Specialist Solutions Architect, GenAIML, AGS Specialist Solutions Architects

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 customers unique challenges then craft innovative solutions that accelerate their success. This customer-first approach is how we built the worlds 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 genAI/ML tools on Amazon Web Service (AWS) Come join us!

At Amazon weve 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. recommendations engine is driven by machine learning 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 with deep learning; as is Prime Air. We have thousands of engineers at Amazon committed to machine learning and deep learning and its a big part of our heritage.

Within AWS were focused on bringing that knowledge and capability to customers through three layers of the AI stack: 1) Frameworks and Infrastructure with tools like Apache MxNet and TensorFlow 2) Machine Learning Platforms such as Amazon SageMaker for data scientists and 3) API-driven Services like Amazon Bedrock Amazon Lex Amazon Kendra Amazon Transcribe Amazon Comprehend and Amazon Rekognition to quickly add intelligence to applications with simple API calls.

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 SageMaker 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 providing guidance on their customer engagements and you will develop white papers blogs reference implementations and presentations to enable customers to fully leverage genAI 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.

You must have deep technical experience working with technologies related to artificial intelligence machine learning and/or deep learning. A strong mathematics and statistics background is preferred in addition to experience building 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.

Travel up to 50% across the United States may be possible.

Key job responsibilities
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 Comprehend Amazon Rekognition Amazon Transcribe Amazon Lex Amazon Personalize and the 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.

A day in the life
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the 8 description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.




About the team
Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

Why AWS

Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger more collaborative teams. Our continual innovation is fueled by the bold ideas fresh perspectives and passionate voices our teams bring to everything we do.

Mentorship & Career Growth

Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve.

- 4 years of specific technology domain areas (e.g. software development cloud computing systems engineering infrastructure security networking data & analytics) experience
- 2 years of design implementation or consulting in applications and infrastructures 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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at IL Chicago - 131300.00 - 177600.00 USD annually
USA MA Boston - 131300.00 - 177600.00 USD annually
USA NY New York - 144500.00 - 195400.00 USD annually
USA VA Arlington - 131300.00 - 177600.00 USD annually