AI​/ML Specialist Solutions Architect, Payments, AGS US Specialist SA

AI/ML Specialist Solutions Architect, Payments, AGS US Specialist SA

Job :  | Amazon Web Services, Inc.

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.

Join us and help us grow. Are you passionate about Generative AI, Agentic AI, and Machine Learning? Are you passionate about helping customers design and build solutions leveraging the most comprehensive GenAI/ML platform available? Come join us! At Amazon, we've been investing deeply in artificial intelligence for over 25 years, and many of the capabilities customers experience in our products are driven by machine learning.

's recommendations engine is driven by ML, as are the paths that optimize robotic picking routes in our fulfillment centers. Our supply chain, forecasting, and capacity planning are informed by ML algorithms. Alexa is fueled by Natural Language Understanding and Automated Speech Recognition with deep learning. More recently, we've put generative AI at the core of every Amazon business, from coding assistants that help our developers ship faster, to AI agents that automate complex operational workflows, to foundation models that power entirely new customer experiences.

We have thousands of engineers at Amazon committed to pushing the frontier of AI, and it's a big part of our heritage. Within AWS, we bring that knowledge and capability to customers through three layers of the AI stack:
1) AI Infrastructure with purpose-built chips like AWS Trainium and Inferentia, GPU-powered instances, and optimized frameworks like PyTorch and JAX,
2) AI/ML Platforms including Amazon Bedrock for building generative AI applications with foundation models, agents, guardrails, and knowledge bases, and Amazon Sage Maker AI for end-to-end model building, training, and deployment, and
3) AI Application Services like Amazon Quick and Kiro (developer and business productivity), Amazon Nova foundation models, Amazon Transcribe, Amazon Textract, Amazon Comprehend, and Amazon Rekognition for quickly adding intelligence to applications.

Travel up to 30% across the United States may be possible.

Working with customers' development, data science, and AI engineering 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 Amazon Bedrock, Amazon Bedrock Agent Core, Amazon Sage Maker AI, Amazon Nova foundation models, Amazon Quick, Kiro, Amazon Comprehend, Amazon Rekognition, Amazon Textract, and Amazon Transcribe.

Partner with SAs, Sales, Business Development, and the AI/ML service teams to accelerate customer adoption and revenue attainment in the AMERICAS for AWS generative AI and machine learning services, with a focus on Amazon Bedrock, Amazon Bedrock Agent Core, Amazon Sage Maker AI, and the agentic AI portfolio.

Thought Leadership:
Evangelize AWS GenAI/ML services and share best practices through forums such as AWS blogs, whitepapers, reference architectures, sample code repositories, and public-speaking events such as AWS Summit, AWS re:

Invent, etc.

Act as a technical liaison between customers and the AWS Bedrock, Agent Core, Sage Maker, and broader AI/ML service teams to provide customer-driven product improvement feedback and feature requests.

Develop and support an AWS internal community of GenAI-related subject matter experts in the AMERICAS, enabling field teams to identify, qualify, and position generative AI and agentic AI opportunities with their customers.

Most of your time is spent working directly with customers, helping them figure out how to use generative AI and machine learning to solve real business problems.

On a given morning, you might be on a video call…