AI/ML Specialist Solutions Architect, Retail, AGS US Specialist SA, Retail
Listed on 2026-06-19
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IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Cloud Computing: Infrastructure & Operations, Data Scientist
Job Overview
AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and committed support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer‑first approach is how we built the world's most adopted cloud.
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 genAI/ML 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, Alexa, and Prime Air all use machine learning and deep learning techniques. Within AWS, we are focused on bringing that knowledge and capability to customers through three layers of the AI stack:
Frameworks and Infrastructure, Machine Learning Platforms, and API‑driven Services.
AWS is looking for a GenAI/ML Solutions Architect who will be the Subject Matter Expert for helping customers in the United States design solutions that leverage our GenAI services, including Amazon Bedrock, Amazon Sage Maker, and Amazon Q. As part of the team, you will work closely with customers to enable large‑scale use cases, design GenAI pipelines, and drive the adoption of AWS for the AI/ML platforms.
You will interact with other SAs in the field, provide guidance on their customer engagements, develop white papers, blogs, reference implementations, and presentations to enable customers to fully leverage GenAI on AWS, and act as the voice of the customer to inform product feature requests.
Travel up to 30% across the United States may be possible.
Key Job Responsibilities- Work with customers' development and data science teams to deeply understand their business and technical needs, then design solutions that make the best use of the AWS cloud platform and AWS AI/ML Services including Sage Maker, Amazon Bedrock, Amazon Comprehend, Amazon Rekognition, Amazon Transcribe, Amazon Lex, 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 share best practices through forums such as AWS blogs, whitepapers, reference architectures and public‑speaking events such as AWS Summit and AWS re:
Invent. - Act as a technical liaison between customers and the AWS Sage Maker 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.
- 4+ years of experience in specific technology domain areas such as software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics.
- 2+ years of design, implementation, or consulting in applications and infrastructure.
- 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.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants:
Job duties for this position include working safely and cooperatively with other employees, supervisors, and staff; adhering to standards of excellence despite stressful conditions; communicating effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and following all federal, state, and local laws and Company policies. Criminal history may have a…
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