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

Benefits

Parental leave

6 weeks From the posting source

Non-birth-parent leave

6 weeks From the posting source

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Source-linked checked Jun 7, 2026

Salary

$276K-$350K From the posting source

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

169% above the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source

Seniority

Staff Plus From the posting source

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Equity

Offered Verified - SEC 10-K source

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

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

Read the full description at www.amazon.jobs. FewerJobs shows a preview and links to the original posting.