Sr. GenAI/ML Specialist Solutions Architect, AGS Specialist Solutions Architects
Listed on 2026-05-30
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IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist, Cloud Computing: Infrastructure & Operations
Sr. GenAI/ML Specialist Solutions Architect, AGS Specialist Solutions Architects
Job : | Amazon Web Services, Inc.
We are looking for a Machine Learning Solutions Architect (ML SA) to be the subject‑matter expert that helps customers in the Americas design solutions leveraging our AI/ML services. You will partner with customers across industry verticals to enable large‑scale use cases, design ML pipelines, and drive adoption of AWS AI/ML platforms and services.
Key responsibilities:
- Work with customers’ development and data science teams to understand business and technical needs and design solutions that utilize AWS AI/ML services such as Sage Maker, Amazon Bedrock, and other APIs.
- Partner with Sales, Business Development and the AI/ML Service teams to accelerate customer adoption and revenue attainment for Amazon Sage Maker and related GenAI services.
- Evangelize AWS ML services, share best practices through white papers, reference architectures, blogs, and public speaking events.
- Act as a technical liaison between customers and AWS service teams to provide product improvement feedback.
- Develop and support an internal community of GenAI subject‑matter experts in the Americas.
Basic qualifications:
- 8+ years of experience in a technology domain such as software development, cloud computing, systems engineering, or data analytics.
- 3+ years of design, implementation, or consulting in applications and infrastructure.
- Experience working in a technical role within a sales organization.
Preferred qualifications:
- 5+ years of IT development or IT implementation/consulting experience in the software or internet industries.
- Experience working with end‑user or developer communities.
- Experience communicating with technical and non‑technical audiences, including executive level stakeholders.
- Experience architecting or operating solutions built on AWS.
Location:
Choose from San Jose, Los Angeles, Seattle, Chicago, Austin, Dallas, Atlanta, Arlington.
Travel:
Up to 50% across the USA may be required.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Base salary ranges by location:
USA, CA, San Francisco – – USD annually
USA, IL, Chicago – – USD annually
USA, MA, Boston – – USD annually
USA, MN, Minneapolis – – USD annually
USA, NJ, Jersey City – – USD annually
USA, NY, New York – – USD annually
USA, TN, Nashville – – USD annually
USA, TX, Austin – – USD annually
USA, TX, Dallas – – USD annually
USA, VA, Arlington – – USD annually
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