Professional Services III - AMZ26939.3

Amazon is hiring a Professional Services III - AMZ26939.3 in Seattle, United States. It pays $154k-$208k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this role Builds AI ●●●●: the job is building AI systems.
Tools and skills the posting cites include SageMaker, Python and Java.
Level classifies it as a senior role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Design and implement complex GenAI and machine learning applications and models on AWS for enterprise customers.

SageMakerPythonJavaCGitTerraformCdkAWSLambdaS3EC2Iam+1

machine-learninggenerative-aillmsmlopscloud-architectureagentic-frameworks

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)

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

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Basic qualifications

A Master’s 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 occupation. In the alternative, a Bachelor’s 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 Amazon's internal or external careers site.

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Preferred qualifications

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 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.

How we rate this

Professional Services III - AMZ26939.3 at Amazon rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Professional Services III - AMZ26939.3 is an open job at Amazon.
Level rates this role AI Level 4 of 4: Builds AI.
The listed salary is $154k-$208k a year.
The role is based in US, WA, Seattle.
The job was posted on August 24, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Machine learningGenerative AILLMsMLOpsCloud ArchitectureAgentic FrameworksSageMakerPython

Questions you could be asked

Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where generative ai was part of your work. What did you do?
Tell me about a project where llms was part of your work. What did you do?
Tell me about a project where mlops was part of your work. What did you do?
Tell me about a project where cloud architecture was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Machine learning, Generative AI, LLMs, MLOps, and Cloud Architecture. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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