GenAI/ML Specialist Solutions Architect, AGS Specialist Solutions Architects

Amazon Inc.; San Francisco (CA); On-site; USD 180,000 - 280,000; Full time

Job summary

Amazon in San Francisco is seeking a GenAI/ML Specialist Solutions Architect to help customers adopt Generative AI and advanced ML on AWS. You will design scalable AI/ML solutions and guide customers through architecture decisions across AWS services.

Join a team that blends deep technical expertise with customer obsession, building innovative GenAI-powered applications and transforming how organizations leverage cloud-based AI on AWS.

Job description

GenAI/ML Specialist Solutions Architect, AGS Specialist Solutions Architects

Job ID: 10532713 | 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 comprehensive 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 Artificial Intelligence, Machine Learning, and GenerativeAI? 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. Amazon.com'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 layers of the AI stack: 1) API-driven Inference Services like Amazon Bedrock