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Sr Worldwide Specialist Solutions Architect, GenAI Amazon Bedrock GTM, Bedrock GTM

AWS


Job Location:

Seattle, WA - USA

Monthly Salary: Not provided by the employer
Posted: 19 June 2026 (30+ days ago)
Application Deadline: 16 September 2026
Vacancies: 1 Vacancy
The job posting is outdated and position may be filled

Job Summary

AWS is looking for a Senior Solutions Architect who will be the Subject Matter Expert (SME) for helping customers in designing and optimizing solutions that leverage our Generative AI services. As part of the Worldwide Specialist Solutions Architecture team supporting Amazon Bedrock you will work closely with other Specialist GenAI Architects from various geographies to enable large-scale customer use-cases and drive the adoption of Amazon Web Services for AI platforms. You will partner with Solution Architects and other Data Scientists in the field providing guidance on their customer engagements and you will develop white papers blogs reference implementations and presentations to enable customers and partners to fully leverage GenAI on Amazon Web Services. You will also create field enablement materials for the broader SA population to help them understand how to integrate Amazon Web Services ML 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 may continue to sponsor the creation of new products and features from these requirements working closely with product and engineering teams to minimize requirements drift from your customers needs.

You must have deep technical experience working with technologies related to multimodal image generation from model fine-tune to prompt engineering. A strong developing machine learning background is preferred in addition to experience building application and architecture design. You will be familiar with the ecosystem of software vendors in the AI/ML space and will leverage this knowledge to help Amazon Web Services customers in their selection process.
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. Previous experience with Amazon Web Services is desired but not required provided you have experience building large scale solutions. 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.

Key job responsibilities
* Thought Leadership Evangelize 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 SAs Sales Business Development and the AI/ML Service teams to accelerate customer adoption and providing guidance on their customer engagements.

* Act as a technical liaison between customers and the AWS Bedrock service teams to provide customer driven product improvement feedback.

* Develop and support an AWS internal community of ML related subject matter experts worldwide.

* Create field enablement materials for the broader SA population to help them understand how to integrate Amazon Web Services GenAI solutions into customer architectures.

* Customer Advisor- Implement and deploy state of the art machine learning algorithms under Gen AI. You will build prototypes PoCs and explore new solutions. You will interact closely with our customers and with the academic community.

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
- 7 years of IT development or implementation/consulting in the software or Internet industries experience
- Experience leading the architecture and development of GenAI systems and platforms.
- Experience with architecting AI systems with LLMs and custom models experience with model customization/fine-tuning.
- Experience with Machine Learning and Large Language Model fundamentals including architecture training/inference lifecycles and optimization of model execution or experience working with PyTorch
- 3 years of experience in end to end technical architecture design deployment and operations for Generative AI/ML platforms and applications.
- Proficient with design deployment and evaluation of LLM-powered agents and tools and orchestration approaches.
- Proficient with prompt engineering function calling agentic workflows embedding model fine tuning and retrieval method evaluation and optimization approaches.

- 5 years of specific technology domain areas (e.g. software development cloud computing systems engineering infrastructure security networking data & analytics) experience
- Knowledge of AWS services market segments customer base and industry verticals

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 Mountain View - 176600.00 - 239000.00 USD annually
USA NY New York - 169000.00 - 228600.00 USD annually
USA TX AUSTIN - 153600.00 - 207800.00 USD annually
USA VA Arlington - 153600.00 - 207800.00 USD annually
USA WA Seattle - 153600.00 - 207800.00 USD annually


Required Experience:

Senior IC


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