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Professional Services III AMZ26939.3

Amazon


Job Location:

Seattle, WA - USA

Yearly Salary: USD 153600 - 207800
Posted: 29 September 2026 (Yesterday)
Application Deadline: 27 December 2026
Vacancies: 1 Vacancy

Job Summary

Employer: Amazon Web Services Inc.
Position: Professional Services III - AMZ26939.3
Location: Seattle WA

Multiple Positions Available:

Design implement and build complex scalable and secure
GenAI and ML applications and models built on AWS tailored to
customer needs; Provide technical guidance and implementation support throughout project delivery with a focus on using AWS AI/ML services; Collaborate with customer stakeholders to gather requirements and propose effective model training building and deployment strategies; Act as a trusted advisor to customers on industry trends and emerging technologies; Share knowledge within the organization through mentoring training and creating reusable artifacts

(40 hours / week 8:00am-5:00pm Salary Range $153600 - $207800)

is an Equal Opportunity Affirmative Action Employer Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation

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A Masters degree or foreign equivalent degree in Computer Science Engineering Business Administration or related discipline and 5 years of experience in the job offered or a related the alternative a Bachelors degree or foreign equivalent degree in Computer Science Engineering Business Administration or related discipline followed by 7 years of progressively responsible post-baccalaureate experience in the job offered or a related occupation.
Experience must include:
(1) 3 years of experience in direct customer (internal or external) interaction with responsibilities in ML solutions design architecture and implementation.
(2) 5 years of experience in software design and development using programing languages such as Python Java or C#/C.
(3) 3 years of experience in development lifecycle practices including version control (including git) infrastructure as code (such as CDK or Terraform) and CI/CD pipelines
(4) 3 years of experience with Amazon Web Services (AWS) including service including SageMaker Lambda S3 EC2 IAM and CloudFormation
(5) 1 years of experience designing implementing and operating compute infrastructure for Machine Learning model training and model inference.
(6) 1 years of experience designing and implementing solutions using Generative AI technologies including large language models and agentic framework

The pay range for this position in Seattle WA is $153600 - $207800 (yr); however base pay offered may vary depending on job-related knowledge skills and experience. A sign-on bonus and restricted stock units may be provided as part of the compensation package in addition to a full range of medical financial and/or other benefits dependent on the position offered. This information is provided by Washington Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazons internal or external careers site.

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All applicants must meet all the above listed requirements.

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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.


Required Experience:

Unclear Seniority


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