Senior Specialist Solutions Architect GenAI/ML, 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 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 Generative AI 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 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 (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 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 Machine Learning Solutions Architect (ML SA) who will be the Subject Matter Expert (SME) for helping customers in the AMERICAS design solutions that leverage our ML services. As part of the team you will work closely with customers in one or more industry verticals (Financial Services Media and Entertainment Manufacturing Technology Software & Internet Retail etc.) to enable large-scale use cases design ML 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 AI/ML 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 complex 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.

If you are a qualified and accepted candidate you may work out of any of the following cities: San Jose Los Angeles Seattle Austin Dallas Atlanta Arlington.

Travel up to 50% across the USA 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 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.

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.

- 8 years of specific technology domain areas (e.g. software development cloud computing systems engineering infrastructure security networking data & analytics) experience
- 3 years of design implementation or consulting in applications and infrastructures experience
- Experience in a technical role within a sales organization

- 5 years of IT development or implementation/consulting in the software or Internet industries experience
- Experience working with end user or developer communities
- Experience communicating across technical and non-technical audiences including executive level stakeholders or clients
- Experience architecting/operating solutions built on AWS

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: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $138200/year in our lowest geographic market up to $239000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.