GenAI/ML Solutions Architect for Enterprise AI Platforms

Amazon Web Services (AWS); New York (NY); On-site; USD 169,000 - 229,000; Full time

Benefits offered by this job

Health insurance (medical, dental, etc

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Web Services, Inc. is seeking a GenAI/ML Solutions Architect for the United States market, focused on designing solutions using Bedrock, SageMaker, and Nova models.

You will work with field teams to accelerate customer adoption across multiple industries, and you will build reference architectures, demos, and workshops to help customers implement generative AI at scale. You will collaborate with sales and AI/ML service teams, provide customer feedback to product teams, and help develop an

Qualifications

• 8+ years of technology domain experience such as software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics.
• 3+ years of design, implementation, or consulting in applications and infrastructures.
• Experience in a technical role within a sales organization.

Responsibilities

• Design solutions using AWS GenAI/ML services to meet customer needs.
• Partner with SAs, Sales, Business Development and AI/ML service teams to accelerate adoption and revenue in the Americas.
• Evangelize AWS GenAI/ML services via blogs, whitepapers, reference architectures, and events.
• Act as a technical liaison between customers and AI service teams to provide feedback for product improvement.
• Develop internal GenAI expertise to enable field teams and identify opportunities.

Skills

Technical experience

Design/Implementation/Consulting

Sales‑oriented technical role

Job description

Amazon Web Services, Inc. is seeking a GenAI/ML Solutions Architect for the United States market, focused on designing solutions using Bedrock, SageMaker, and Nova models.

You will work with field teams to accelerate customer adoption across multiple industries, and you will build reference architectures, demos, and workshops to help customers implement generative AI at scale. You will collaborate with sales and AI/ML service teams, provide customer feedback to product teams, and help develop an