AI Intern

UMB Bank•Kansas City, MO

23h•$25,640 - $49,440•Hybrid

About The Position

We are looking for a highly motivated and curious AI Intern to join our AI team. In this role, you will work alongside senior AI Engineers and Data Scientists to design, test, and deploy AI-driven features that solve real-world problems. This is a hands-on opportunity to move beyond theory and see how AI is integrated into production-level products. You will gain experience with cutting-edge technologies like Large Language Models (LLMs), agentic frameworks, and data pipelines while receiving mentorship from industry experts. This role is hybrid (Mon through Thu on-site / Fri remote) at the UMB Technology & Operations Center located in downtown Kansas City, MO.

Requirements

Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related technical field.
Programming: Strong proficiency in Python (familiarity with libraries like NumPy, Pandas, and Scikit-learn).
AI Frameworks: Basic understanding of machine learning frameworks such as PyTorch, TensorFlow, or Keras.
Core Fundamentals: Solid grasp of mathematics (linear algebra, statistics) and data structures.
Soft Skills: Excellent problem-solving abilities, a proactive learning mindset, and the ability to communicate technical concepts to non-technical stakeholders.
Applicants must have legal authority to work in the United States.
Work Visa sponsorship is not available for this position.

Nice To Haves

Experience with GenAI tools like LangChain, LangGraph, or vector databases (e.g., Pinecone, Weaviate).
Prior experience with APIs (FastAPI/REST) and version control systems like Git.
A portfolio of personal AI/ML projects or contributions to open-source communities.
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.

Responsibilities

Model Development & Testing: Assist in building, training, and evaluating machine learning and deep learning models to improve product functionality.
Generative AI Exploration: Experiment with LLMs, prompt engineering, and Retrieval-Augmented Generation (RAG) pipelines to enhance automation and user experience.
Data Engineering: Support data collection, cleaning, and preprocessing efforts to ensure high-quality datasets for model training.
Prototyping: Collaborate with cross-functional teams to build and iterate on AI-powered prototypes and internal tools.
Research & Documentation: Stay updated on the latest AI trends and research papers, documenting experimental results and contributing to technical reports.
Deployment Support: Help integrate AI models into existing software architectures and assist in monitoring their performance in real-world scenarios.

Benefits

Paid Time Off
a 401(k) matching program
annual incentive pay
paid holidays
a comprehensive company sponsored benefit plan including medical, dental, vision, and other insurance coverage
health savings, flexible spending, and dependent care accounts
adoption assistance
an employee assistance program
fitness reimbursement
tuition reimbursement
an associate wellbeing program
an associate emergency fund
various associate banking benefits