Generative AI Implementation Intern

InterDigital, Inc.

Conshohocken (Montgomery County)

On-site

USD 27,552 - 41,328

Full time

14 days+

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Job summary

A leading technology firm is seeking a Generative AI Implementation Intern to support employees in learning prompt engineering and AI best practices. The role involves coaching, prototyping, and collaborating with cross-functional teams to improve efficiency through AI solutions. Candidates should have experience in generative AI and familiarity with Python. On-site work is required in Conshohocken, PA. This is a unique opportunity to gain hands-on experience in a real enterprise environment.

Qualifications

  • Hands-on experience with LLMs and prompt engineering.
  • Able to translate technical concepts for non-technical users.
  • Comfortable presenting to groups.

Responsibilities

  • Deliver 1:1 coaching sessions on prompt design.
  • Prototype AI solutions and document patterns.
  • Collaborate with engineering and security teams.

Skills

Experience with generative AI workflows
Excellent communication skills
Strong facilitation and interpersonal skills
Familiarity with Python
Experience calling language model APIs

Tools

Jupyter
Colab
Git

Job description

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.**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. Work with engineering and security teams to ensure all prototypes follow data governance, privacy, and responsible-AI policies.Hands-on experience deploying AI solutions in a real enterprise environment Exposure to cross-functional work with engineering, product, legal, and business teams **Minimum Qualifications**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**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 **Location**: Conshohocken, PA - On-site*InterDigital is an equal employment opportunity employer. InterDigital will not engage in or tolerate unlawful discrimination with regard to any employment decision, policy or practice based on a person’s sex, gender, pregnancy (including childbirth, breastfeeding and related medical conditions), age, race, color, religion, creed, national origin, ancestry, citizenship, military status, veteran status, mental or physical disability, medical condition, genetic information, sexual orientation, gender identity or expression, or any other factor protected by applicable federal, state or local law. This policy applies to all terms and conditions of employment, including, but not limited to, recruiting, hiring, compensation, benefits, training, assignments, evaluations, coaching, promotion, discipline, discharge and layoff.*Coursework or practical experience in AI ethics, responsible AI, or data governance
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