Marzetti is seeking a Human Resources Intern to join our 2027 Summer Internship Program!

Still in school but ready to start building your career? The Marzetti Summer Internship Program gives ambitious students the opportunity to gain meaningful, hands-on experience while exploring where their career could take them after graduation.

Our internship program is designed to provide real-world experience aligned with your field of interest while also giving you exposure to other key areas of business. You’ll contribute to meaningful work, build valuable relationships, and develop skills that extend far beyond your resume.

The AI Solutions Intern – Human Resources will bring a technical, experimentation-focused perspective to the Human Resources team and help explore how artificial intelligence can improve the employee experience and the way HR work gets done.

We are at the beginning of building our AI capabilities, creating a unique opportunity for this intern to help shape how we experiment, learn, and develop solutions. Working closely with the Director, HR Technology and partners across HR and IT, the intern will identify opportunities, build and test AI-enabled prototypes, and help establish practical approaches for using AI responsibly within the organization.

Because our AI environment is still developing, the intern will work collaboratively with HR and IT to understand and document technical, data, security, access, and process constraints; identify blockers; and explore practical paths forward. Projects may involve large language models (LLMs), retrieval-augmented generation (RAG), Model Context Protocol (MCP), APIs, AI agents, knowledge retrieval, and workflow automation.

Prior HR experience is not required. We will provide the business and HR context. We are looking for a student who brings hands-on AI experience, technical curiosity, a willingness to experiment, and the confidence to learn through testing, feedback, and iteration.

Nourish Your Career

Over the course of our 12-week program, our interns will gain:

• Practical Experience: Take ownership in meaningful projects and share innovative ideas to gain relevant experience in Human Resources.
• Professional Development: Develop your professional network by connecting with colleagues, managers, and fellow interns through social activities, volunteer opportunities, and development sessions with company leadership.
• Career Advancement: Potential for part-time and full-time employment based on your performance and the company’s needs.

Essential Functions/Primary Responsibilities:

1. Explore and prototype AI solutions that improve the employee experience. Partner with HR team members to understand employee and business needs, evaluate HR workflows, identify high-value opportunities, and translate those opportunities into working AI prototypes or proofs of concept.
2. Build and experiment with emerging AI capabilities. Apply LLMs, RAG, APIs, MCP, and related technologies to explore solutions such as knowledge assistants, workflow automations, intelligent search, AI agents, or other applications that make information and HR services easier for employees to access and use.
3. Help build the foundation for AI within HR. As our AI capabilities develop, work with HR and IT to identify and document technical constraints, data requirements, security considerations, access needs, dependencies, and other factors that may influence how solutions are designed and implemented. Surface blockers early and collaborate with the appropriate partners to evaluate options and potential solutions.
4. Test, evaluate, and continuously improve solutions. Design experiments, evaluate AI outputs for accuracy, relevance, usability, and reliability, troubleshoot issues, gather feedback, and rapidly iterate based on what is learned. Approach unsuccessful experiments as opportunities to improve the solution and inform future work.
5. Document learning and enable future innovation. Clearly document solution approaches, prompts, architectures, constraints, dependencies, test results, lessons learned, and recommendations. Demonstrate prototypes to HR and IT stakeholders, seek feedback, incorporate different perspectives, and help establish reusable practices that support continued AI experimentation and development.

What You'll Bring – Must-Haves

• Currently pursuing an undergraduate or graduate degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, Information Systems, or a related technical field.
• Hands-on experience using or building with artificial intelligence through coursework, research, hackathons, personal projects, internships, or other practical experience.
• Working understanding of large language models and how they can be applied to solve business problems.
• Familiarity with concepts such as retrieval-augmented generation (RAG), APIs, and Model Context Protocol (MCP) or similar approaches for connecting AI models with data, tools, and systems.
• Ability to build, configure, test, or troubleshoot technical prototypes using the programming, development, or AI tools most appropriate to the problem; no specific programming language is required.
• Strong curiosity and problem-solving skills with a willingness to try new approaches, learn from unsuccessful experiments, seek feedback, and iterate quickly.
• Ability to work effectively in an environment where AI capabilities, processes, standards, and technical infrastructure are still evolving.
• Ability to identify and clearly document assumptions, constraints, dependencies, technical challenges, and potential blockers.
• Ability to communicate technical concepts and findings clearly to both technical and non-technical partners.
• Ability to work collaboratively and responsibly with information that may be confidential or sensitive.

HR experience is not required. The HR team will provide the business context and subject-matter expertise needed to support the intern's projects.

Nice-to-Haves

• Experience with OpenAI models, APIs, or development tools, or comparable generative AI platforms.
• Experience creating LLM-powered applications, AI agents, conversational experiences, or automated workflows.
• Exposure to prompt and context engineering, embeddings, vector databases, or enterprise knowledge retrieval.
• Experience developing or evaluating RAG solutions.
• Familiarity with AI evaluation approaches, test sets, output-quality measurement, or feedback loops.
• Experience working with APIs, integrations, cloud platforms, version control, AI orchestration frameworks, or other tools used to connect and manage AI applications.
• A portfolio, academic project, hackathon project, research project, or other example demonstrating how you have applied AI to solve a problem.

• Demonstrates intellectual curiosity and actively seeks opportunities to learn and apply emerging technologies.
• Takes initiative and helps move ideas from exploration to tangible prototypes and recommendations.
• Comfortable helping establish new ways of working where processes and solutions may not yet be fully defined.
• Approaches experimentation with sound judgment, acknowledging constraints and limitations and learning from results.
• Welcomes feedback, asks thoughtful questions, and adapts quickly as requirements, technologies, and organizational capabilities evolve.
• Identifies potential obstacles early and works constructively with HR and IT partners to understand and address them.
• Balances creativity and speed with appropriate attention to data privacy, security, quality, and responsible AI practices.
• Comfortable working through ambiguity and breaking complex problems into practical next steps.

The Marzetti Company (Nasdaq: MZTI) manufactures and sells specialty food products. Our retail brands include Marzetti® dressings and dips, New York Bakery™ garlic breads, and Sister Schubert’s® dinner rolls, in addition to exclusive license agreements for Olive Garden® dressings, Chick-fil-A® sauces and dressings, Buffalo Wild Wings® sauces, Arby’s® sauces, Subway® sauces, and Texas Roadhouse® steak sauces and frozen rolls. Our foodservice business supplies sauces, dressings, breads, and pasta to many of the top restaurant chains in the United States.

At Marzetti, our mission is to make every meal better through high-quality, flavorful food. Led by our purpose, to nourish growth with all that we do, our team members are dedicated to creating great tasting food and cultivating deep and lasting relationships.