Senior Solutions Architect - GenAI and Machine Learning, 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 unwavering 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 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) Generative AI Services like Amazon Bedrock and Amazon Q to build GenAI powered applications.

AWS is looking for a Machine Learning Solutions Architect (ML SA) who will be the Subject Matter Expert (SME) for helping Restaurants Retail and Consumer Packaged Goods (RRCG) customers 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
- Provide customers with deep technical expertise in Generative AI Traditional AI and Machine Learning with AWS products to meet their business objectives.
- Collaborate with specialist sales marketing and products teams to ideate around your customers most challenging problems.
- Act as a trusted advisor to line of business AI Data and C-suite leaders.
- Lead architectural reviews and workshops to advance your customers technical objectives.
- Act as a thought leader sharing best practices through forums such as AWS blogs whitepapers reference architectures and public-speaking events such as AWS Summit AWS re: Invent etc. Participate as a leader in AWS technical communities.
- Educate customers on the value proposition of AWS and participate in architectural discussions to ensure solutions are designed for successful deployment in the cloud.
- Provide data and anecdotes on what is working and what is not back to the larger specialist community and product teams. Act as primary point of contact for urgent customer issues in your technical specialty.
- Thought Leadership and External Representation: Serve as a thought leader in the Generative AI space representing AWS at industry events and conferences such as AWS re:Invent.
- Develop technical content workshops and thought leadership to enable the broader technical community including Solution Architects Data Scientists and Technical Field Community members.
- We prefer this candidate to have a track record of thought leadership and innovation around Machine Learning Comfortable presenting to senior data and AI leaders and have demonstrated ability to think strategically about business product and technical challenges in an enterprise environment.

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
- 10 years of IT development or implementation/consulting in the software or Internet industries experience
- Experience with design deployment and evaluation of LLM-powered agents and orchestration

- Experience delivering analytic solutions for AI workloads.
- Experience with open-source frameworks for building applications powered by language models like LangChain LlamaIndex and Whylabs etc.
- Experience designing developing and optimizing prompts and templates that guide LLM behavior.
- Experience with design deployment and evaluation of LLM-powered agents and orchestration.
- Advanced degree in a quantitative field such as statistics mathematics data science business analytics economics finance engineering or computer science.

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.