GenAI Experiences Demo Architect , AWS Professional Services

At AWS Professional Services (ProServe) we build customer solutions that accelerate business outcomes and reinvent customer and employee experiences. The Generative AI Experience Center Solutions Specialist role creates industry-grade demonstrations that provide AWS customers with real-time buying capability in a physical space.

You will educate customers and partners on AI technologies transforming industriesfinancial services public sector and healthcare across automated reasoning physical AI digital solutions regulatory compliance and advanced analytics. You will build high-quality demonstrations provide technical guidance to activate solutions and offer hands-on architectural guidance for customer projects involving AWS services and ISV/partner solutions.

As the primary guide for customers visiting the GenAI Experience Center you will deliver compelling tours that translate technical capabilities into business value. You will present demonstrations in one-on-one and group settings adapting your approach based on customer industry technical background and business objectives. You will facilitate hands-on experiences with our rotating showcase of pan-Amazon innovations and partner solutions.

Youll collaborate with cross-Amazon teams to develop outcome-based solutions for strategic opportunities and work with partner teams to maintain demonstration readiness and gather customer feedback. Your insights will inform future demonstration development and identify follow-up engagement opportunities.

In this role youll serve as demo creator storyteller presenter and customer advocate creating memorable experiences that drive meaningful conversations about AI transformation and generate pipeline opportunities for AWS and our partners.

Key job responsibilities
Deliver engaging tours of the GenAI Experience Center for customers and partners
Adapt presentations based on audience industry role and technical expertise
Facilitate hands-on demonstrations and interactive experiences
Gather customer feedback and insights to improve the visitor experience
Coordinate with internal teams to ensure demonstration readiness
Support pipeline tracking and follow-up engagement coordination


About the team
ABOUT AWS:

Diverse Experiences
Amazon 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.

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 in the cloud.

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 and 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.

- Bachelors degree or 7 years of professional or military experience
- 5 years of cloud architecture and solution implementation experience
- Experience with AI/ML technologies
- 2 years of hands on experience with Python to build train and evaluate models

- Knowledge of AWS services including compute storage networking security databases machine learning and serverless technologies
- Experience communicating technical concepts to diverse audiences in pre-sales environments
- degree in advanced technology
- AWS Professional level certification
- Knowledge of deep learning machine learning and statistics
- Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker

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.

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 VA Arlington - 153600.00 - 207800.00 USD annually