Senior GenAI/ML Solutions Architecture Leader

Amazon Web Services (AWS); Seattle (WA); On-site; USD 201,000 - 272,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Web Services, Inc. is seeking a seasoned Solutions Architect leader to scale our GenAI/ML business in Auto/Mfg and Media & Entertainment. You will define the strategic workload with customers, partner with Sales and Product teams, and build a high-performing team of solution architects in NAMER.

You will collaborate with field teams to prioritize GenAI/ML, analyze customer insights from business drivers and operating metrics, and contribute to the long-term growth of AWS GenAI/ML services.

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 AWS, Azure, 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

• Define strategic workloads to drive the necessary technical relationships with customers and partners.
• Help the Sales field prioritize GenAIML for their customers as the voice of the customer.
• Build a high-performing team of deeply technical Solution Architects.

Skills

Leadership

Cloud architecture

Data & AI

Networking

Enterprise customer management

Education

Bachelor's degree

Job description

Amazon Web Services, Inc. is seeking a seasoned Solutions Architect leader to scale our GenAI/ML business in Auto/Mfg and Media & Entertainment. You will define the strategic workload with customers, partner with Sales and Product teams, and build a high-performing team of solution architects in NAMER.

You will collaborate with field teams to prioritize GenAI/ML, analyze customer insights from business drivers and operating metrics, and contribute to the long-term growth of AWS GenAI/ML services.