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Sr. GenAI​/ML Specialist Solutions Architect, AGS Specialist Solutions Architects

Job in Minneapolis, Hennepin County, Minnesota, 55400, USA
Listing for: Amazon Web Services (AWS)
Full Time position
Listed on 2026-05-23
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Cloud Computing
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Machine Learning Solutions Architect - Amazon Web Services (AWS)

Join Amazon Web Services (AWS) as a Machine Learning Solutions Architect (ML SA). In this role you will be the subject‑matter expert for designing AI/ML solutions for customers in the Americas, leveraging AWS services such as Amazon Sage Maker, Amazon Bedrock, Amazon Lex, Amazon Kendra, Amazon Transcribe, Amazon Comprehend and Amazon Rekognition.

Key Responsibilities
  • Partner with SAs, Sales, Business Development and the AI/ML Service teams to accelerate customer adoption of AWS ML services for GenAI use cases.
  • Evangelize AWS ML services and share best practices through blogs, white papers, reference architectures and speaking events.
  • Act as a technical liaison between customers and AWS service teams to provide customer‑driven product improvement feedback.
  • Develop and support an internal community of GenAI subject‑matter experts across the Americas.
  • Work with customers’ development and data science teams to understand their business and technical needs and design solutions that maximize the use of AWS cloud and AI/ML services.
Basic Qualifications
  • 8+ years of experience in technology domains such as software development, cloud computing, systems engineering, infrastructure, security, networking, data and analytics.
  • 3+ years of design, implementation or consulting experience in applications and infrastructures.
  • Experience in a technical role within a sales organization.
Preferred Qualifications
  • 5+ years of IT development or implementation/consulting in software or Internet industries.
  • Experience working with end-user or developer communities.
  • Experience communicating across technical and non‑technical audiences, including executive level stakeholders.
  • Experience architecting or operating solutions built on AWS.
Location & Travel

Work can be based in any of the following cities:
San Jose, Los Angeles, Seattle, Chicago, Austin, Dallas, Atlanta, Arlington.

Travel up to 50% across the USA may be required.

EEO & Fair Hiring Statement

Amazon is an equal‑opportunity employer and does not discriminate based on protected veteran status, disability, or other legally protected status. The hiring process considers qualified applicants with arrest and conviction records in accordance with the Los Angeles County Fair Chance Ordinance and the San Francisco Fair Chance Ordinance.

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