Professional Services III - AMZ26939.3

Professional Services III - AMZ26939.3

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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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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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.