Senior Generative AI Solutions Architect

3 weeks ago

Lorton, Virginia, United States Amazon Web Services, Inc. Full time
About the Role

We are seeking a highly skilled Senior Generative AI Solutions Architect to join our team at Amazon Web Services, Inc. This is an exciting opportunity to work with cutting-edge technology and contribute to the development of innovative solutions.

Key Responsibilities:

  • Evangelize AWS GenAI services and share best practices through forums such as AWS blogs, white-papers, reference architectures, and public-speaking events.
  • Partner with Solution Architects, Sales, Business Development, and the AI/ML Service teams to accelerate customer adoption and provide guidance on their customer engagements.
  • Act as a technical liaison between customers and the AWS SageMaker services teams to provide customer-driven product improvement feedback.
  • Develop and support an AWS internal community of ML-related subject matter experts worldwide.
  • Create field enablement materials for the broader SA population to help them understand how to integrate Amazon Web Services GenAI solutions into customer architectures.

About the Team

The Worldwide Specialist Organization (WWSO) works backwards from customers to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as one team.

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.

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.

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 empowers 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.

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.

BASIC QUALIFICATIONS

  • 8+ years of specific technology domain areas (e.g., software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience.
  • 3+ years of design, implementation, or consulting in applications and infrastructures experience.
  • 10+ years of IT development or implementation/consulting in the software or Internet industries experience.

PREFERRED QUALIFICATIONS

  • 5+ years of infrastructure architecture, database architecture, and networking experience.
  • Experience working with end-user or developer communities.
  • Experience managing data pipelines.
  • Experience as a leader and mentor on a data science team.
  • Active in the open source community, such as HuggingFace, StableDiffusion, etc.
  • Large models pretrain/fine-tuning experience, familiar with distributed training.

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