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Professional Services II - AMZ23491.4

Amazon Web Services, Inc. · New York, NY telecommuting permitted

Education
Master's in Computer Science, Engineering, Information Systems, Mathematics, or a related field
Experience
12 months
Wage
$179,989–$195,400 per year (from the posting)
First / last seen
2026-09-26 / 2026-10-16

Experience must include

PythonSQLJavaTerraformdata analyticsMachine LearningAgentic AItranslating technical analysis into actionable insightsgenerative AIlarge language model-based solutionsprompt engineeringretrieval-augmented generation architectures

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Where this job is advertised

Employer careers sites (top PERM filers) employer live
first seen 2026-09-26 · posted 2026-07-08

Original posting ↗

Application instructions (verbatim)

Applicants should apply via Amazon's internal or external careers site.
Full posting text
Professional Services II - AMZ23491.4

Employer: Amazon Web Services, Inc.
Position: Professional Services II - AMZ23491.4
Location: New York, NY

Multiple Positions Available:

Collaborate with AWS field sales, pre-sales, training and support teams 
in efforts to help partners and customers learn and use AWS services 
such as Amazon Elastic Compute Cloud (EC2), Amazon S3, NoSQL 
DynamoDB, Relational Database Service (RDS), Elastic Map Reduce 
(EMR), AWS Glue, Amazon Athena, Amazon Redshift, AWS Machine 
Learning and Generative AI services like Amazon Bedrock, Amazon 
Bedrock AgentCore, Amazon SageMaker, Amazon Textract, and 
Amazon OpenSearch.
Participate in pre-sales and work to understand customer requirements, 
create proposals and packaged Modern Data Architecture, Machine 
Learning and Generative AI Architecture offerings.
Work on delivery engagements which will include on-site and remote 
technical engagements with partners and stakeholders from diverse 
industries such Oil&Energy, Telecommunications, and Retail. This 
includes understanding customer requirements, designing end-to-end 
architectures, and building production-grade Generative AI, Data & 
Analytics, and Machine Learning solutions such as retrieval-augmented 
generation (RAG) systems, multi-agent workflows, natural-language 
search, automated summarization, chatbot platforms and intelligent 
document processing pipelines using AWS managed services, while 
integrating heterogeneous structured and unstructured enterprise data 
sources, collaboration platforms, financial documents and operational 
reports into scalable, secure and well-governed cloud environments.
Engage in the migration of existing applications and modernization of 
legacy data platforms, as well as development of new cloud-native 
analytics and agentic applications using AWS cloud services. Lead a 
team through customer engagements and responsible for achieving 
business outcomes for the customers.
• Lead the development, delivery, new architectural patterns, design 
principles and maintaining technical content for Data & Analytics, 
Machine Learning and Generative AI applications.
• Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share 
real world implementation challenges and recommend new capabilities 
that would simplify adoption and drive greater value from use of AWS 
cloud services.
• Cloud computing is eliminating traditional IT barriers that once held 
businesses back. Together with our customers and partners, we explore 
transformative possibilities, leveraging cloud computing, Data Analytics, 
Generative AI, and Machine Learning to create innovative solutions that 
drive business success

(40 hours / week, 8:00am-5:00pm, Salary Range $179989 - $195400)

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

Master's degree or foreign equivalent degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field and one year of experience in the job offered or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field and five years of progressive post-baccalaureate experience in the job offered or a related occupation as equivalent to the Master's degree and one year of experience. 
Must have one year of experience in the following skill(s): 
(1) programming in Python, SQL, Java, or Terraform for data analytics, Machine Learning, and Agentic AI; 
(2) experience translating technical analysis, machine learning, or generative AI outputs into actionable insights; 
(3) developing or integrating generative AI or large language model–based solutions including prompt engineering, retrieval-augmented generation architectures, multi-agent workflows, and knowledge base integration; 
(4) working with AWS cloud services, SDKs, and CI/CD pipelines; 
(5) designing data analytics and visualization solutions including KPI development, executive dashboards, and financial analytics

The base pay range for this position in New York City is USD $179989 - $195400 (yr). Pay is based on market location and may vary depending on job-related knowledge, skills, and experience. A sign-on payment and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, or other benefits, dependent on the position offered. Applicants should apply via Amazon's internal or external careers site.

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.

Why we think this is a PERM ad (100% confidence): Rules: PERM-form signals: will_accept_degree, foreign_equivalent, related_occupation, exact_experience, multiple_openings