Manufacturing AI Engineer Co-op

Promega • Madison, WI

3d • Onsite

About The Position

As an AI Engineering Co-op, your role is to help build the knowledge layer infrastructure and reusable workflows that support Operations Engineering's AI transformation. You will learn how engineers do their work, identify where better tooling and easier access to information would save meaningful time, and build, document, and support solutions the team can adopt and maintain after your term ends. This is an eight-month, full-time co-op, and offers hands-on experience applying emerging AI technology to real problems in a regulated manufacturing environment.

Requirements

• Currently enrolled in a Bachelor's degree program in Systems Engineering, Industrial Engineering, Computer Science, Data Science, Machine Learning or other Engineering with an AI specialty, or a related field, and able to commit to an eight-month full time co-op (January through August or May through December).
• Naturally curious and interested in understanding how engineers work, and how AI tools can be applied to engineering, with an ability to connect what people describe to how a solution should be built.
• Comfortable talking with subject matter experts, asking questions, and learning an unfamiliar technical domain quickly.
• Experience or interest in Python, including scripting and working with APIs.
• Experience or interest in SQL and organizing data.
• Experience or interest in prompt engineering, retrieval-augmented generation (RAG), and working with large language models.
• Willing to experiment with emerging AI tools and iterate when a first attempt does not work.
• Strong organization, communication, and documentation skills, including the ability to explain technical work to people who are not specialists.
• Self-starter who can manage multiple priorities and ask for direction when needed.
• Proficiency with Microsoft 365 applications (Word, Excel, PowerPoint, Teams).
• Awareness of or interest in learning regulatory and compliance concepts in a manufacturing environment.

Nice To Haves

• Coursework, personal projects, or prior internship experience with generative AI platforms (e.g., Azure OpenAI, OpenAI API, Claude).
• Familiarity with Git and collaborative development practices.
• Experience building or documenting software solutions and technical workflows.
• Experience teaching, tutoring, or helping others adopt a new tool or process.
• Exposure to Databricks, Power BI, or similar analytics tools.
• Coursework or exposure to manufacturing concepts, process control systems, or production environments.
• Experience with knowledge management systems, SharePoint, or similar platforms.

Responsibilities

• Meet with engineers and subject matter experts to learn how they work, where their time goes, and what makes information hard to find, then help translate those problems into practical solutions.
• Help identify and prioritize use cases where better tooling or easier access to knowledge would save engineers meaningful time.
• Build and organize knowledge layer content, including context files, structured documentation, and retrieval patterns that help AI tools surface accurate answers from Operations Engineering knowledge.
• Prototype and test reusable workflows, then work with the team to refine them into solutions that are reliable enough for everyday use.
• Document solutions clearly so engineers who did not build them can use, support, and modify them after the co-op ends.
• Support adoption across the team through demonstrations, walkthroughs, quick reference guides, and hands-on help.
• Capture recommendations on which solutions worked well and could be extended to other Manufacturing teams.
• Learn the Operations Engineering domain, including process control systems, production workflows, root cause analysis methodology, and documentation requirements, in order to build solutions that fit how the work actually happens.
• Assist with GMP documentation and tasks associated with engineering projects and knowledge management initiatives.
• Demonstrates inclusion through their own words and actions and is accountable for a safe workspace. Acts with kindness, curiosity and respect for others.
• Embracing and being open to incorporating Promega's 6 Emotional & Social Intelligence (ESI) core principles in daily work.
• Understands and complies with ethical, legal and regulatory requirements applicable to our business.
• Other duties and responsibilities as assigned.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level