At AWS Professional Services (Pro Serve), 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 industries—financial 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.

You'll 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, you'll 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 Gen

AI 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, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s 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, there’s nothing we can’t 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:

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Basic Qualifications

• Bachelor's 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

Preferred Qualifications

• 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 Sage Maker

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 https://amazon.jobs/en/benefits.

USA, VA, Arlington - 153,600.00 - 207,800.00 USD annually