HR AI Fellow

IMA Financial Group•Denver, CO

3d•Hybrid

About The Position

IMA is seeking an AI Fellow embedded within Human Resources to help accelerate our People + AI transformation—redefining how we work, scale, and deliver our associate experience and business growth through our people systems. As a full-time summer HR AI Fellow you will build, test, and deploy real AI-enabled solutions that improve manager and HR productivity, enhance decision-making, and free up capacity for higher-value work across the organization. You will operate at the intersection of workforce strategy, HR operations, talent management, and applied AI. The Fellow will leave a measurable, operational impact on how HR works at IMA. IMA is actively investing in AI as a core capability, not a side project. AI is expected to: Reduce manual, repetitive HR work, Improve speed and quality of decision-making, Enable more personalized, insight-driven talent management, Free up HR capacity for strategic, high-value work. This Fellow will directly contribute to that transformation.

Requirements

Motivated undergraduate or graduate student interested in technology, business, AI, or data analytics to leverage AI in support of priority initiatives.
Strong curiosity about AI and its application to business problems.
Experience using AI tools (LLMs, automation tools, or analytics tools).
Analytical and problem-solving mindset.
Ability to translate ambiguity into structured solutions.

Nice To Haves

Experience in one or more of: Data analysis (Python, SQL, Excel)
Prompt engineering or LLM workflows
Workflow automation tools (e.g., Power Automate, Zapier)
Interest in HR, workforce strategy, or organizational effectiveness

Responsibilities

Build HR AI Prototypes: Develop working prototypes for internal HR tools, such as: “Ask HR” assistant (policy, coaching, HR guidance), Talent insights/analytics copilots for workforce planning, Productivity and headcount modeling tools. Use tools such as Copilot, ChatGPT, Claude, or similar technologies.
Reimagine HR Workflows: Identify manual, repetitive processes across HR Ops, Talent, and Total Rewards. Redesign workflows using AI to: Reduce cycle time, Improve consistency and quality, Increase scalability.
Drive Workforce Insight & Decision Support: Partner with People Analytics and HR leaders to: Generate insights on productivity, talent, and workforce trends, Build AI-assisted dashboards or decision tools, Support workforce redeployment and talent strategy efforts.
Experiment, Learn, and Share: Rapidly test ideas using a “build, test, learn, iterate” approach. Document learnings and create a capstone case study. Share best practices across HR and the broader AI Fellows cohort.