GenAI Labs Builder Solutions Architect, GenAI Labs - AWS Tech Marketing
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 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 lifeThe GenAI Labs team is at the forefront of generative AI’s transformative impact on customers and industries. As a GenAI Labs Builder SA, you’ll work on innovative projects, developing high-quality code artifacts such as demos, sample code, and starter projects to inspire our customers. You’ll collaborate with team members to create showcases for new products and features, combining your skills in software development and agility. You’ll 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.About the teamDiverse ExperiencesAWS 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 BalanceWe 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, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere 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 GrowthWe’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- 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. ...