About the job
AWS Agentic AI is seeking a world-class Science leader with deep expertise in deep learning to help build industry-leading Agentic AI solutions spanning models, systems, and applications. Building on our proven track record with frontier agents like our DevOps Agent and Kiro Autonomous Coding Agent, the Agentic AI organization at AWS is tackling high-risk, high-reward projects grounded in real-world challenges across cloud observability and security.
Responsibilities
- Develop breakthroughs in agentic architecture across areas such as autonomy, self-validation, continuous learning and timeseries foundation models.
- Mentor and guide junior scientists.
- Develop technology strategy and roadmap supporting product development
- Develop prototypes for key technology, oversee the productization of the prototype, and develop critical assessment for the prototype
- Write technical reports summarizing R&D progresses and communicate such progresses with stakeholders
Qualifications
Minimum
- PhD, or Master's degree in CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: AI (NLP or multi-modality models), Deep Learning, LLM model training, graph learning, software engineering.
Preferred
- 15+ years of relevant, broad research experience after PhD degree or equivalent.
- First author publications at Tier-1 ML conferences such as NeurIPS, ICLR, ICML, CVPR.