Senior Solutions Architect for Generative AI, AGS Technology Advancement

2 weeks ago


Austin, Texas, United States Amazon Full time

About the Role
The Amazon Web Services (AWS) Tech Advancement Solutions (TAS) Architect team collaborates with clients and AWS technology innovators to craft and implement highly scalable, adaptable, and robust cloud infrastructures and solutions.

AWS TAS Solutions architects engage with clients, AWS Global Sales, Marketing, and Services teams to develop cutting-edge solutions that streamline customer engagement with AWS Cloud services.

Your Impact
As a Senior Solutions Architect on the AWS Global Sales Tech Advancement Solutions (TAS) team, you will play a pivotal role in shaping and executing strategies that foster deep adoption and widespread utilization of AWS Generative AI among AWS technology builders and clients.

Key Responsibilities
In your capacity as a Senior Solutions Architect for Generative AI within the AGS TAS organization, you will:

  • Leverage your extensive knowledge in Generative AI prompt engineering, user experience design, data management, and architecture to expedite the creation of innovative, scalable productivity solutions that utilize Generative AI.
  • Guide and mentor others in developing reusable Generative AI resources (including prompt libraries, design templates, and use case starter kits) that assist AGS technology builders in selecting the appropriate Generative AI architectures for their client applications.
  • Promote AWS Generative AI services and disseminate best practices through various channels such as AWS blogs, white papers, reference architectures, and public speaking engagements.
  • Collaborate with Sales, Technology, and Services teams across AWS to prioritize solutions that will enhance customer adoption of Generative AI services.
  • Continuously benchmark to elevate the innovation, quality, and delivery speed of solutions.
  • Identify and implement opportunities to integrate TAS open-source methodologies into AGS technology and AWS cross-organizational operational frameworks.

About the Team
The AGS TAS team is a global unit with members located across various regions.

Our Mission
We aim to empower AGS builders and AWS clients to derive greater business value from AWS cloud with minimal effort.

Why Choose AWS?
Amazon Web Services (AWS) stands as the most comprehensive and widely adopted cloud platform in the world. We pioneered cloud computing and have consistently innovated, earning the trust of customers ranging from successful startups to Global 500 companies.

Inclusive Team Culture
At AWS, we foster a culture of learning and curiosity. Our employee-led affinity groups promote an inclusive environment that celebrates our differences.

Mentorship & Career Development
We are committed to raising our performance standards as we strive to become the best employer. You will find abundant knowledge-sharing, mentorship, and career advancement resources to help you grow as a well-rounded professional.

Work-Life Balance
We prioritize work-life harmony, ensuring that success at work does not come at the expense of personal sacrifices.

Basic Qualifications
- 10+ years of experience in specific technology domains (e.g., software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics).
- Bachelor's degree in computer science, engineering, mathematics, or a related field.
- Proven experience in developing technology solutions and advocating for comprehensive technology roadmaps that guide IT transformations towards cloud computing.
- Proficient in communicating with both technical and non-technical audiences, including C-level executives.

Preferred Qualifications
- Experience with CI/CD solutions in the context of MLOps and LLMOps, including automation with Infrastructure as Code (IaC).
- Knowledge of distributed systems design and implementation.
- Familiarity with database design and implementation.

Amazon is dedicated to fostering a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.



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