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Amazon GenAI Labs Builder Solutions Architect, AWS GenAI Labs in Boston, Massachusetts

Description

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 life

The 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 team

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.

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.

Preferred Qualifications

  • 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 committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,200/year in our lowest geographic market up to $204,300/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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

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