AI Engineer Intern (2027)

Ingersoll Rand•Davidson, NC

About The Position

The AI Engineer internship offers aspiring artificial intelligence professionals the opportunity to contribute to the development and delivery of enterprise-grade Generative AI solutions. Interns work closely with the Data Science team to build new Generative AI applications or maintain and enhance existing ones, with a focus on generating value across Demand Generation, Sales, Finance, Supply Chain, and Corporate Operations. Interns gain hands-on experience with tools and platforms including Snowflake, Cortex AI, Microsoft Copilot Studio, and custom-built AI-agent solutions. The role is suited to candidates with a foundation in Python and SQL and an interest in applying Generative AI to real-world challenges.

Requirements

  • Successful completion of undergraduate coursework or a reputable trade program in computer science, data science, or a related technical field.
  • Proficiency in Python and SQL.
  • Exposure to Generative AI development, LLM integration, and RAG techniques.
  • Familiarity with data warehouses such as Snowflake and AI platforms including Snowflake Cortex AI, Microsoft Copilot Studio, and N8N.
  • Understanding of software engineering principles and enterprise solution development.
  • Trustworthiness and a history of acting with integrity, taking pride in work, seeking to excel, being curious and adaptable, and communicating effectively.
  • Solid written and verbal communication skills.
  • Ability to work with diverse teams.
  • Organized and punctual.
  • Confidence combined with humility and willingness to learn and take initiative.
  • Undergraduate hands-on and general knowledge coursework in AI engineering or data science.
  • Demonstrated hands-on lab experience in coding, analysis, and documentation.
  • Ability to discuss AI or software projects completed during education and training.

Nice To Haves

  • Working toward completion of an undergraduate or graduate degree in computer science, data science, engineering, or a related technical field.
  • Recommendations from previous instructors and internship sponsors.
  • Certificates obtained during coursework, such as in AI, machine learning, or cloud platforms.

Responsibilities

  • Follow and execute directives issued by Data Science team members.
  • Develop and maintain features for Generative AI solutions.
  • Collaborate with cross-functional teams to understand business needs and translate them into AI capabilities.
  • Work with Snowflake as a data warehouse to support AI workflows.
  • Use platforms such as Cortex AI and Microsoft Copilot Studio to build AI agents.
  • Contribute to embedding LLMs into enterprise applications and support Retrieval-Augmented Generation (RAG) implementations.
  • Create documentation and presentation materials to support solution development and delivery.
  • Monitor solution performance and metrics, escalating issues as needed.
  • Perform other duties as assigned.
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