AI Solutions Intern- Human Resources- Summer 2027

The Marzetti Company • Columbus, OH

6h

About The Position

The AI Solutions Intern – Human Resources will bring a technical, experimentation-focused perspective to Marzetti’s Human Resources team and help explore how artificial intelligence can improve the employee experience and HR work. The intern will work closely with the Director, HR Technology, and partners across HR and IT to identify opportunities, build and test AI-enabled prototypes, and help establish practical approaches for responsible AI use. The organization’s AI capabilities are still developing, so the role includes understanding and documenting technical, data, security, access, and process constraints, identifying blockers, and exploring 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; the HR team will provide business context.

This is part of Marzetti’s 12-week Summer 2027 Internship Program. Interns gain hands-on project experience, professional development and networking opportunities, and potential consideration for part-time or full-time employment based on performance and company needs.

Requirements

• 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 their application to business problems.
• Familiarity with concepts such as RAG, APIs, and MCP or similar approaches for connecting AI models with data, tools, and systems.
• Ability to build, configure, test, or troubleshoot technical prototypes using appropriate programming, development, or AI tools; no specific programming language is required.
• Strong curiosity and problem-solving skills, with willingness to try new approaches, learn from unsuccessful experiments, seek feedback, and iterate quickly.
• Ability to work effectively while AI capabilities, processes, standards, and technical infrastructure are evolving.
• Ability to identify and clearly document assumptions, constraints, dependencies, technical challenges, and potential blockers.
• Ability to communicate technical concepts and findings clearly to technical and non-technical partners.
• Ability to work collaboratively and responsibly with potentially confidential or sensitive information.

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 AI has been applied to solve a problem.

Responsibilities

• Partner with HR team members to understand employee and business needs, evaluate HR workflows, identify high-value opportunities, and translate them into AI prototypes or proofs of concept.
• Apply LLMs, RAG, APIs, MCP, and related technologies to explore solutions such as knowledge assistants, workflow automations, intelligent search, AI agents, and other applications.
• Work with HR and IT to identify and document technical constraints, data requirements, security considerations, access needs, dependencies, and other implementation factors; surface blockers and evaluate options with relevant partners.
• Design experiments and evaluate AI outputs for accuracy, relevance, usability, and reliability; troubleshoot issues, gather feedback, and iterate on solutions.
• Document solution approaches, prompts, architectures, constraints, dependencies, test results, lessons learned, and recommendations.
• Demonstrate prototypes to HR and IT stakeholders, seek and incorporate feedback, and help establish reusable practices for continued AI experimentation and development.

Benefits

• Professional development and networking opportunities through connections with colleagues, managers, and fellow interns, social activities, volunteer opportunities, and development sessions with company leadership.
• Potential for part-time or full-time employment based on performance and company needs.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed