Senior Worldwide Specialist Solutions Architect Bedrock, Data & AI GTM

Are you passionate about Generative AI (GenAI) Do you want to help define the future of Go to Market (GTM) at AWS using generative AI In this role you will help some of our largest customers build and deploy GenAI enabled applications using Amazon Bedrock and SageMaker fine tune and build Generative AI models and help enterprise customers leverage these models to power end applications. You will engage with AWS product owners to influence product direction and help our customers tap into new markets by utilizing GenAI along with AWS Services.

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.

AWS is looking for a Generative AI Solutions Architect who will be the Subject Matter Expert (SME) for helping customers in designing solutions that leverage our Generative AI services. You will interact with customers directly to understand the business problem help and aid them in implementation of generative AI solutions deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths for generative AI. As part of the Generative AI Worldwide Specialist organization you will work closely with other Solution Architects from various geographies to enable large-scale customer use cases and drive the adoption of Amazon Web Services for GenAI services. You will interact with other Data Scientists and Solution Architects in the field providing guidance on their customer engagements. You will develop white papers blogs reference implementations and presentations to enable customers and partners to fully leverage Generative AI services on Amazon Web Services. You will also create field enablement materials for the broader technical field population to help them understand how to integrate AWS Generative AI solutions into customer architectures. You drive effective feedback gathering from customers and you distill and translate that feedback into clear business and technical requirements for product and engineering teams to review.

You must have deep technical experience working with technologies related to large language models including LLM architectures model evaluation and fine-tuning techniques. You should be proficient with design deployment and evaluation of LLM-powered agents and tools and orchestration approaches. You must have experience with embedding model fine tuning and retrieval method evaluation approaches. You should understand the security and compliance requirements for ML/GenAI implementations. You must have experience with LangChain LLAMAIndex Data Augmentation Responsible AI and Performance Evaluation frameworks. You should have experience architecting end to end ML/Gen AI applications for customers using AWS services and Well Architected Framework.

Candidates must have great communication skills and be very technical with the ability to impress Amazon Web Services customers at any level from executive to developer. You will get the opportunity to work directly with senior ML engineers and Data Scientists at customers partners and Amazon Web Services service teams influencing their roadmaps and driving innovation.

Travel up to 30% may be possible.


Key job responsibilities
- Customer Advisor- Implement and deploy state of the art machine learning solutions under Gen AI. You will build prototypes PoCs and explore new solutions. You will interact closely with our customers.
- Thought Leadership Advocate for AWS GenAI services and share best practices through forums such as AWS blogs white-papers reference architectures and public-speaking events such as AWS Summit AWS re:Invent etc.
- Partner with Data Scientists SAs Sales Business Development and the Generative AI Service teams to accelerate customer adoption and providing guidance on their customer engagements.
- Act as a technical liaison between customers and the AWS Generative AI services teams to provide customer driven product improvement feedback.
- Develop and support an AWS internal community of GenAI related subject matter experts worldwide. Create field enablement materials for the broader technical population to help them understand how to integrate AWS GenAI solutions into customer architectures.

About the team
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.

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.

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 in the cloud.

Here at AWS its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.

AWS values diverse experiences. Even if you do not meet all of the 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.

- 4 years of design implementation or consulting in applications and infrastructures experience
- Experience in professional non-internship software development or experience with Machine Learning and Large Language Model fundamentals including architecture training/inference lifecycles and optimization of model execution
- Masters degree in a quantitative field such as statistics mathematics data science business analytics economics finance engineering or computer science
- 4 years of working with Data & AI related technologies including but not limited to AI/ML (Artificial Intelligence/Machine Learning) GenAI (Generative AI) Analytics Database and/or Storage experience

- Experience working with end user or developer communities
- Experience with training and deploying machine learning systems to solve large-scale optimizations
- Experience with distributed computing programs and systems
- Experience communicating with a wide range of stakeholders including colleagues and leadership or experience working with data analytics and using these metrics to identify problems
- Experience with AWS or cloud technologies
- Experience leading engineering discussions around technology decisions and strategy related to a product
- Experience in Kubernetes Docker or containers ecosystem

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.

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 San Francisco - 176600.00 - 239000.00 USD annually
USA NY New York - 169000.00 - 228600.00 USD annually
USA WA Seattle - 153600.00 - 207800.00 USD annually