AI Enablement Agent Development & Automation Intern (Part Time)
Judi HealthAbout the role
About Judi Health Judi Health is a health technology company providing benefit administration solutions to employers, unions, health plans, and government entities. Judi Health replaces fragmented, outdated systems with the industry's first Unified Claims Processing™ architecture, seamlessly consolidating pharmacy and medical benefit administration on a single, secure platform. By delivering true price transparency, eliminating unnecessary middleman fees, and leveraging advanced AI-powered care delivery, Judi Health helps clients achieve unprecedented operational efficiency and service levels.
At Judi Health, we're deploying the infrastructure our country needs to deliver the healthcare we all deserve. We are the intelligence platform powering benefits plans for millions of Americans and proudly leading the next generation of care. To learn more, visit www.judi.health. Location: Hybrid (Local to Denver or NYC area)
Position Summary
The AI Enablement Agent Development & Automation Intern will support the design, prototyping, testing, and implementation of AI agents and workflow automation solutions across the enterprise. Working directly with the AI Enablement team and business stakeholders, the intern will help identify business needs, gather requirements, map processes, and translate opportunities into practical AI-enabled solutions. The role provides hands-on exposure to enterprise generative AI and agentic technologies, including Microsoft Copilot and Copilot Studio, GitHub Copilot, Claude, ChatGPT, workflow automation, APIs, and enterprise knowledge sources. The ideal candidate is a curious builder and problem solver who enjoys understanding how people work and using technology to make those processes simpler, faster, and more intelligent.
Position Responsibilities
- Meet with business stakeholders to understand business problems, workflows, pain points, and opportunities for AI and automation.
- Assist with requirements gathering, process mapping, use-case d
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