2027 Summer Intern - Applied AI (Raleigh, NC)

First Citizens Bank•Raleigh, NC

1d•Hybrid

About The Position

First Citizens Bank’s Applied AI team is part of Enterprise AI, which brings together data science, applied AI, Responsible AI, and AI governance. The team builds machine learning and AI solutions for the General Bank, Commercial Bank, and Enterprise Functions, and tests and documents those solutions before they reach production. The team works across U.S. and India locations and uses machine learning, advanced analytics, and generative AI according to the needs of each problem. The intern will gain hands-on experience building and evaluating AI or analytics solutions in a regulated banking environment. Under the direction of an assigned mentor, the intern will work with data, develop prototypes and related components, help evaluate solutions, and document work. The internship also includes professional development, networking, community service, a dedicated manager and program manager, and a project to present at the end of the program. The internship runs from May 24, 2027, through July 30, 2027. This is a hybrid role, with work regularly taking place inside and outside a company office.

Requirements

High school diploma or GED and one year of experience.
Currently enrolled at an accredited collegiate institution during the summer program.
Ability to work 40 hours per week for the duration of the program.
Adaptability.
Written and verbal communication skills.
Critical thinking skills.

Nice To Haves

Rising senior or currently enrolled in a master’s program in computer science, data science, statistics, applied mathematics, engineering, or a related quantitative field.
Working proficiency in Python and SQL.
Coursework, personal projects, or prior internship experience in machine learning, data science, NLP, or generative AI, with evidence of having built and tested something real.
Familiarity with common data science or machine learning libraries, notebook environments, and version control such as Git.
Exposure to model evaluation and test design.
Interest in conventional machine learning and generative AI, with judgment to select methods based on the problem.
Clear written communication and the ability to explain technical work, results, and open questions to people not involved in the work.
Minimum 3.0 GPA.
Strong desire to learn and grow.
Positive attitude, curiosity, and enjoyment of collaboration.
Ability to multitask.
Ability to adapt and adjust priorities based on business needs.
Ability to take direction and absorb information quickly.

Responsibilities

Build and test components of an AI or analytics solution.
Prepare, explore, and analyze data using Python and SQL in approved bank environments.
Develop model prototypes, features, prompt and retrieval configurations, scripts, and notebooks under the direction of an assigned mentor.
Help create evaluation datasets and run evaluations, including testing accuracy, relevance, groundedness, retrieval quality, or content safety, depending on the project.
Document assumptions, limitations, and test results so others can continue the work.
Learn how AI use cases proceed through the bank’s governance and Responsible AI review and what evidence is required.
Participate in team code reviews, technical discussions, and knowledge-sharing sessions.
Attend professional development, informational, networking, and community service events.
Complete an assigned project designed to improve a process or solve a problem, and present it at the close of the internship.
Prepare and deliver a wrap-up presentation to the division leader and other key company stakeholders.