Amazon Principal GenAI Specialist Solutions Architect Training & Inference 

United States, Texas, Austin 

715355062

AWS Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. As part of the AWS sales organization, SSAs work with customers who have complex challenges that require expert-level knowledge to solve. SSAs craft scalable, flexible, and resilient technical architectures that address those challenges. This might involve guiding customers as they refactor an application or designing entirely new cloud-based systems.Key job responsibilities
You will help develop the industry’s best cloud-based solutions to grow the GenAI business. Working closely with our engineering teams, you will help enable new capabilities for our customers to develop and deploy GenAI workloads on AWS. You will facilitate the enablement of AWS technical community, sales, and solution architects with specific customer centric value proposition and demos about end-to-end GenAI on AWS cloud.You will possess a business and technical background that enables you to drive an engagement and interact at the highest levels with startups, Enterprises, and AWS partners. You will have the technical depth and business experience to easily articulate the potential and challenges of GenAI models and applications to engineering teams and C-Level executives. This requires deep familiarity across the stack – compute infrastructure, ML frameworks, orchestration layers, large models, frameworks like LangChain for developing applications powered by GenAI models, MLOPs, as well as target use cases in the cloud.You will drive the development of the GTM plan for building and scaling GenAI on AWS, interact with customers directly to understand their business problems, and help them with defining and implementing scalable GenAI solutions to solve them (often via proof-of-concepts). You will also work closely with account teams, research scientists, and product teams to drive model implementations and new solutions.Austin, TX, USA

- 10+ 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
- Bachelor’s degree in technical discipline with 8+ years of technical design / implementation / consulting experience.
- Experience with GenAI models across training, inference, MLOPs, and/or developing GenAI applications
- 5+ years of experience training large models across compute types (e.g., GPUs, custom instances), and developing applications powered by GenAI models
- Deep hands-on understanding of deep learning and other ML algorithms and infrastructure

- 5+ years of infrastructure architecture, database architecture and networking experience
- Experience working with end user or developer communities
- 8+ years of pre-sales engineering, technical business development, enterprise sales, strategic partnerships, or program/product management experience
- Thorough understanding of AI/ML technology stack
Experience with cloud computing and or related fields
- Experience with one or more general purpose programming languages, including but not limited to: C/C++, C#, Python