Senior GenAI Scientist: LLMs & Multi-Agent Systems

Amazon Web Services (AWS); Seattle (WA); On-site; USD 143,000 - 193,000; Full time

Job summary

Amazon Development Center U.S., Inc. in Seattle, WA seeks a Senior Applied Scientist with expertise in large language models and agentic systems to build state-of-the-art multi-agent solutions.

You will lead end-to-end GenAI projects, advance production-ready ML models, and drive research that raises our team's capabilities. Ideal candidates have strong publication history, 3+ years building business ML models, and a PhD or Master’s with related experience.

Qualifications

• 3+ years of building models for business application experience
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience programming in Java, C++, Python or related language

Responsibilities

• Drive end-to-end GenAI projects with high complexity and ambiguity from conception to production
• Build, optimize, and deploy ML models while collaborating with software engineers for productionization
• Research innovative machine learning approaches and identify new opportunities for GenAI applications
• Perform hands-on analysis and modeling of large datasets to develop actionable insights
• Establish scalable, automated processes for data analysis, model development, and validation
• Present results to senior leadership and collaborate with cross-functional teams

Skills

Java

C++

Python

Education

PhD or Master’s degree with 4+ years in CS/CE/ML

Tools

Unix/Linux

Job description

Amazon Development Center U.S., Inc. in Seattle, WA seeks a Senior Applied Scientist with expertise in large language models and agentic systems to build state-of-the-art multi-agent solutions.

You will lead end-to-end GenAI projects, advance production-ready ML models, and drive research that raises our team's capabilities. Ideal candidates have strong publication history, 3+ years building business ML models, and a PhD or Master’s with related experience.