Senior Deep Learning Architect, Generative AI Innovation Center

Senior Deep Learning Architect, Generative AI Innovation Center

The Generative AI Innovation Center at AWS helps AWS customers accelerate the use of Generative AI and realize transformational business opportunities. This 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.

As a Senior Deep Learning Architect, you'll partner with technology and business teams to build solutions that surprise and delight our customers. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies.

We’re looking for Engineers and Architects capable of using generative AI and other ML techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.

Key Job Responsibilities

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

Minimum Qualifications

• Bachelor's degree, or experience in a professional field or military.
• Experience as a technical specialist in design and architecture.
• Experience in database (e.g., SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis).

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