The AWS Marketplace & Partner Services Science team seeks an experienced Applied Scientist to drive innovation across multiple AI domains, including Context Engineering in Agent-based Systems, Agent Evaluation Frameworks, and Next-generation Software Recommendations, to revolutionize how customers discover software solutions for cloud migrations and modernization initiatives at Amazon Web Services (AWS).
Requirements
- 3+ years of building machine learning models or developing algorithms for business application experience
- Experience programming in Java, C++, Python or related language
- Deep expertise in state-of-the-art AI approaches, particularly in recommendation systems and agent-based architectures
- Demonstrated experience in prompt engineering and context optimization for large language models
- Track record of delivering production-scale AI solutions
Responsibilities
- Design and optimize context engineering solutions for large language models and agent-based systems
- Establish evaluation frameworks and metrics for measuring agent performance and effectiveness
- Collaborate with cross-functional teams, such as Product and Engineering leaders, to translate scientific innovations into customer value
- Mentor Scientists and influence scientific approach across the organization
Other
- 3+ years of experience
- Ability to evaluate technical feasibility and communicate complex concepts to business stakeholders
- Proven experience in mentoring technical teams and driving collaborative research initiatives
- Bachelor's degree or higher in a related field (not explicitly mentioned but implied)
- Work-life balance and flexibility in the working culture
