GenAI/ML Solutions Architect Lead, Enterprise

Amazon Web Services (AWS)

Tempe (AZ)

On-site

USD 201,000 - 272,000

Full time

3 days ago
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Job summary

AWS NAMER Specialist Organization is seeking a seasoned Solutions Architect leader to scale our GenAI/ML business in Auto/Mfg and Media & Entertainment segments. You will partner with Sales and Product teams to define the technical strategy and build a high-performing team of Solution Architects.

As the voice of the customer, you will work with product teams to evolve GenAI/ML offerings, prioritize workloads, and drive long-term growth with top-tier enterprise accounts.

Qualifications

  • 5+ years of management of technical, enterprise customer facing resources or equivalent experience.
  • 5+ years of infrastructure architecture, database architecture and networking experience.
  • Bachelor's degree
  • Experience architecting/operating solutions built on any cloud service provider like Azure, AWS, GCP, OCI, etc.
  • 5+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience

Responsibilities

  • Defining strategic workloads to drive technical relationships with customers and partners.
  • Helping Sales prioritize GenAI/ML for their customers.
  • Building a high-performing team of deeply technical Solution Architects.
  • Collaborating with product and GenAI/ML teams to address issues and requests.
  • Analyzing customer insights from business drivers and operating metrics.

Skills

GenAI/ML strategy
Leadership
Enterprise customer management
Cloud architecture
Data & AI technologies

Education

Bachelor's degree

Job description

AWS NAMER Specialist Organization is seeking a seasoned Solutions Architect leader to scale our GenAI/ML business in Auto/Mfg and Media & Entertainment segments. You will partner with Sales and Product teams to define the technical strategy and build a high-performing team of Solution Architects.

As the voice of the customer, you will work with product teams to evolve GenAI/ML offerings, prioritize workloads, and drive long-term growth with top-tier enterprise accounts.

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