AI Solutions Intern

Job Description

CECP AI Solutions Intern | CECP

The Tone:
This is an internship at CECP, located remotely in the US. CECP is the only nonpartisan business counsel and network dedicated to driving measurable returns on purpose. We promote responsible purpose-driven business that increases customer loyalty, builds employee engagement, and contributes to the bottom line. This role is crucial for exploring, piloting, and scaling practical uses of artificial intelligence across the organization in a real-world, resource-constrained nonprofit environment.

The TL;DR
• Role: Internship
• Type: Part-time, Seasonal
• Location: Remote, US
• Pay: $30 hourly
• Mission: Explore, pilot, and scale practical uses of artificial intelligence across the organization to improve efficiency and enhance insights.
• Tech Stack: Microsoft Copilot Studio, large language model (LLM) prompt engineering, MS Office, Salesforce (preferred)

What You’ll Actually Do
• Explore: Research, test, and implement AI tools and solutions that enhance CECP’s operations, member experience, marketing, and growth efforts.
• Optimize: Identify opportunities to improve efficiency, automate workflows, and streamline processes across teams.
• Amplify: Support the use of AI to enhance digital engagement, content strategy, audience reach, and organizational visibility.
• Inform: Analyze and synthesize data to generate insights that inform decision-making, member engagement, and business development activities.
• Document: Create documentation, guides, and recommendations to support AI adoption and best practices across the organization.

The Must-Haves
• Background: Current undergraduate, graduate student, or recent graduate with strong foundational knowledge in computer science or a related technical field.
• Experience: Hands-on experience building and configuring AI agents, specifically using Microsoft Copilot Studio and large language model (LLM) prompt engineering. Experience with MS Office and CRM platforms.
• Skills: AI agent configuration, large language model (LLM) prompt engineering, data analysis, initiative, and attention to detail.
• Bonus: Interest in corporate purpose, social impact, or nonprofit work, and prior experience with Salesforce.