Intern- AI & Data Engineering Summer 2026

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Position Description

Working out of our corporate headquarters, your primary goal as an AI & Data Engineering Intern will be to provide valuable support to the IT team.  

This role provides hands-on experience in designing and building data pipelines, as well as contributing to AI/ML initiatives under the guidance of experienced professionals. You will be exposed to and actively participate in projects that are advancing enterprise Data, Analytics, and Artificial Intelligence capabilities to drive business outcomes and innovation. You will help execute projects that deliver production-grade AI and Large Language Model (LLM) solutions leveraging Google Cloud Platform (GCP), Gemini, DOMO, and Python-based integrations and underscore the need to sustain this momentum through continued investment in our resources.  #LI-LB1 #LI-Onsite

This internship will provide you with the opportunity to expand and enhance your foundational knowledge, complementing your academic studies. Throughout the internship, you will engage and interact with supervisors, team members, project leaders, and other business functions, fostering collaboration and communication skills.

• Timeline: Summer 2026 - 12 weeks (late May - early to mid August)

• Hours per week: 40 hours per week

• Pay: dependent upon year in school

• Location: onsite at our headquarters campus in Wauwatosa, WI

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Projects may include: 

• Learning and supporting the development of scalable data workflows using BigQuery and AlloyDB.

• Assisting with data ingestion and transformation on GCP using Python, DOMO, and scheduling tools.

• Contributing to AI and GenAI initiatives using Gemini and related technologies, including proof-of-concepts.

• Supporting the development of agentic AI solutions across applications and toolsets.

• Participating in team discussions, documentation, and knowledge sharing.

• Monitoring and troubleshooting data and AI workflows under guidance.

• Researching and sharing insights on new GCP features and best practices.

The above statements are intended only to describe the general nature of the job and should not be construed as an all-inclusive list of position responsibilities. 

You are the kind of person who is/has:

• Technical curiosity

• Passionate about AI/ML and Data Engineering

• Foundational programming skills 

• Adaptability and Learning Agility

Qualifications: 

• Pursuing a Bachelor’s in CS, IT, Math, Stats, or related field.

• Basic Python or Java skills; familiarity with SQL.

• Knowledge in cloud, data, or ML.

• Working experience in/exposure to AI & Data Engineering preferred

• Fluent in English and primary language used in area of responsibility and/or location

• Good working knowledge of computer software

• Long-term interest in AI & Data Engineering

• Ability to multitask and prioritize

• Good written and oral communication skills

• Possess poise and the ability to interact with people in a professional manner

• Strong organizational skills

• Demonstrates critical thinking, problem solving and analysis skills