Builder Solution Architect, AWS Product Marketing Demo Engineering

Amazon • Seattle, WA

8h

About The Position

Are you passionate about innovation in Generative AI and Machine Learning? Do you have the technical skills in cloud software development to support organizational capabilities at AWS? Do you enjoy collaborating on projects, creating demos, and developing sample code that inspires customers? Join the AWS Product Marketing Demo Engineering team as a Builder Solution Architect!

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.

As a Demo Engineering SA, you'll work on innovative projects, collaborating with team members to create showcases for new products and features. You'll apply your software development skills to tackle projects with ambiguous problem statements, moving quickly as you work with field team stakeholders to develop use cases and solutions. You should be comfortable learning new concepts and tools quickly and contributing across different levels of the technology stack.
About AWS
Diverse Experiences
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, 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.

Inclusive Team Culture
Here at AWS, it’s 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.

Mentorship & 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.

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.

Requirements

• 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
• 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.
• Strong communication skills, capable of discussing technical details with engineers and engaging with diverse audiences.

Nice To Haves

• Experience collaborating with cross-functional teams, including field teams, Go-To-Market teams, and product teams.
• Public speaking skills with a willingness to develop experience presenting at internal and industry events.
• Ability to support innovation initiatives in evolving and ambiguous environments.
• Eagerness to learn from senior team members and contribute to team norms and standards.
• Experience working on code-based solutions for various GenAI use cases.

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.
• 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.

Benefits

• 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
• parental leave
• sign-on payments
• restricted stock units (RSUs)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed