Description

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