Manufacturing AI Engineer Co-op

OUR TEAM

The Operations Engineering organization is made up of Process, Automation, Mechanical, Sustaining, and OT Engineers supporting manufacturing and product finishing operations across multiple campus buildings. Our teams also include several co-ops each year. This role works closely with the engineering leadership team and engineers across those disciplines. Operations Engineering regularly collaborates with other internal partners such as Quality, IT, Facilities, and Manufacturing.

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.

We are looking for a naturally curious self-starter with excellent communication and documentation skills and a demonstrated ability to work in cross‑functional teams to achieve our department and company objectives. Comfort talking with subject matter experts, asking good questions, and learning an unfamiliar technical domain quickly is essential. Experience or interest in Python, SQL, prompt engineering, and retrieval‑augmented generation is important;

experience in a regulated industry is a plus.

* This is an 8-month co‑op position with two possible start dates in 2027:
January through August, or May through December. Candidates must be able to commit to the full 8‑month term for their selected timeline.

• 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.

• A small set of documented AI workflows in active use by the Operations Engineering team by the end of the co‑op.
• Improved knowledge accessibility, with engineers able…