Senior Applied Scientist, New Initiatives

Amazon

Seattle, WA, US
Not specified; not specified; not specified
On-site
Agentic ai applications expertise
Deep learning and time series analysis
Llm and multimodal system design
The role involves designing autonomous AI agents that can reason, plan, and execute multi-step tasks to analyze data and solve complex optimization problems

Job Summary

  • The role involves designing autonomous AI agents that can reason, plan, and execute multi-step tasks to analyze data and solve complex optimization problems.
  • Candidates will build tool-augmented LLM systems integrated with external APIs and develop RAG pipelines to ground models in domain-specific knowledge bases.
  • This position requires driving end-to-end product development from research through production deployment while establishing rigorous experimentation frameworks to validate model performance.

Matching Summary

The role involves designing autonomous AI agents that can reason, plan, and execute multi-step tasks to analyze data and solve complex optimization problems.

Salary

Not specified; Not specified; Not specified

Skills & Requirements

Must-have

  • Agentic AI applications expertise
  • Deep learning and time series analysis
  • LLM and multimodal system design
  • Autonomous AI agent development
  • Tool-augmented LLM implementation
  • Multi-agent orchestration experience
  • RAG architecture development

Nice-to-have

  • Passion for societal impact
  • Creativity and simplicity focus
  • Cross-functional collaboration skills
  • Statistical proof backing judgment
  • End-to-end product development drive

Key Requirements

  • Senior level applied scientist experience
  • Expertise in agentic AI and deep learning
  • Background in time series forecasting
  • Experience with LLMs and multimodal systems

Work Rights

Not specified

Tailored Resume

Cover Letter