Builder Solution Architect, AWS Product Marketing Demo Engineering

Summary

Amazon Web Services (AWS) is a cloud platform company seeking a Builder Solution Architect for its Product Marketing Demo Engineering team. The role focuses on designing production-quality demonstrations, developing code artifacts and sample projects, supporting analyst evaluations, and collaborating with cross-functional teams to showcase generative AI, machine learning, and AWS solutions.

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

Skills

• • 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
• • 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

Qualifications

Must Haves

• • 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

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

Benefits

• Sign-on payments
• Restricted stock units (RSUs)
• Health insurance, including medical, dental, vision, prescription, Basic Life & AD&D insurance, and an option for Supplemental life plans
• Employee Assistance Program (EAP)
• Mental Health Support
• Medical Advice Line
• Flexible Spending Accounts
• Adoption and Surrogacy Reimbursement coverage
• 401(k) matching
• Paid time off
• Parental leave
• Employee-led affinity groups
• Ongoing events and learning experiences, including Conversations on Race and Ethnicity (CORE) and AmazeCon conferences
• Knowledge-sharing, mentorship and other career-advancing resources
• Flexibility as part of the working culture