Amazon Principal Solutions Architect GenAI Strategic Accounts 

United States, California, Cupertino 

542118204

AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the 8 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.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 BalanceKey job responsibilities
• Ensure success in designing, building and migrating applications, software, and services on the AWS platform.
• Interact with customers directly to understand business challenges, help and aid them in implementation of their ML ecosystem
• Educate customers on the value proposition of AWS and showcase the art of possible.
• Participate in deep architectural discussions and design exercises to create world-class solutions built on AWS while ensuring solutions are designed for successful deployment in the cloud.
• Author and contribute to AWS customer-facing publications such as whitepapers, workshops, demos and proof of concepts.
• Build deep relationships with senior technical individuals within customers to enable them to be cloud advocates.
• Capture and share best-practice knowledge amongst the AWS solutions architect community.
• Work with AWS Service teams in synthesizing customer and market feedback to evolve the AWS Services roadmap
A day in the life
The ideal candidate:
• Has deep expertise in AI/ML (specifically Generative AI).
• Has prior experience working as a Solution Architect.
• Is deeply technical and keeps their technical skills honed. Often helps teach new skills to others.
• Has a combination of design and architecture knowledge with development capability (comfortable on the white-board and also on the keyboard).
• Thrives in ambiguous situations and can bring focus and help deliver results.
• Communicates efficiently and effectively with both technical and non-technical audiences
• Is great fun to work with.

- 10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- Bachelor's degree in computer science, engineering, mathematics or equivalent
- 5+ years of design, implementation, or consulting experience in AI/ML (1+ in Generative AI specifically)
- Experience contributing to the system design (architecture, design patterns, reliability and scaling) of new and current GenAI systems.

- Masters or PhD degree in computer science, or related STEM field
- 5+ Years of experience working with Machine Learning and Data Science communities.
- 3+ years of experience working with AWS ML technologies.
- Strong working knowledge of deep learning, machine learning and statistics
- Deep knowledge of software development tools and methodologies and active, hands-on coding and AI/ML application design experience