GenAI/ML Solutions Architect Leader

Amazon Inc.

Chicago (IL)

Hybrid

USD 201,000 - 272,000

Full time

11 days ago

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Benefits offered by this job

Health insurance
RSUs
Sign-on bonus
401(k) matching

Job summary

Amazon Web Services, Inc. is seeking a Sr. Mgr, GenAI/ML Specialist Solutions Architects to lead the technical strategy and execution for GenAI/ML workloads in Auto/Mfg and Media & Entertainment.

You will partner with Sales and Product teams to win new customers and grow existing ones, building a deeply technical SA team to support strategic outcomes. You will work with customers to define workloads, prioritize GenAI initiatives, and translate requirements into scalable cloud architectures while

Qualifications

  • 5+ years of managing technical, enterprise customer-facing resources.
  • 5+ years in infrastructure architecture, database architecture, and networking.
  • Experience architecting/operating solutions on cloud providers like AWS, Azure, GCP, OCI.
  • 5+ years working with Data & AI technologies including AI/ML, GenAI, analytics, database, and/or storage.

Responsibilities

  • Define strategic workloads to drive key technical relationships with customers and partners.
  • Help Sales prioritize GenAI/ML for customers.
  • Build and lead a high-performing Solutions Architecture team.
  • Collaborate with product teams to evolve GenAI/ML offerings and address customer feedback.

Skills

People management
Infrastructure architecture
Networking
Cloud experience
Data & AI

Education

Bachelor's degree

Tools

AWS ecosystem

Job description

Amazon Web Services, Inc. is seeking a Sr. Mgr, GenAI/ML Specialist Solutions Architects to lead the technical strategy and execution for GenAI/ML workloads in Auto/Mfg and Media & Entertainment.

You will partner with Sales and Product teams to win new customers and grow existing ones, building a deeply technical SA team to support strategic outcomes. You will work with customers to define workloads, prioritize GenAI initiatives, and translate requirements into scalable cloud architectures while

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