Amazon
Sr. GenAI/ML Specialist Solutions Architect, AGS Specialist Solutions Architects
San Francisco, California, USA · Senior
Sponsorship not specified$177k-$239kDetected 1 day ago
AWSCloud PlatformsMachine LearningDeep LearningTensorFlowData ScienceComputer VisionStatisticsBusiness DevelopmentForecastingSupply ChainOnboardingCustomer SupportSystems EngineeringSASLeadershipMentoringPublic Speaking
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odds of building a lasting career here
64Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
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About the role
- 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.
- About AWS Diverse Experiences AWS values diverse experiences.
Responsibilities
- Our team empowers every customer to grow by providing tailored service, unmatched technology, and support.
- That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
- Are you passionate about helping customers build solutions leveraging the state-of-the-art AI/ML/GenAI tools on Amazon Web Service (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.
- About the team AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud.
Requirements
- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience.
- Experience in a technical role within a sales organization
Nice to have
- 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.
- 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.
Skills
- Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform.
Compensation
- $177k-$239k
Benefits
- Application deadline: Aug 5, 2026 Are you passionate about Artificial Intelligence, Machine Learning, and GenerativeAI?
- 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.
- 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.
- 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.
- 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.
Company info
- 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.
- Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique.
- Within AWS, we're focused on bringing that knowledge and capability to customers through three layers of the
- Key job responsibilities Working with customers' development and data science teams to deeply understand their business and technical needs.
This listing is sourced directly from Amazon's careers page and normalized into a canonical job model.