2027 Summer Intern - Applied AI (Raleigh, NC)

First Citizens Bank•Raleigh, NC

1d•Hybrid

About The Position

The Applied AI team is part of Enterprise AI, which brings together data science, applied AI, Responsible AI, and AI governance for First Citizens Bank. The team builds machine learning and AI solutions for the General Bank, Commercial Bank, and Enterprise Functions, and tests and documents their performance before they reach production. It 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, while learning how AI use cases move through governance and Responsible AI review. The internship includes a dedicated manager and program manager, professional development and networking opportunities, and an assigned project designed to improve a process or solve a problem. At the end of the internship, the intern will present the project and summarize their accomplishments and experience to division leadership and other stakeholders. The internship is scheduled for May 24, 2027 through July 30, 2027, and requires availability for 40 hours per week.

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.
Some exposure to model evaluation and test design.
Interest in both conventional machine learning and generative AI, and judgment to choose methods based on the problem rather than novelty.
Clear written communication and ability to explain technical work, results, and open questions to someone not involved in the work.
Minimum 3.0 GPA.
Strong desire to learn and grow.
Positive attitude, curiosity, and enjoyment of collaboration.
Strong verbal and written communication skills.
Critical thinking skills.
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 conduct evaluations, which may test accuracy, relevance, groundedness, retrieval quality, or content safety.
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 they must produce.
Participate in team code reviews, technical discussions, and knowledge-sharing sessions.
Attend professional development, informational, networking, and community service events.
Complete an assigned project to improve a process or solve a problem, and present it at the end of the internship.
Prepare and deliver a wrap-up presentation to the division leader and other key stakeholders.

Benefits

Dedicated manager and program manager to help navigate the bank and internship program.
Professional development, informational, networking, and community service events.

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