About the job
The AWS Marketplace & Partner Services Science team seeks an Applied Scientist to drive innovation across multiple AI domains, including Context Engineering in Agent-based Systems, Agent Evaluations, and Next-generation Recommendations. This role will be instrumental in revolutionizing how customers discover solutions for cloud migrations and modernization initiatives.
Responsibilities
Design and optimize context engineering solutions for large language models and agent-based systems
Establish innovative and useful evaluation strategies for measuring agent performance and effectiveness
Collaborate with cross-functional teams, such as Product and Engineering leaders, to translate scientific innovations into customer value
Publishing research or contributing to internal/external publications
Qualifications
Minimum
Experience programming in Java, C++, Python or related language
PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
Preferred
Experience conveying complex technical concepts to both technical and business audiences
Experience collaborating with UX, Product, and technical partners
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