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Apache Industrial Holdings

AI Implementation Intern

United States

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Job details

Working hours: 40 hours per week
Posting language: English
Posted: Nov 9, 2026

Original job description

Job Description

AI IMPLEMENTATION INTERN

Short Description: We currently have an opening as an AI Implementation Intern who will report to the Business Intelligence Administrator. Position Supervises: None Position Structure: Temporary Internship (target November 2026 to May 2027, starting upon offer acceptance) / Full Time, 40 hours per week / Hourly / In Office.

WHAT APACHE INDUSTRIAL HAS TO OFFER

Apache Industrial offers career opportunities for both Craft and Non-Craft employees. Whether you work in the field or support our operations from the office, you’ll be part of a team that values safety, teamwork, and quality. We provide opportunities to gain experience, grow, and advance your career while working alongside experienced and supportive teammates. At Apache Industrial, every role plays an important part in our success.

POSITION OVERVIEW: As an AI Implementation Intern at Apache, you will be responsible for working with executive and operational leaders to understand what they need, then collaborating with the Business Intelligence team to build in-house systems and tools that meet those needs. The work uses large language models (LLMs), cloud services and company data to turn a leader's problem into a working tool.

A TYPICAL DAY MIGHT INCLUDE:

Meeting with executive and operational leaders to understand their needs and the problems they want solved
Working with the Business Intelligence team to design and build in-house systems and tools that meet those needs
Writing and testing prompts for LLMs and building AI tools that automate routine tasks
Managing code in GitHub and supporting cloud deployment of tools and databases
Collaborating with team members, leaders, and other departments
Managing priorities and completing tasks in a timely manner
Supporting a professional, safe, and productive work environment

EDUCATION & EXPERIENCE:

Required

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 (tracking changes to code)
Experience with cloud deployment and cloud databases

Preferred

Experience with SQL and Python
Experience with Power BI or another reporting and analytics tool
A portfolio of software or AI projects, for example a GitHub profile, that shows tools you have built

KNOWLEDGE, SKILLS, AND ABILITIES:

Basic data and analytics knowledge, including working with tables, spreadsheets and databases
Clear communication with non-technical leaders, explaining 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

PHYSICAL DEMANDS & WORKING CONDITIONS:

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
Ability to work primarily in an office or professional work environment
May be required to work extended hours, weekends, or travel based on business needs
Regular use of computers, phones, and other standard office equipment

Apache Industrial Services is an Equal Opportunity Employer and considers all applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status. We are committed to providing reasonable accommodations to individuals with disabilities throughout the application and interview process. If you need assistance, please contact the Human Resources Department.

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More about this job

Skills

Business intelligence
Teamwork
GitHub
Computer science
SQL
Python
Microsoft Power BI
Reporting
Communication skills
Organizational skills
Work independently
Prioritization
Meet deadlines
Office equipment

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