채용

Principal, Senior Principal and Distinguished Engineer, AWS Database Services
Seattle, WA, USA
·
On-site
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Full-time
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1w ago
Agentic AI drives innovation at the forefront of artificial intelligence, enabling customers to transform their businesses through cutting-edge AI solutions. We build and deliver the foundational AI services that power the future of cloud computing, helping organizations harness the potential of AI to solve their most complex challenges. Join our dynamic team of AI/ML practitioners, applied scientists, software engineers, and solution architects who work backwards from customer needs to create groundbreaking technologies.
Role Overview:
We are seeking exceptional Principal Engineers to join the Agentic AI organization at AWS. This requisition represents multiple opportunities across various teams building the next generation of AI agent platforms, services, and tools. As AI agents proliferate across the industry, AWS is at the forefront of this transformation, building the technical foundation that will make sophisticated multi-agent workflows accessible to developers worldwide. In these roles, you'll design, build, and scale systems that genuinely move the needle for customers — leveraging the latest AI-powered development tools to work faster, think bigger, and ship better. We're looking for Principal Engineers who bring rare technical knowledge, a builder's instinct, and the kind of curiosity that doesn't stop at "good enough."
What You'll Do:
As a Principal Engineer in Agentic AI, you will be a hands-on technical leader tackling the hardest, most ambiguous problems in the rapidly evolving Generative AI space. You will:
- Deliver high-impact technical projects and architect software systems built to scale — leveraging cutting-edge AI-powered development tools to push the boundaries of what's possible.
- Build trend-setting AWS services in the Gen AI field, solving the hardest engineering challenges to enable machine learning powered solutions for customers
- Deliver strategic technical projects that have significant bottom-line impact on our business and competitive position
- Design and architect large-scale systems that are scalable, efficient, and fault tolerant as tier zero Amazon services
- Provide technical leadership by mentoring engineers and drawing from deep technical expertise to guide complex technical decisions
- Shape technology, product, and business in a fast-moving, startup environment within a large company
- Work across domains including compute, databases, networking, identity, and ML science teams
Depending on your background and interests, you may work on:
- Agent Core Platform: Building comprehensive, modular infrastructure for deploying and operating autonomous AI agents securely and at scale, including serverless runtime, memory, identity, gateway, and observability components
- Agent Orchestration: Developing sophisticated multi-agent coordination and workflow orchestration patterns, solving intrinsically hard problems in context management, state coordination, and autonomous system control
- Knowledge & Evaluation: Creating robust evaluation frameworks, knowledge retrieval systems, and augmentation services that power AI-driven solutions with accurate, context-aware information
- Security & DevOps: Implementing Shift Left Security by building intelligent security agents that perform application security engineering and penetration testing functions, preventing insecure code from reaching production
- Migration & Modernization: Accelerating enterprise modernization through agentic AI services that transform .NET, mainframe, and VMware workloads
Key job responsibilities
Deliver some of our most strategic technical projects and design new software systems at scale
Lead architecture and engineering strategy for critical AI agent platforms and services
Mentor engineers and provide leadership on complex technical issues
Work closely with product, engineering, and science leaders to drive innovation
Set technical direction for platforms critical to accelerating customers' agents to production
Balance technical expertise with strong analytical skills to make informed architectural decisions
Thrive in a dynamic environment where operational excellence and customer impact are paramount
About the team
This is a strategic initiative with AWS leadership visibility at the highest levels. You'll have the opportunity to:
Build and launch new AI services from the ground up
Learn state-of-the-art machine learning technology
Work with an exceptional group of product, engineering, and science leaders
Get in on the ground floor of a fast-growing business
Shape the future of AI while making meaningful impact for customers worldwide
Our teams have a broad mix of experience levels and tenures. We celebrate knowledge-sharing and mentorship, with senior members providing one-on-one mentoring and thorough, kind code reviews. We care about career growth and assign projects that help develop engineering expertise.
Basic Qualifications
- 10+ years of design, development engineering experience.
- Experience collaborating across multiple organizations and influencing key outcomes.
- Experience as a technical leader of multiple concurrent projects, driving strategic technical decisions.
Preferred Qualifications
- Experience designing, building & operating large scale, highly available, secure cloud infrastructure.
- Experience with AI software systems including Agents.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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, WA, BELLEVUE - 200,100.00 - 270,600.00 USD annually
USA, WA, Bellevue - 200,100.00 - 270,600.00 USD annually
USA, WA, REDMOND - 200,100.00 - 270,600.00 USD annually
USA, WA, Redmond - 200,100.00 - 270,600.00 USD annually
USA, WA, SEATTLE - 200,100.00 - 270,600.00 USD annually
USA, WA, Seattle - 200,100.00 - 270,600.00 USD annually
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About Amazon

Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
10,001+
Employees
Seattle
Headquarters
Reviews
2.9
10 reviews
Work Life Balance
2.8
Compensation
3.7
Culture
2.5
Career
2.3
Management
2.1
35%
Recommend to a Friend
Pros
Good pay and compensation
Strong benefits package
Flexible scheduling options
Cons
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
Salary Ranges
2 data points
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0 reports
$108,330
total / year
Base
$43,332
Stock
$54,165
Bonus
$10,833
$75,831
$140,829
Interview Experience
10 interviews
Difficulty
3.7
/ 5
Duration
21-35 weeks
Offer Rate
20%
Experience
Positive 10%
Neutral 10%
Negative 80%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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