Generative AI Implementation Intern

About the Team

The AI Resource Group is building practical generative AI solutions that help product and business teams work smarter. We partner with employees across the company to turn everyday challenges into AI-powered workflows—focusing on adoption, enablement, and measurable impact.

Role Summary

As a Generative AI Implementation Intern, you'll work directly with employees to teach prompt engineering and AI best practices, identify high-impact use cases, and build production-ready automations that improve team efficiency. This is a collaborative, customer-facing role: you'll coach users, prototype solutions, document patterns, and lead knowledge-sharing activities so the organization can adopt AI responsibly and at scale. You'll report to a senior member of the AI Resource Group who will serve as your mentor throughout the internship.

What You'll Do

• Coach and enable: Deliver 1:1 sessions and workshops on prompt design, LLM workflows, and generative AI best practices for technical and non-technical audiences.
• Discover opportunities: Facilitate use-case discovery with business and engineering teams to identify where AI can increase productivity or improve outcomes.
• Build and ship: Design, prototype, and deploy custom GPTs, assistants, and lightweight automations that solve real user problems.
• Create reusable resources: Develop a curated prompt library, templates, playbooks, and demo videos that propagate best practices across the organization.
• Measure and improve: Implement evaluation checks for outputs (accuracy, relevance, hallucination mitigation) and track metrics on usage and efficiency gains.
• Collaborate on governance: Work with engineering and security teams to ensure all prototypes follow data governance, privacy, and responsible-AI policies.

What You'll Gain

• Hands-on experience deploying AI solutions in a real enterprise environment
• A portfolio of shipped projects you can point to in future interviews
• Exposure to cross-functional work with engineering, product, legal, and business teams
• Mentorship from experienced AI practitioners
• Insight into responsible AI practices and enterprise governance

Minimum Qualifications

• Currently enrolled in a Bachelor's or Master's program in Computer Science, Data Science, AI/ML, Human-Computer Interaction, Information Systems, or a related field
• Hands-on experience with LLMs, generative AI workflows, and prompt engineering
• Excellent communication skills—able to translate technical concepts into clear, actionable guidance for non-technical users
• Strong facilitation and interpersonal skills; comfortable presenting to groups
• Familiarity with Python and experience calling language model APIs (e.g., OpenAI, Azure OpenAI, Anthropic, Hugging Face)
• Comfortable building quick prototypes (Jupyter/Colab, scripts, small web UIs) with familiarity in Git and basic software development practices
• Able to work on-site in Conshohocken, PA for the duration of the internship
• Authorized to work in the United States

Preferred Qualifications

• Experience building chatbots, assistants, or integrations (e.g., Slack bots, Teams bots, small web apps)
• Knowledge of LLM evaluation metrics, hallucination mitigation strategies, and prompt-based safety/guardrails
• Coursework or practical experience in AI ethics, responsible AI, or data governance