Amazon Sr Specialist Solutions Architect GenAI Model 

United States, California, San Francisco 

780435063

Key job responsibilities
You will help develop the industry’s best cloud-based solutions to grow the GenAI business. Working closely with our product and field teams, customers, and 3rd party model providers, you will help enable new capabilities for our customers to develop and deploy GenAI workloads on AWS. This involves activities like market sizing, building an opportunity pipeline, working with customers to understand technical requirements for proof-of-concepts (POC), creating content to train the field teams, and driving thought-leadership.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.

- 10+ 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.
- Strong verbal and written communications skills and ability to lead effectively across organizations.

- Master’s Degree or PhD in Engineering or related STEM field.
- 10+ 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.
- Good communication skills, business, and financial acumen.
- Demonstrated ability to work effectively across internal and external organizations is key.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.