채용
Amazon Ring team is leading the next phase of AI adoption and is seeking a hands-on Principal Engineer-AI Builder. PE are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs.
As part of the Ring organization, PEEs work with customers who have complex challenges that require expert-level knowledge to solve. PE craft scalable, flexible, and resilient technical architectures that address those challenges. This might involve building AI based solutions for improving operational excellence.
SPE play a critical role in capturing customer feedback, advocating for roadmap enhancements and anticipating customer requirements as they work backwards from their needs. As domain experts, PE also participate in field engagement and enablement, producing content such as whitepapers, blogs, and workshops for customers, partners, and the AWS Technical Field.
This role focuses on converting AI ambition into programs that can be delivered, operated, and scaled in production environments.
- Key job responsibilities
- The PE team builds technical relationships with internal and external customers of all sizes and operate as their trusted advisor, ensuring they get the most out of the AI builder solutions at every stage of their journey while adopting GenAI/ML and Agentic technologies across their organization.
- You'll automate program management, product management operations through applying AI Agents.
- You'll be the champion of leveraging GenAI, RAG and Agentic technologies as applicable for the operational excellence
- Internally, you will be the voice of the customer, sharing their needs with regard to their usage of Gen AI services.
- In this role, your creativity will link technology to tangible solutions, with the opportunity to define cloud-native GenAI/ML and Agentic architectural patterns for a variety of use cases.
- You will participate in the creation and sharing of best practices, technical content and new reference architectures (e.g. white papers, code samples, blog posts) and evangelize and educate about running GenAI/ML and Agentic workloads (e.g. through workshops, user groups, meetups, online videos or conferences).
- Technical Leadership & Mentorship: Lead hands-on deep dives and technical workshops, contributing reusable code, reference architectures, and internal technical assets for the broader engineering organization.
Basic Qualifications
- 10+ years of engineering experience
- 10+ years of planning, designing, developing and delivering consumer software experience
- Experience partnering with product or program management teams
- Experience managing multiple concurrent programs, projects and development teams in an Agile environment
Preferred Qualifications
- Experience partnering with product and program management teams
- Experience designing and developing large scale, high-traffic applications
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, Hawthorne - 200,100.00 - 270,600.00 USD annually
USA, CA, Sunnyvale - 230,100.00 - 311,200.00 USD annually
USA, WA, Bellevue - 200,100.00 - 270,600.00 USD annually
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모의 지원자 수
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Amazon 소개

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+
직원 수
Seattle
본사 위치
$1.5T
기업 가치
리뷰
2.9
10개 리뷰
워라밸
2.8
보상
3.7
문화
2.5
커리어
2.3
경영진
2.1
35%
친구에게 추천
장점
Good pay and compensation
Strong benefits package
Flexible scheduling options
단점
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
연봉 정보
4개 데이터
Junior/L3
L2
L3
L4
L5
L6
M3
M4
M5
M6
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
Junior/L3 · Data Scientist L4
0개 리포트
$181,968
총 연봉
기본급
-
주식
-
보너스
-
$154,672
$209,264
면접 경험
10개 면접
난이도
3.7
/ 5
소요 기간
21-35주
합격률
20%
경험
긍정 10%
보통 10%
부정 80%
면접 과정
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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