Builder Solution Architect, AWS Product Marketing Demo Engineering

About the role

The AWS Product Marketing Demo Engineering team is at the forefront of showcasing AWS's transformative impact on customers and industries. We create high-quality technical demonstrations that inspire, from CEO keynote demos at re:Invent to immersive experiential activations at major industry conferences and trade shows. We create production-quality demos for AWS's highest-priority and most visible product launches—spanning generative AI, agentic solutions, and critical infrastructure.

Responsibilities

• Design and implement production-quality technical demonstrations for service launches, events, sales enablement, and experiential activations across AWS services.
• Develop high-quality code artifacts including demos, sample code, and starter projects.
• Support responses to critical analyst evaluations such as Gartner Magic Quadrant and Forrester Wave assessments.
• Contribute to demo standards and best practices, collaborating with team members to maintain bar-raising quality in project structure, coding, and testing.
• Possess public speaking skills with a willingness to develop experience presenting at internal and industry events.
• Partner with field teams, GTM teams, service teams, and cross-functional stakeholders to understand use cases and develop demonstration solutions.
• Share knowledge through internal forums, AWS blogs, and reference architectures; contribute to enablement materials that help teams integrate AWS solutions into customer architectures.

Qualifications

• 2+ years of design, implementation, or consulting in applications and infrastructures experience.
• 4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience.
• Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders.
• Understanding of Generative AI and Machine Learning frameworks, concepts, and technologies.
• Proficiency in CDK, Python, TypeScript and in programming languages and tools relevant to AI/ML and cloud development.