AI Implementation Intern

Apache Industrial•Houston, TX

6d•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 leaders’ problems into working tools. This is a temporary, full-time internship scheduled to run from November 2026 to May 2027, starting upon offer acceptance. The position is hourly, in-office, and reports to the Business Intelligence Administrator.

Requirements

Be pursuing or hold a bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or a related field, or have equivalent hands-on experience.
Have working knowledge of large language models (LLMs) and prompt engineering.
Have experience with GitHub and version control.
Have experience with cloud deployment and cloud databases.
Have basic data and analytics knowledge, including working with tables, spreadsheets, and databases.
Communicate clearly with non-technical leaders and explain technical work in plain language.
Be able to turn a leader's description of a problem into clear requirements for a tool.
Use sound judgment when handling confidential company information.
Have strong communication and organizational skills.
Be able to work independently and as part of a team.
Be able to prioritize tasks and meet deadlines.
Be able to perform the essential functions of the position, with or without reasonable accommodation.
Be able 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, showing tools you have 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 LLMs 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.