture decisions
Full Job Description
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 reliablen 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. Key job responsibilities You will partner with cross-functional business and engineering teams to identify and deliver high-impact agentic use cases across the Applied AI Solutions portfolio. You will 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. You will 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. As a senior scientist, you will set technical direction, mentor scientists and engineers, and represent the science org in roadmap and architecture decisions. You will ensure seamless deployment and int
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