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Key job responsibilities
• Working closely with our product and field teams and 3rd party model providers, you will help enable new capabilities for our customers to develop and deploy GenAI workloads on AWS infrastructure
• Design best in class storage infrastructure solutions for all stages of customer and product lifecycles.
• You will have the technical depth and business experience to deploy storage and data strategies in the context of GenAI and ML applications.
• Partner with SAs, Sales, Business Development and Service teams to accelerate customer adoption and revenue attainment.
• You will also work closely with account teams, research scientists, and product teams to drive model implementations and new solutions.
• Thought Leadership - Evangelize and share best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re: Invent, etc.
• Act as a technical liaison between customers and the AWS teams to provide customer driven product improvement feedback.
• Develop and support an AWS internal community of related subject matter experts.
- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 3+ years of design, implementation, or consulting in applications and infrastructures experience
- 10+ years of IT development or implementation/consulting in the software or Internet industries experience
- 5+ years of infrastructure architecture, database architecture and networking experience
- Technical Communication Skills; able to bridge the gap between business outcomes and technical requirements.
- Familiarity with AI/ML and how Storage technology is leveraged for modern data solutions.
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