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 Tech Product Marketing GenAI Labs team as a Builder Solution Architect!
Key job responsibilities
Apply your technical skills to support the design and implementation of innovative code-based solutions for various GenAI use cases.
Contribute to the creation and publication of code artifacts including demos sample code and starter projects to help customers build with AWS GenAI services.
Assist in establishing coding standards and best practices collaborating with senior team members to maintain project structure and coding/testing practices.
Work closely with field team stakeholders GTM teams and service teams to understand use cases and explore solution options.
Share best practices through internal forums such as AWS blogs and reference architectures and support team efforts at AWS events.
Support AWS technical communities by helping create enablement materials and assisting team members in understanding how to integrate AWS GenAI solutions into customer architectures.
A day in the life
AWS Sales Marketing and Global Services (SMGS) is responsible for driving revenue adoption and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.
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.
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.
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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.
Inclusive Team Culture
Here at AWS its 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 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
About the team
The GenAI Labs team is at the forefront of generative AIs transformative impact on customers and industries. As a GenAI Labs Builder SA youll work on innovative projects developing high-quality code artifacts such as demos sample code and starter projects to inspire our customers. Youll collaborate with team members to create showcases for new products and features combining your skills in software development and agility. Youll also contribute to projects with ambiguous problem statements working closely 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 GenAI stack. Your role will also include supporting learning content creation and participating in knowledge-sharing sessions with customers and partners.
- 2 years of design implementation or consulting in applications and infrastructures experience
- 5 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.
- 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.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118200/year in our lowest geographic market up to $204300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.