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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # GenAI/ML Specialist Solutions Architect, AGS Specialist Solutions Architects - **Company:** Amazon.com, Inc. - **Location:** Denver, CO, United States - **Experience:** Experienced - **Salary:** $151,000.0 - $204,300.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Systems Engineering, Cloud Computing, Machine Learning, Azure Machine Learning, SAS (Software), Software Engineering, Deep Learning, Generative AI, Information Technology, Data Analytics, Machine Learning Operations - **Published:** July 17, 2026 - **Apply:** https://dejobs.org/x/x/62BA8D741C5C41FAA317C36688E53EF2/job/ ## About the Role You must have deep technical experience working with technologies related to Generative AI, 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., * 2+ years of design, implementation, or consulting in applications and infrastructures experience * 4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience * 10+ years of IT development or implementation/consulting in the software or Internet industries experience, * Experience working within software development or Internet-related industries * Experience migrating or transforming legacy customer solutions to the cloud * Experience working with AWS technologies from a dev/ops perspective ## Description 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 ISV(Independent Software Vendors) 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., 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 SageMaker, Amazon Bedrock, Amazon AgentCore, 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 SageMaker and related services that support GenAI use cases. * Thought Leadership - Evangelize AWS ML services and share best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re:Invent, etc. * Act as a technical liaison between customers and the AWS SageMaker or other service teams to provide customer driven product improvement feedback. * Develop and support an AWS internal community of GenAI related subject matter experts in the AMERICAS. ## Related Videos - [The State of GenAI & Machine Learning in 2025](https://www.wearedevelopers.com/videos/1383-the-state-of-genai-machine-learning-in-2025) - [Times of (climate) crisis - How and why sustainable software is a must!](https://www.wearedevelopers.com/videos/988-times-of-climate-crisis-how-and-why-sustainable-software-is-a-must) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative) - [Should we build Generative AI into our existing software?](https://www.wearedevelopers.com/videos/1129-should-we-build-generative-ai-into-our-existing-software) - [Your Next AI Needs 10,000 GPUs. Now What?](https://www.wearedevelopers.com/videos/1590-your-next-ai-needs-10-000-gpus-now-what) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? 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