Worldwide Specialist Solutions Architect GenAI, Data & AI GTM

Are you passionate about Artificial Intelligence Machine Learning and Deep Learning Are you passionate about helping customers build solutions leveraging the state-of-the-art AI/ML/DL 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 Lex Amazon Polly Amazon Transcribe Amazon Comprehend and Amazon Rekognition to quickly add intelligence to applications with a simple API call.

AWS is looking for a Machine Learning Solutions Architect (ML SA) who will be the Subject Matter Expert (SME) for helping technology customers (ISVs Digital Native Businesses Gaming etc.) design solutions that leverage our ML services. As part of the team you will work closely with customers 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 AI/ML space and will leverage this knowledge to help AWS customers in their selection process.


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 Comprehend Amazon Rekognition Amazon Transcribe Amazon Lex Amazon Polly Amazon Forecast 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.
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 services teams to provide customer driven product improvement feedback.
Develop and support an AWS internal community of ML 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
- 2 years of building machine learning models or developing algorithms for business application experience
- Experience with Machine Learning and Large Language Model fundamentals including architecture training/inference lifecycles and optimization of model execution or experience working with PyTorch or JAX software
- 3 years of working with Data & AI related technologies including but not limited to AI/ML GenAI Analytics Database and/or Storage experience
- Experience in developing and deploying LLMs in production on GPUs Neuron TPU or other AI acceleration hardware or experience designing or architecting (design patterns reliability and scaling) of new and existing systems
- Proficient with prompt engineering function calling agentic workflows embedding model fine tuning and retrieval method evaluation and optimization approaches.

- Bachelors degree in computer science engineering mathematics or equivalent
- 5 years of infrastructure architecture database architecture and networking experience
- Experience building/operating highly available distributed systems of data extraction ingestion and processing of large data sets

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.

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 CA East Palo Alto - 176600.00 - 239000.00 USD annually
USA CA Irvine - 153600.00 - 207800.00 USD annually
USA WA Redmond - 153600.00 - 207800.00 USD annually