AI Solutions Intern

Judi Health•Denver, CO
•$22 - $40•Hybrid

About The Position

The AI Solutions Intern is a developmental, entry-level role designed to prepare the intern for the AI Solutions Analyst role. Working under the close guidance of experienced team members, the intern supports business discovery, workflow analysis, requirements documentation, testing, implementation, and adoption of AI-enabled solutions. The intern gains hands-on experience building and evaluating solutions using AI agents, agentic coding harnesses, Copilot, automation, and approved enterprise tools across low-, medium-, and high-complexity use cases. The role also contributes to the company's AI-native transformation by helping identify opportunities to reuse and scale solutions, and by supporting research, documentation, demonstrations, training materials, and value measurement. Work is performed according to established procedures, with assignments reviewed for accuracy and quality. Judi Health is a health technology company providing benefit administration solutions to employers, unions, health plans, and government entities. It uses a Unified Claims Processing architecture to consolidate pharmacy and medical benefit administration on a single, secure platform, and aims to deliver price transparency, reduce unnecessary middleman fees, and support care delivery with AI. The position is hybrid and limited to candidates local to New York City, Denver, Colorado, or Charlotte, North Carolina.

Requirements

  • Currently enrolled in an accredited bachelor's or master's degree program in Engineering (such as Computer, Software, Electrical, Industrial, or Systems Engineering) or a closely related technical field such as Computer Science or Data Science.
  • Demonstrated interest in AI, software, data, or automation, supported by hands-on academic, personal, hackathon, research, or project experience.
  • Strong analytical and problem-solving skills, including the ability to break down business processes and identify improvement opportunities.
  • Effective written and verbal communication skills, including the ability to document requirements and explain technical concepts to non-technical audiences.
  • Proficiency with Microsoft Office 365 applications, including Word, Excel, PowerPoint, and Teams.
  • Curiosity, eagerness to learn, and the ability to work independently and collaboratively in a fast-paced environment.

Nice To Haves

  • Relevant coursework in artificial intelligence, machine learning, software development, data analysis, or automation.
  • Exposure to AI tools and technologies such as large language models, AI agents, Microsoft Copilot, prompt engineering, or automation platforms such as Power Automate.
  • Familiarity with at least one programming or scripting language, such as Python, JavaScript, or SQL.

Responsibilities

  • Support business discovery sessions with stakeholders to understand current processes, pain points, and opportunities for AI-enabled improvement; assist with mapping workflows and documenting current- and future-state processes.
  • Help gather, organize, and document business and functional requirements, user stories, and acceptance criteria under the direction of senior team members.
  • Build, configure, and evaluate solutions using AI agents, agentic coding harnesses, Microsoft Copilot, automation platforms, and other approved enterprise tools.
  • Contribute to low-, medium-, and high-complexity use cases by completing assigned tasks, conducting analysis, and supporting delivery under experienced team members' guidance.
  • Assist with test planning, test case execution, defect tracking, and validation of solution outputs for accuracy, quality, and responsible AI use; support implementation and deployment activities.
  • Help develop training materials, user guides, quick-reference documents, and solution demonstrations to support user adoption.
  • Identify opportunities to reuse solutions across teams, scale them across the company, or develop them into client-facing capabilities; document reusable components, patterns, and lessons learned.
  • Research emerging AI tools, techniques, and industry practices and summarize findings to inform team recommendations.
  • Assist with tracking and reporting solution outcomes, including time savings, efficiency gains, adoption metrics, and other measures of business value.
  • Partner with AI Solutions Analysts and cross-functional stakeholders to develop foundational skills in solution analysis, delivery, and change management in preparation for progression to the AI Solutions Analyst role.
  • Follow company policies, data privacy and security standards, and responsible AI guidelines when using AI tools and handling enterprise data.
  • Adhere to the Judi Health Code of Conduct, including reporting non-compliance.
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