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)

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.