Amazon Sr Specialist Solutions Architect Storage ENT Data & AI 

United States, California, San Francisco 

587583623

AWS is looking for a Storage Solution Architect, who will be the Subject Matter Expert (SME) for helping customers in designing solutions that leverage our AWS Storage services. As part of the GTM Specialist Solutions Architecture team, you will work closely with other Specialist Machine Learning Architects and Data/Storage architects from various geographies to enable large-scale customer use cases and drive the adoption of Amazon Web Services for Data and AI/ML. You will interact with other Solution Architects in the field, providing guidance on their customer engagements, and you will develop white papers, blogs, reference implementations, and presentations to enable customers and partners to fully leverage Data and AI/ML on Amazon Web Services. You will also create field enablement materials for the broader SA population, to help them understand how to integrate Amazon Web Services ML solutions into customer architectures. . You drive effective feedback gathering from customers, and you distill and translate that feedback into clear business and technical requirements for product and engineering teams to review. You may continue to sponsor the creation of new products and features from these requirements, working closely with product and engineering teams to minimize requirements drift from your customer’s needs.You must have deep technical experience working with technologies related to multimodal, image generation, from model fine-tune to prompt engineering. A strong developing machine learning background is preferred, in addition to experience building application and architecture design. You will be familiar with the ecosystem of software vendors in the Storage space, and will leverage this knowledge to help Amazon Web Services customers in their selection process.Key job responsibilities
- Thought Leadership – Evangelize AWS Storage services and share best practices through forums such as AWS blogs, white-papers, reference architectures and public-speaking events such as AWS Summit, AWS re:Invent, etc.- Customer Advisor- Implement, and deploy state of the art machine learning algorithms under Storage, Data and AI. You will build prototypes, PoCs, and explore new solutions. You will interact closely with our customers and with the academic community.
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.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.

- 7 years of design, implementation, or consulting in applications and infrastructures experience
- 5+ years management of technical, customer facing resources
- 5 years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience

- 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 trainingPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.