GenAI Solutions Architect – Enterprise AI at Scale

Amazon; Palo Alto, Northern (CA, KY); Hybrid; USD 210,000 - 284,000; 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 an AI/ML Specialist Solutions Architect to design scalable, secure, and cost-effective AI/ML and Generative AI solutions on AWS.

You will engage with senior customers, craft reference architectures, and drive GenAI/AgentIC AI adoption across enterprise accounts. The role emphasizes governance, responsible AI practices, and collaboration with AWS teams to accelerate customer success, including POC to production deployments, with a strong emphasis on GenAI,

Qualifications

• 10+ years of technology domain experience and related fields.
• Experience developing technology solutions and evangelising end-to-end roadmaps guiding IT transformations toward cloud computing.
• Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications.

Responsibilities

• Build and maintain technical trusted advisor relationships with influential technical decision-makers to drive adoption of AWS AI/ML architectures.
• Architect scalable, secure, and cost-effective solutions leveraging AWS AI services; design solutions aligned to business needs, governance, and responsible AI.

Skills

10+ years experience in technology

End-to-end technology roadmaps

Technical and non-technical audience沟通

AI/ML architecture

Education

Bachelor's degree in computer science, engineering, mathematics or equivalent

Job description

Amazon Web Services, Inc. is seeking an AI/ML Specialist Solutions Architect to design scalable, secure, and cost-effective AI/ML and Generative AI solutions on AWS.

You will engage with senior customers, craft reference architectures, and drive GenAI/AgentIC AI adoption across enterprise accounts. The role emphasizes governance, responsible AI practices, and collaboration with AWS teams to accelerate customer success, including POC to production deployments, with a strong emphasis on GenAI,