Senior Applied Scientist, FBA AI Science & Analytics
Core
Building next-generation multi-agent systems and GenAI architectures to guide millions of third-party sellers through supply chain challenges at scale.
Role type
Senior Applied Scientist (GenAI & Multi-Agent Systems)
Builds
Production-grade agentic capabilities for seller workflows (inventory optimization, inbound efficiency, defect improvements, reimbursements, capacity planning) (via careerplan.io/jobs/10566286-senior-applied-scientist-fba-ai-science-analytics-at-amazon)
Domain
E-commerce / Supply Chain / Machine Learning
Deliverable
production ML models
Required skills
GenAI, multi-agent systems, reinforcement learning, recommendation systems, statistical learning, deep learning, Java, C++, Python
Preferred skills
PhD, patents or publications at top-tier conferences, extensive hands-on experience building agentic AI architectures
Technologies
GenAI, LLMs, multi-agent systems
Responsibilities
Design, build, and deploy end-to-end GenAI architectures; define long-term science vision and roadmap; partner with engineers to drive real-time model implementations; establish scalable processes for model benchmarking and evaluation; advocate ML solutions to business stakeholders and executives
Seniority
Senior, hands-on IC