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

Final date to receive applications:
Aug 26, 2026

Are you passionate about Artificial Intelligence, Machine Learning, and Generative AI? Are you passionate about helping customers build solutions leveraging the state-of-the-art AI/ML/GenAI tools on Amazon Web Service (AWS)? Come join us!

At Amazon, we’ve been investing deeply in artificial intelligence for over 20 years, and many of the capabilities customers experience in our products are driven by machine learning. ’s recommendations engine is driven by machine learning (ML), as are the paths that optimize robotic picking routes in our fulfillment centers. Our supply chain, forecasting, and capacity planning are also informed by ML algorithms.

Alexa is fueled by Natural Language Understanding and Automated Speech Recognition deep learning; as is Prime Air, and the computer vision technology in our new retail experience, Amazon Go. We have thousands of engineers at Amazon committed to machine learning and deep learning, and it’s a big part of our heritage.

Within AWS, we’re focused on bringing that knowledge and capability to customers through three layers of the AI stack:
1) Frameworks and Infrastructure with tools like Apache MxNet and Tensor Flow,
2) Machine Learning Platforms such as Amazon Sage Maker for data scientists, and,
3) API-driven Services like Amazon Bedrock, Amazon Lex, Amazon Kendra, Amazon Transcribe, Amazon Comprehend, and Amazon Rekognition to quickly add intelligence to applications with simple API calls.

AWS is looking for a Machine Learning Solutions Architect (ML SA), who will be the Subject Matter Expert (SME) for helping customers in the AMERICAS design solutions that leverage our ML services. As part of the team, you will work closely with customers in one or more industry verticals (Financial Services, Media and Entertainment, Manufacturing, Technology, Health Care and Life Sciences, Retail, etc.)

to enable large-scale use cases, design ML pipelines, and drive the adoption of AWS for the AI/ML platforms. You will interact with other SAs in the field, providing guidance on their customer engagements, and you will develop white papers, blogs, reference implementations, and presentations to enable customers to fully leverage AI/ML on AWS. Additionally, as the voice of the customer, you will work closely with the service teams, and submit product feature requests to drive the platform forward.

You must have deep technical experience working with technologies related to artificial intelligence, machine learning and/or deep learning. A strong mathematics and statistics background is preferred in addition to experience building complex machine learning models. You will be familiar with the ecosystem of software vendors in the GenAI space, and will leverage this knowledge to help AWS customers in their selection process.

If you are a qualified and accepted candidate, you may work out of any of the following cities:
San Jose, Los Angeles, Seattle, Chicago, Austin, Dallas, Atlanta, Arlington.

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

• Working with customers’ development and data science teams to deeply understand their business and technical needs. After understanding their needs, you will design solutions that make the best use of the AWS cloud platform and AWS AI/ML Services including Sage Maker, Amazon Bedrock, Amazon Agent Core, Amazon Rekognition, Amazon Transcribe, Amazon Quick, Amazon Personalize, and other AI/ML services.
• Partner with SAs, Sales, Business Development and the AI/ML Service teams to accelerate customer adoption and revenue attainment in the AMERICAS for Amazon Sage Maker and related services that support GenAI use cases.
• Thought Leadership – Evangelize AWS ML services and…