Senior Solution Architect, GenAI, AWSI at Amazon
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generative ai
aws
Are you passionate about Generative AI (GenAI)? Interested in applying cutting-edge Generative AI solutions to solve real-world problems with significant impact? The Customer Acceleration Team (CAT) at AWS is a strategic team that helps customers across a broad mix of industries develop solutions to solve critical business challenges. As a Generative AI Solution Architect, you will partner with customers and other AWS teams to design and build some of the most scalable, flexible and resilient solutions that address customer GenAI use cases on AWS.
In this role, you will help shape and develop novel solutions to solve business challenges. You will use ML and Generative AI tools, such as Amazon SageMaker, Amazon Bedrock, Amazon Q along with other technologies to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. You’ll help drive successful business outcomes across a broad set of customers through your passion for educating, training, designing and building cloud hosted Generative AI solutions.
Key job responsibilities
• Partner in designing, building and migrating applications, software, and services on the AWS platform.
• Interact with customers directly to understand business challenges, help and aid them in implementation of their ML ecosystem
• Educate customers on the value proposition of AWS and showcase the art of possible.
• Participate in deep architectural discussions and design exercises to create world-class solutions built on AWS while ensuring solutions are designed for successful deployment in the cloud.
• Author and contribute to AWS customer-facing publications such as whitepapers, workshops, demos and proof of concepts.
• Build deep relationships with senior technical individuals within customers to enable them to be cloud advocates.
• Capture and share best-practice knowledge amongst the AWS solutions architect community.
• Work with AWS Service teams in synthesizing customer and market feedback to evolve the AWS Services roadmap
Travel will be mostly within the United States and occasionally international (EMEA). Travel is expected to be 15 - 30%.
A day in the life
The ideal candidate:
• Has deep expertise in AI/ML (specifically Generative AI).
• Has prior experience working as a Solution Architect.
• Is deeply technical and keeps their technical skills honed.
• Has a combination of design and architecture knowledge with development capability (comfortable on the white-board and also on the keyboard).
• Communicates efficiently and effectively with both technical and non-technical audiences
• Is great fun to work with.
We are open to hiring candidates to work out of one of the following locations:
Dallas, TX, USA | New York, NY, USA | San Francisco, CA, USA | Seattle, WA, USA
In this role, you will help shape and develop novel solutions to solve business challenges. You will use ML and Generative AI tools, such as Amazon SageMaker, Amazon Bedrock, Amazon Q along with other technologies to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. You’ll help drive successful business outcomes across a broad set of customers through your passion for educating, training, designing and building cloud hosted Generative AI solutions.
Key job responsibilities
• Partner in designing, building and migrating applications, software, and services on the AWS platform.
• Interact with customers directly to understand business challenges, help and aid them in implementation of their ML ecosystem
• Educate customers on the value proposition of AWS and showcase the art of possible.
• Participate in deep architectural discussions and design exercises to create world-class solutions built on AWS while ensuring solutions are designed for successful deployment in the cloud.
• Author and contribute to AWS customer-facing publications such as whitepapers, workshops, demos and proof of concepts.
• Build deep relationships with senior technical individuals within customers to enable them to be cloud advocates.
• Capture and share best-practice knowledge amongst the AWS solutions architect community.
• Work with AWS Service teams in synthesizing customer and market feedback to evolve the AWS Services roadmap
Travel will be mostly within the United States and occasionally international (EMEA). Travel is expected to be 15 - 30%.
A day in the life
The ideal candidate:
• Has deep expertise in AI/ML (specifically Generative AI).
• Has prior experience working as a Solution Architect.
• Is deeply technical and keeps their technical skills honed.
• Has a combination of design and architecture knowledge with development capability (comfortable on the white-board and also on the keyboard).
• Communicates efficiently and effectively with both technical and non-technical audiences
• Is great fun to work with.
We are open to hiring candidates to work out of one of the following locations:
Dallas, TX, USA | New York, NY, USA | San Francisco, CA, USA | Seattle, WA, USA