Intern, AI Enablement
Indexed description
Who are we looking for?
The Intern is a college-level problem solver who learns quickly and enjoys building. We are looking for someone with minimal or no professional experience but a strong track record of project work—coursework, capstones, hackathons, or personal builds—that demonstrates curiosity, initiative, and the ability to take an idea from concept to a working solution. A genuine interest in AI, automation, and emerging technology is essential.
Key Responsibilities
- Build, configure, and test AI agents in Microsoft Copilot Studio under the guidance of senior engineers.
- Support the full agent lifecycle—design, build, test, deploy, and iterate—in an enterprise environment.
- Collaborate with other engineers on the AI Enablement team, contributing to shared standards, reusable components, and best practices.
- Partner with business stakeholders to understand requirements and translate them into agent capabilities, conversation flows, and actions.
- Assist with connecting agents to enterprise data sources, systems, and APIs (e.g., Power Platform connectors, SharePoint, Dataverse).
- Help test, debug, and validate agent behavior for accuracy, reliability, and responsible-AI and governance standards.
- Document agent designs, configurations, and processes to support maintainability and knowledge sharing.
- Participate in Agile ceremonies (stand-ups, sprint planning, demos) and contribute ideas in team brainstorming sessions.
- Perform additional AI Enablement project tasks as assigned.
- Pursuing or recently completed a Bachelor’s (or Master’s) degree in Computer Science, Information Systems, Data/AI, or a related field.
- Demonstrated project work (academic, hackathon, internship, or personal) that shows the ability to build and ship a working solution—solid project work matters more than years of experience.
- Exposure to low-code/no-code or agent-building platforms such as Microsoft Copilot Studio, Power Platform (Power Apps, Power Automate), or similar.
- Foundational programming skills in one or more languages (e.g., Python, JavaScript, C#, or similar).
- Familiarity with, or strong interest in, generative AI, large language models, prompt design, and conversational/agentic AI.
- Microsoft certifications are a bonus—foundational credentials such as AI-900 (Azure AI Fundamentals) and advanced certifications (e.g., AI-102, Azure AI Engineer Associate, or Copilot/agent-focused credentials) are a plus, as is a willingness to earn them.
- Comfort working with data and APIs and connecting systems together.
- Exposure to collaborative development tools and Agile/DevOps practices (e.g., Git, Azure DevOps, Jira) is a plus.
- Strong communication and collaboration skills, with the ability to work across engineering and business teams.
- Curiosity, initiative, and a willingness to learn quickly in a fast-paced environment.
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