Amazon Sr Specialist Solutions Architect GenAI Startups 

United States, California, San Francisco 

795515389

This position specifically is part of the WWSO Startup team, where you will be a Specialist Solution Architect that helps Startups adopt AWS’ technologies with a focus on GenAI, among others. You will 1/Be the best storytellers and technologists, 2/Work with the most promising Startups, 3/Scale tech knowledge via products, programs, and the AWS Field, and 4/Gather critical Startup feedback to inform our product roadmaps.* Interact at the CxO/VP level, as well as with developers and technical architects, to ease adoption, develop pipeline, secure lighthouse customers, drive top-line revenue, and explore strategic partnerships.
* Become a trusted advisor within startup founders through Technical Thought Leadership and demonstrate AWS values.
* Develop and deploy programs that leverage AWS Field Solution Architect teams, as well as technology and consulting partner channels.* Guide and Support an AWS internal community of technical subject matter experts aligned to your domains. Create field enablement materials for the broader SA population to help them understand how to integrate new AWS solutions into customer architectures.

- 7+ 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
- Bachelor's degree
- 5+ years management of technical, customer facing resources
- 5+ years of hands-on experience with machine learning algorithms, model development, common frameworks, workflow tools, and applied AI

- Startup background and experience at a VC or PE-backed firm in a Technical Executive capacity.
- Familiarity with open-source software used by Startups and working knowledge of software development tools and methodologies common to Startups.
- Strong data-based storytelling skills with a high degree of comfort speaking with Startup executives and developers.
- Cloud expertise as demonstrated by one or more cloud certifications.
- Demonstrated ability to adapt to new technologies and learn quickly.
- Proficiency with design, deployment, and evaluation of LLM-powered agents and tools and orchestration approaches.
- Advanced degree highly preferred such as engineering, computer science, or MIS a plus.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.