AI Intern (Data & AI team)

Cardinal Group CareerDenver, CO

About The Position

As an AI Solutions Intern, you will be part of a team dedicated to transforming manual processes into automated, intelligent solutions. You will spend your summer researching, prototyping, and testing AI-driven tools that help our company operate more efficiently. This role is designed for a technical student who is passionate about AI/ML and wants to move beyond basic chat interfaces to build functional, multi-step AI agents that help us work smarter.

Requirements

  • Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence,Data Science, Software Engineering, or a related technical field.
  • Foundational experience with Python
  • Strong prompt engineering skills
  • The ability to break down a complex human process into a series of logical, repeatable steps that a machine can execute.
  • A proactive attitude toward learning. You enjoy the trial and error process of building new technology and are comfortable iterating based on feedback.
  • Ability to translate technical concepts into simple, clear language for non-technical team members.

Nice To Haves

  • Exposure to LLM APIs is desirable
  • Familiarity with Cloud environments is desirable

Responsibilities

  • Conduct hands-on R&D using the Google Cloud Platform to explore new and emerging use cases for generative AI.
  • Build and iterate on proof of concept solutions designed to automate high-volume, repetitive tasks. You will help validate the feasibility of new AI tools before they are moved into production.
  • Contribute to our collaboration with various internal departments to map out existing manual workflows and identify specific areas where AI-driven automation can save time and reduce errors
  • Support internal governance initiatives by testing models for accuracy, monitoring for hallucinations, and helping document the safety protocols that ensure AI outputs are reliable and secure
  • Assist in the configuration and testing of automated workflows, ensuring that AI agents can interact with internal systems effectively to deliver high-quality results
  • Create clear, accessible documentation and training resources (such as FAQs or video guides) to help team members understand how to use and provide feedback on new AI tools.
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