Intern, Applied AI (2027)
Libertyville, IL, US, 60048-3781
Libertyville, IL, US, 60048-3781
We Make Life More Rewarding and Dignified
Location: Libertyville
Department: Information Technology
Position Summary
Join the Data & AI team as an Applied AI Intern and contribute to real-world enterprise AI solutions. You will help design, build, test, and improve generative AI agents, knowledge assistants, retrieval solutions, and intelligent workflows that support business, R&D, Quality, and enterprise operations. The role combines hands-on solution development with applied research, evaluation, documentation, and responsible AI practices.
This internship is designed for talented undergraduate and master’s candidates who are eager to apply AI, software engineering, and analytical skills in a collaborative corporate environment. The intern will work closely with AI architects, engineers, IT specialists, and business stakeholders while learning how AI solutions move from business need and prototype to governed enterprise deployment.
Hollister Incorporated operates in a hybrid environment, Interns are required to come into the office in Libertyville Illinois a minimum of 4 days per week. Hollister does not provide relocation nor housing assistancefor this opportunity.
Responsibilities
- Contribute to AI Agent Development: Assist with the design, configuration, development, and testing of enterprise AI agents and copilots using Microsoft Copilot Studio, Azure AI technologies, Python, APIs, and related tools.
- Build Knowledge and Retrieval Solutions: Support retrieval-augmented generation (RAG), Knowledge Graph, enterprise search, document intelligence, semantic and vector search, metadata filtering, citations, and grounded response patterns across structured and unstructured information.
- Evaluate and Improve AI Quality: Create and execute evaluation scenarios; assess accuracy, relevance, grounding, citations, retrieval quality, response consistency, and usability; document defects and recommend improvements.
- Analyze Enterprise Content: Review SharePoint sites, documents, PDFs, spreadsheets, images, and other knowledge sources for AI readiness. Help identify OCR, content-quality, metadata, access, and indexing requirements.
- Prototype AI Solutions: Conduct focused research on emerging AI models, frameworks, APIs, orchestration approaches, and platform capabilities. Build small proof-of-concepts to assess technical feasibility and business value.
- Support API and System Integration: Help connect AI agents with enterprise services, custom connectors, APIs, Azure Functions, data platforms, and business applications under the guidance of senior team members.
- Apply Responsible AI and Security Practices: Follow organizational requirements for data protection, privacy, security, access control, human review, source grounding, and responsible use of AI. Avoid exposing credentials, sensitive information, or unsupported claims.
- Use Collaborative Development Practices: Work with GitHub, source control, branching, pull requests, documentation, and deployment pipelines to support collaboration, traceability, and recoverability of AI solutions.
- Collaborate Across Functions: Participate in requirements discussions, demonstrations, working sessions, and testing with IT, R&D, Quality, Data, Automation, and business teams.
- Document and Present Results: Maintain clear technical notes, solution documentation, test evidence, project updates, and implementation guidance. Present project outcomes and recommendations at the end of the internship.
Potential Project Exposure
- Enterprise knowledge agents and business-facing copilots, including Competitive Intelligence, Market Access, Finance, and R&D knowledge assistants.
- Quality Document Intelligence initiatives involving document search, comparison, metadata, product drawings, DHF/DMR analysis, traceability, and compliance-oriented workflows.
- Reusable AI-agent evaluation frameworks for regression testing, quality measurement, and release validation.
- Enterprise AI platform capabilities such as retrieval services, agent orchestration, knowledge graphs, context engineering, observability, governance, and reusable development standards.
- Digital Twin and simulation-related AI experiences, including data preparation, result analysis, workflow automation, and user interaction improvements.
- AI knowledge-source preparation, OCR assessment, SharePoint integration, GitHub collaboration, and CI/CD practices for AI solutions.
Requirements
- Education: Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Software Engineering, Information Systems, Engineering, or a related field. Candidate should remain enrolled in an academic program after the internship.
- AI and Software Fundamentals: Foundational understanding of artificial intelligence, machine learning, generative AI, large language models, software development, data structures, databases, or APIs through coursework or projects.
- Programming Skills: Experience with at least one programming language used for data or application development, preferably C# or Python. Ability to write understandable, maintainable code and troubleshoot technical issues.
- Communication Skills: Strong written and verbal communication skills, including the ability to explain technical concepts clearly to both technical and non-technical audiences.
- Collaboration and Learning: Curiosity, initiative, attention to detail, willingness to learn, and ability to work effectively with cross-functional teams in a fast-moving environment.
Preferred Skills (Bonus)
- Hands-on experience with generative AI, prompt engineering, AI agents, chatbots, RAG, embeddings, semantic search, or vector databases.
- Exposure Microsoft Copilot Studio, Microsoft Azure, Azure AI Search, Azure AI Foundry, Microsoft Fabric, Power Platform, or SharePoint.
- Experience using REST APIs, JSON, Git, GitHub, CI/CD pipelines, or cloud development environments.
- Familiarity with Python libraries for data analysis, machine learning, or AI application development.
- Experience designing test cases or evaluating AI/ML systems for accuracy, reliability, or responsible use.
- Awareness of AI ethics, privacy, security, governance, and the importance of human oversight in enterprise or regulated environments.
- Previous internship, research, hackathon, or substantial academic project involving AI, data, automation, or software development.
What You Will Learn
- How enterprise generative AI solutions are identified, designed, built, tested, governed, deployed, and improved.
- How agents use trusted enterprise data, retrieval, APIs, citations, and controls to produce grounded responses.
- How to evaluate AI quality systematically and use evidence to improve prompts, knowledge sources, tools, and workflows.
- How multidisciplinary teams collaborate to deliver AI solutions in a secure, responsible, and scalable manner.
- How modern engineering practices, documentation, source control, and release processes support production AI delivery.
Location
Libertyville, Illinois, USA – This internship is based at the Libertyville office and requires regular in-person collaboration with the team during Summer 2027. Specific hybrid-work expectations will be confirmed during the recruiting process. Relocation assistance, housing, and transportation are not provided for this opportunity.
The anticipated hourly rate for this position is $22.00 - $26.00 per hour based on applicant's education and skills.
About Hollister Incorporated
Hollister Incorporated is an independent, employee-owned company that develops, manufactures and markets healthcare products worldwide. The company spearheads the advancement of innovative products for ostomy care, continence care and critical care, and also creates educational support materials for patients and healthcare professionals. Headquartered in Libertyville, Illinois, Hollister has manufacturing and distribution centers on three continents and sells in nearly 80 countries. Hollister is a wholly owned subsidiary of The Firm of John Dickinson Schneider, Inc., and is guided both by its Mission to make life more rewarding and dignified for people who use our products and services, as well as its Vision to grow and prosper as an independent, employee-owned company, and in the process, to become better human beings.
EOE Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
Job Req ID: 36703
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