Manufacturing AI Engineer Co op

JOB REQUIREMENTS: Job Description 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. YOUR ROLE: 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. YOUR EXPERIENCE: 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. CORE DUTIES: 1. 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. 2. Help identify and prioritize use cases where better tooling or easier access to knowledge would save engineers meaningful time. 3. 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. 4. Prototype and test reusable workflows, then work with the team to refine them into solutions that are reliable enough for everyday use. 5. Document solutions clearly so engineers who did not build them can use, support, and modify them after the co-op ends. 6. Support adoption across the team through demonstrations, walkthroughs, quick reference guides, and hands-on help. 7. Capture recommendations on which solutions worked well and could be extended to other Manufacturing teams. 8.... For full info follow application link. Diversity is important at Promega. We are proud to be an Equal Opportunity Employer, and make employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability, or any other protected class. ***** APPLICATION INSTRUCTIONS: Apply Online: ipc.us/t/20021AE9564D40B5 Qualified females, minorities, and special disabled veterans and other veterans are encouraged to apply.