Senior Deep Learning Architect, Generative AI Innovation Center

11 hours ago


Milan, Ohio, United States Amazon Full time
Job Description

The Generative AI Innovation Center at AWS is a program that pairs you with AWS science and strategy experts with deep experience in AI/ML and generative AI techniques to imagine new applications of generative AI to address your needs, identify new use cases based on business value, and integrate Generative AI into your existing applications and workflows.

About the Team

Our team is a cross-functional team of ML scientists, engineers, architects, and strategists working step-by-step with customers to build bespoke solutions that harness the power of generative AI.

Key Responsibilities
  1. Collaborate with ML scientists and engineers to research, design, and develop cutting-edge generative AI algorithms to address real-world challenges.
  2. Work across customer engagement to understand what adoption patterns for generative AI are working and rapidly share them across teams and leadership.
  3. Interact with customers directly to understand the business problem, help and aid them in the implementation of generative AI solutions, deliver briefing and deep dive sessions to customers, and guide customers on adoption patterns and paths for generative AI.
  4. Create and deliver reusable technical assets that help to accelerate the adoption of generative AI on the AWS platform.
  5. Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders.
  6. Provide customer and market feedback to Product and Engineering teams to help define product direction.
Why AWS?

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Basic Qualifications
  • Several years of experience in design, implementation, or consulting in applications and infrastructures.
  • Bachelor's degree in computer science, engineering, mathematics, or equivalent, or experience in a professional field or military.
  • Experience architecting or deploying Cloud/Virtualization solutions in enterprise customers.
  • Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients.
  • Proven knowledge of deep learning and experience hosting and deploying ML solutions (e.g., for training, tuning, and inferences).
Preferred Qualifications
  • Proven knowledge of Generative AI and hands-on experience of building applications with large foundation models.
  • Proven knowledge of the AWS platform and tools.
  • Hands-on experience of building ML solutions on AWS.
  • Experience in professional software development.
  • Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field.

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