The Principal AI Engineer leads implementation work in the AI Innovation Lab, focusing on building technical infrastructure, developing AI prototypes, and establishing best practices in a cloud environment.
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The Principal/Senior AI Engineer will serve as the technical lead for all implementation work within the AI Innovation Lab.
This role is responsible for building the technical foundation and executing the initial pilots that will define the lab's success.
Responsibilities
Lead all technical implementation work for the AI Innovation Lab.
Design, set up, and maintain the technical infrastructure, including implementing a controlled AWS sandbox for safe exploration and development.
Establish guardrails and best practices for the development and testing of AI prototypes.
Execute initial pilots to validate AI concepts and use cases.
Build reusable patterns and templates within the AWS environment to ensure the lab builds repeatable capabilities.
Contribute to generating evidence-based recommendations for future productization of successful pilots.
Design, set up, and maintain the technical infrastructure, including implementing a controlled AWS sandbox for safe exploration and development.
Establish guardrails and best practices for the development and testing of AI prototypes.
Execute initial pilots to validate AI concepts and use cases.
Build reusable patterns and templates within the AWS environment to ensure the lab builds repeatable capabilities.
Contribute to generating evidence-based recommendations for future productization of successful pilots.
Requirements
Extensive experience as a technical lead, responsible for implementation work in an AI/ML context.
Deep expertise in setting up cloud-based technical infrastructure, specifically within an AWS environment.
Strong background in defining and implementing technical guardrails for safe AI exploration.
Proficiency in building reusable code patterns and templates for rapid prototyping.
Deep expertise in setting up cloud-based technical infrastructure, specifically within an AWS environment.
Strong background in defining and implementing technical guardrails for safe AI exploration.
Proficiency in building reusable code patterns and templates for rapid prototyping.
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