Senior Worldwide Specialist Solutions Architect - GenAI, 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 Bedrock AgentCore and Strands. 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 help customers operationalize generative Al agentic workflows at AWS using Amazon Bedrock AgentCore and Strands Agents deployments from conception to production scale. You will collaborate with AWS service teams to drive product roadmaps based on customer feedback architect solutions for strategic enterprise customers and deliver technical guidance through white papers architecture blogs and GitHub samples. You will provide guidance to secure Agentic applications and workflows agent-to-agent communication protocols including MCP and ensure compliance with enterprise security frameworks. You will develop and lead technical workshops and establish best practices for operationalizing autonomous Al workflows. 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 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.

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 Cloud Platform teams GenAI Application Engineers/Architects and Data Scientists at customers partners and Amazon Web Services service teams influencing their roadmaps and driving innovation.
This role demands deep technical leadership to scale generative Al agents across global enterprise deployments while maintaining security compliance and operational excellence
Travel up to 30% may be possible.


Key job responsibilities
- Customer Advisor- Implement and deploy state of the art GenAI solutions. You will build prototypes PoCs and explore new solutions. You will interact closely with our customers.
- 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 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.

- 3 years of experience in end-to-end technical architecture design deployment and operations for Generative AI/ML platforms and applications.
- 3 year experience working with technologies related to large language models including LLM architectures model evaluation adapters model customization including pre-training and fine-tuning techniques.
- Experience with Agentic infrastructure frameworks such as bedrock AgentCore Google Vertex Al Agent SDK/ADK similar agentic platforms or migration between agent runtimes
- 2 year Experience with identity and credential management service designed specifically for AI agents and automated workloads
- Experience with orchestration frameworks such as CrewAI LangGraph LLAMA Index AutoGen etc
- Proficient with design deployment and evaluation of LLM-powered agents and tools and orchestration approaches.
- 8 years of specific technology domain areas (e.g. software development cloud computing systems engineering infrastructure security networking data & analytics) experience.
- Masters degree in a quantitative field such as statistics mathematics data science business analytics engineering or computer science.

- Agent communication protocols: Hands-on with MCP (Model Context Protocol) A2A (Agent-to-Agent) and multi-vendor agent interoperability.
- Technical thought leadership: Published blogs conference presentations GitHub contributions or research on agentic Al and enterprise automation.
- Multimodal agent development: Experience with vision audio code interpretation and complex reasoning workflows in production environments.
- Experience with Container Platforms (Docker Kubernetes/Fargate).
- Experience with Performance benchmarking and developing prescriptive guidance on optimally building deploying and monitoring ML models on AWS to drive actions at scale to provide low prices and increased selection for customers.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

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.