About the Job
The Generative AI Innovation Center at AWS helps customers accelerate the use of Generative AI and realize transformational business opportunities. As a Deep Learning Architect, you'll partner with technology and business teams to build innovative solutions that exceed customer expectations. This role involves collaborating with customers directly to understand their business challenges and aid them in implementing generative AI solutions. You will also create reusable technical assets to streamline the adoption of generative AI on the AWS platform.
Key Job Responsibilities
- Collaborate with ML scientists and engineers to research, design and develop cutting-edge generative AI algorithms.
- Work across customer engagement to understand effective adoption patterns for generative AI and share insights across teams.
- Directly interact with customers to comprehend business problems and guide them through implementing generative AI solutions.
- Create and deliver best practices, tutorials, blog posts, and presentations for a variety of stakeholders.
- Provide customer and market feedback to Product and Engineering teams to help shape product direction.
Requirements
- Bachelor’s degree in computer science, engineering, mathematics, or a related field.
- Experience in design, implementation, or consulting for applications and infrastructures.
- Proven knowledge of deep learning and experience hosting or deploying ML solutions.
Preferred Qualifications
- MSc degree in computer science, engineering, mathematics, or a related field.
- Hands-on experience building applications with large foundation models in Generative AI.
- Familiarity with the AWS platform and tools, including experience in building ML solutions on AWS.
- Experience in professional software development and a strong scientific thinking ability.
This position offers the opportunity to innovate in a dynamic organization, contributing to groundbreaking projects and technologies in the realm of generative AI.
