Sr. Principal Scientist, AWS Developer Agents and Experiences (DAE)

Job description

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. Our research agenda centers on three transformative areas that push the boundaries of what AI agents can accomplish in production environments. First, we're developing Site Reliability Engineering Autonomous Agents that can automatically detect, diagnose, and resolve incidents in production systems. This work advances the state-of-the-art in multi-step planning, reasoning, and the integration of domain-specific knowledge into agent architectures. Second, we're building Proactive Code Repair Agents that leverage diverse signals—including code, logs, runtime data, and telemetry—to identify and fix issues, and even proactively detect problems before they manifest. These agents represent a fundamental shift from reactive to anticipatory software reliability. Third, we're creating Next-Generation Timeseries Foundation Models that enable advanced forecasting, anomaly detection, and multi-modal telemetry analysis across logs, metrics, and traces. These models serve as the cognitive foundation for our agents, enabling them to natively…