Role at a glance
- Salary
- $180K – $195.4K/yr
- Location
- New York, New York, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- one year of experience in the job offered or a related occupation
- Education
- Master's degree or foreign equivalent degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field
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Role Summary
The role delivers AWS-based Data & Analytics, Machine Learning, and Generative AI solutions for partners and customers across diverse industries. It supports pre-sales, architecture design, application modernization, and customer engagements involving production-grade cloud solutions and AWS managed services.
What You'll Do
- Collaborate with AWS field sales, pre-sales, training, and support teams to help partners and customers learn and use AWS services
- Understand customer requirements and create proposals and packaged Modern Data Architecture, Machine Learning, and Generative AI...
- Design end-to-end architectures and build production-grade Generative AI, Data & Analytics, and Machine Learning solutions using AWS...
- Lead teams through customer engagements and work toward achieving business outcomes for customers
- Lead the development and delivery of new architectural patterns, design principles, and technical content for Data & Analytics, Machine...
- Work with AWS engineering and support teams to convey partner and customer needs and feedback for technology roadmaps
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Required
- 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...
- 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...
Preferred
- All applicants must meet all the above listed requirements.
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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
Basic Qualifications
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.
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.
About the company
amazon
Large Enterprise
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.