Professional Services II - AMZ23491.4

About the role

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.

Responsibilities

• 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.
• Understand customer requirements, design end-to-end architectures, and build 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.

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):

• programming in Python, SQL, Java, or Terraform for data analytics, Machine Learning, and Agentic AI
• experience translating technical analysis, machine learning, or generative AI outputs into actionable insights
• 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
• working with AWS cloud services, SDKs, and CI/CD pipelines
• designing data analytics and visualization solutions including KPI development, executive dashboards, and financial analytics

Pay

Salary Range $179,989 - $195,400 per year (40 hours / week, 8:00am-5:00pm). The base pay range for this position in New York City is USD $179,989 - $195,400 (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.