AIML Specialist Solutions Architect, Enterprise, AGS US Specialist SA

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 Generative AI Agentic AI and Machine Learning Are you passionate about helping customers design and build solutions leveraging the most comprehensive GenAI/ML platform available Come join us!

At Amazon weve been investing deeply in artificial intelligence for over 25 years and many of the capabilities customers experience in our products are driven by machine learning. recommendations engine is driven by ML as are the paths that optimize robotic picking routes in our fulfillment centers. Our supply chain forecasting and capacity planning are informed by ML algorithms. Alexa is fueled by Natural Language Understanding and Automated Speech Recognition with deep learning. More recently weve put generative AI at the core of every Amazon business from coding assistants that help our developers ship faster to AI agents that automate complex operational workflows to foundation models that power entirely new customer experiences. We have thousands of engineers at Amazon committed to pushing the frontier of AI and its a big part of our heritage.

Within AWS we bring that knowledge and capability to customers through three layers of the AI stack: 1) AI Infrastructure with purpose-built chips like AWS Trainium and Inferentia GPU-powered instances and optimized frameworks like PyTorch and JAX 2) AI/ML Platforms including Amazon Bedrock for building generative AI applications with foundation models agents guardrails and knowledge bases and Amazon SageMaker AI for end-to-end model building training and deployment and 3) AI Application Services like Amazon Quick and Kiro (developer and business productivity) Amazon Nova foundation models Amazon Transcribe Amazon Textract Amazon Comprehend and Amazon Rekognition for quickly adding intelligence to applications.

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 leveraging our GenAI and ML services. You will work as an overlay to field sales teams covering customers across multiple verticals and helping them architect and adopt solutions using Amazon Bedrock Amazon Bedrock AgentCore Amazon SageMaker AI Amazon Nova models and the broader AI/ML portfolio. You will design RAG architectures agentic AI workflows model customization strategies responsible AI implementations and production-scale inference pipelines. You will interact with other SAs in the field providing guidance on their customer engagements. You will develop blog posts reference implementations workshops and presentations to enable customers to fully leverage generative AI on AWS. Additionally as the voice of the customer you will work closely with service teams and submit product feature requests to drive the platform forward.

You must have deep technical experience working with technologies related to generative AI machine learning and/or deep learning. Hands-on experience building applications on foundation models (RAG pipelines agent frameworks prompt engineering model evaluation fine-tuning) is required. A strong mathematics and statistics background is preferred in addition to experience with solution architecture and production ML systems. You should be familiar with the GenAI ecosystem (model providers orchestration frameworks vector databases evaluation tools) and will leverage this knowledge to help AWS customers evaluate tradeoffs and accelerate their AI adoption.

Travel up to 30% across the United States may be possible.

Key job responsibilities
Working with customers development data science and AI engineering 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 Amazon Bedrock Amazon Bedrock AgentCore Amazon SageMaker AI Amazon Nova foundation models Amazon Quick Kiro Amazon Comprehend Amazon Rekognition Amazon Textract and Amazon Transcribe.

Partner with SAs Sales Business Development and the AI/ML service teams to accelerate customer adoption and revenue attainment in the AMERICAS for AWS generative AI and machine learning services with a focus on Amazon Bedrock Amazon Bedrock AgentCore Amazon SageMaker AI and the agentic AI portfolio.

Thought Leadership: Evangelize AWS GenAI/ML services and share best practices through forums such as AWS blogs whitepapers reference architectures sample code repositories and public-speaking events such as AWS Summit AWS re:Invent etc.

Act as a technical liaison between customers and the AWS Bedrock AgentCore SageMaker and broader AI/ML service teams to provide customer-driven product improvement feedback and feature requests.

Develop and support an AWS internal community of GenAI-related subject matter experts in the AMERICAS enabling field teams to identify qualify and position generative AI and agentic AI opportunities with their customers.

A day in the life
Most of your time is spent working directly with customers helping them figure out how to use generative AI and machine learning to solve real business problems.

On a given morning you might be on a video call with a team of engineers at a large company who want to build an AI agent that can process invoice documents. Youre sketching out an architecture on a virtual whiteboard asking questions about their data and helping them think through tradeoffs between different approaches. That afternoon youre prepping a demo for a different customer whos evaluating AWS against a competitor for a conversational AI use case. Later in the week youre on-site running a workshop where a customers ML team is building their first retrieval-augmented generation pipeline with you guiding them through it hands-on.

Youre typically focused on a single industry (think financial services or healthcare or manufacturing) so you build real familiarity with the problems regulations and data challenges in that space. Youll work with many different companies within your industry rather than being embedded at one or two for years. Some engagements last a few weeks others stretch over a couple months but the variety keeps things interesting.

Between customer conversations youre building things that help others learn what you know: writing a blog post about a pattern youve seen work well recording a short demo or building a reference architecture that your peers across the country can reuse. Youre also spending time helping other technical teams across the org understand how to spot AI/ML opportunities in their customer conversations.

Beyond the regular rhythm some weeks bring unexpected moments that make this role special. You might get asked to present a customer success story to an audience of thousands at re:Invent or get early access to a new service months before launch and help shape how it works based on what youve seen customers struggle with. Occasionally youll find yourself in an executive briefing room explaining agentic AI to a Fortune 500 CTO whos deciding where to place a multi-million dollar bet.

Travel runs about 20-30% mostly for customer workshops executive briefings and AWS events.

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.

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 - 151000.00 - 204300.00 USD annually
USA CA Irvine - 131300.00 - 177600.00 USD annually
USA GA Atlanta - 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 TX Austin - 131300.00 - 177600.00 USD annually
USA TX Dallas - 131300.00 - 177600.00 USD annually
USA WA Seattle - 131300.00 - 177600.00 USD annually