What are the responsibilities and job description for the Sr. Principal Scientist, AWS Developer Agents and Experiences (DAE) position at Amazon Development Center U.S., Inc.?
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 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.
Key job responsibilities
Key job responsibilities
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.
Key job responsibilities
Key job 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
BASIC QUALIFICATIONS
- 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 QUALIFICATIONS
- 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.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, Santa Clara - 276,100.00 - 350,000.00 USD annually
USA, WA, Seattle - 240,100.00 - 324,800.00 USD annually