AI Implementation Intern

Apache Industrial•Houston, TX
•Onsite

About The Position

As an AI Implementation Intern at Apache Industrial, you will work with executive and operational leaders to understand their needs and collaborate with the Business Intelligence team to build in-house systems and tools. The work uses large language models (LLMs), cloud services, and company data to turn business problems into working tools. This is a temporary, full-time internship of 40 hours per week, performed in office. The target period is November 2026 to May 2027, starting upon offer acceptance. The role reports to the Business Intelligence Administrator and does not supervise others.

Requirements

  • Pursuing or holding a bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or a related field, or equivalent hands-on experience.
  • Working knowledge of large language models (LLMs) and prompt engineering.
  • Experience with GitHub and version control.
  • Experience with cloud deployment and cloud databases.
  • Basic data and analytics knowledge, including working with tables, spreadsheets, and databases.
  • Ability to communicate clearly with non-technical leaders and explain technical work in plain language.
  • Ability to turn a leader's description of a problem into clear requirements for a tool.
  • Sound judgment in handling confidential company information.
  • Strong communication and organizational skills.
  • Ability to work independently and as part of a team.
  • Ability to prioritize tasks and meet deadlines.
  • Ability to perform the essential functions of the position, with or without reasonable accommodation.
  • Ability to sit, stand, walk, bend, reach, and use hands as required for the position.

Nice To Haves

  • Experience with SQL and Python.
  • Experience with Power BI or another reporting and analytics tool.
  • A portfolio of software or AI projects, such as a GitHub profile, demonstrating tools built.

Responsibilities

  • Meet with executive and operational leaders to understand their needs and the problems they want solved.
  • Work with the Business Intelligence team to design and build in-house systems and tools.
  • Write and test prompts for large language models and build AI tools that automate routine tasks.
  • Manage code in GitHub and support cloud deployment of tools and databases.
  • Collaborate with team members, leaders, and other departments.
  • Manage priorities and complete tasks in a timely manner.
  • Support a professional, safe, and productive work environment.
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