Amazon Principal Solutions Architect Generative AI Startups AWS 

United States, California, San Francisco 

848704067

We are looking for technical builders who love the idea of working with early stage life sciences startups to help them as they grow. In this role, you’ll work directly with a variety of interesting life sciences customers (such as drug discovery, next gen sequencing, and diagnostics startups) and help them make the best (and sometimes the most pragmatic) technical decisions along the way. You’ll have a chance to build enduring relationships with these companies and establish yourself as a trusted advisor.As a member of the Generative AI Startups team, you will work directly with customers to help them successfully leverage cutting-edge AWS technology to develop, train, tune, and deploy the next generation of generative AI foundation models at scale.As well as spending time working directly with customers, you’ll also get plenty of time to learn new technologies and keep your skills fresh. We have 200+ services across a range of different categories and it’s important that we can help startups take advantages of the right ones. You’ll also play an important role as an advocate with our product teams to make sure we are building the right products and features for the startups you work with. And for the customers you don’t get to work with on a 1:1 basis you’ll share knowledge more broadly by working on technical content and presenting at events.Key job responsibilities
- Help a diverse range of generative AI-focused startups to adopt the right architecture at each part of their lifecycle
- Support startups in architecting scalable, reliable and secure solutions
- Establish and build technical relationships within the startup ecosystem, including accelerators, incubators and VCs
A day in the life
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred 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
Work/Life BalanceMentorship and 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.

- 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
- Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications

- Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers
- Experience architecting, migrating, transforming or modernizing customer requirements to the cloud
- 5+ years of infrastructure architecture, database architecture and networking experience
- Experience working with end user or developer communities
- Experience working with Python and generative AI libraries and frameworks such as PyTorch, JAX, TensorFlow
- Understanding of technical details and techniques used in tuning generative AI foundation models using techniques like RAG, PEFT, RLHF, DPO
- Experience scaling model training and inference using technologies like Slurm, ParallelCluster, Amazon SageMaker
- Experience with related technology areas such as distributed filesystems and high performance networkingPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.