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

Amazon • Santa Clara, CA

7h

About The Position

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 understand and reason about complex
telemetry data at scale.

This role offers the opportunity to shape the future of autonomous systems in
cloud computing, working at the intersection of cutting-edge research and
high-impact production applications that serve millions of customers worldwide.

Requirements

• 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.

Nice To Haves

• 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.

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

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Education Level: Ph.D. or professional degree