Generative AI & Data Analytics Architect

Amazon Web Services (AWS); New York (NY); On-site; USD 180,000 - 195,000; Full time

Job summary

Amazon Web Services, Inc. in New York, NY seeks a Professional Services II to design and deliver end-to-end data Analytics, ML and Generative AI architectures using AWS services.

You will collaborate with field sales, pre-sales, training and support teams to translate requirements into production-grade solutions. The role involves on-site and remote engagements across industries, driving adoption of modern data platforms and GenAI capabilities while leading customer engagements to achieve

Qualifications

• Master's degree or equivalent in CS/Engineering/IS/Math or related field.
• One year of related experience for Master’s path; five years with Bachelor’s.
• Proficiency in Python/SQL/Java/Terraform for analytics and AI.
• Experience with AWS cloud services, SDKs, and CI/CD pipelines.
• Design data analytics and visualization solutions including KPI dashboards.

Responsibilities

• Collaborate with field sales, pre-sales, training, and support teams.
• Deliver end-to-end architectures using AWS services for data, ML, and GenAI.
• Lead on-site and remote engagements across industries to meet outcomes.
• Develop and propose Modern Data Architecture, ML, and Generative AI offerings.
• Guide teams in customer engagements to achieve business outcomes.

Skills

Python

SQL

Java

Terraform

Generative AI

AWS services

CI/CD

Data visualization

Education

Master's degree in CS/Engineering/IS/Math

Bachelor's degree + 5 years progressive experience

Tools

None

Job description

Amazon Web Services, Inc. in New York, NY seeks a Professional Services II to design and deliver end-to-end data Analytics, ML and Generative AI architectures using AWS services.

You will collaborate with field sales, pre-sales, training and support teams to translate requirements into production-grade solutions. The role involves on-site and remote engagements across industries, driving adoption of modern data platforms and GenAI capabilities while leading customer engagements to achieve