GDIT Summer Internship Program – Summer 2027 AI/ML Business Intelligence Development Internship

General Dynamics Information Technology • Bossier City, LA

1d • $20 - $26 • Hybrid

About The Position

GDIT’s 10-week Summer Internship Program gives interns the opportunity to work alongside GDIT professionals on client work, collaborate with peers to research and propose solutions to business challenges, participate in a mentoring circle, interact with GDIT leaders, and take part in professional development.

AI/ML Business Intelligence Development interns will contribute to projects aligned with their interests. Projects may include developing agentic solutions that answer business questions and perform approved actions across enterprise information sources, or developing standalone proxy services for front-end management of LLM implementations. The intended outcome is a managed service with capabilities such as detection, monitoring, security, and FinOps, supporting flexible implementations under consistent governance and management standards.

The internship is paid and full-time, at 40 hours per week, for 10 consecutive weeks. The role is hybrid and located in Bossier City, Louisiana. Applicants must have at least one semester of studies remaining after the internship concludes. Sponsorship is not available.

Requirements

• Currently enrolled in an associate's, bachelor's, or master's degree program in computer science, IT, engineering, or another STEM field at a United States-based college or university.
• Basic understanding of core data science concepts, including data cleaning, exploratory analysis, simple statistical methods, and foundational machine learning principles.
• Basic understanding of Microsoft Office products such as Word, PowerPoint, SharePoint, Excel, and Teams.
• Problem-solving ability and interest in big data.
• Effective communication skills and ability to articulate technical challenges and solutions.
• Experience working in a collaborative team environment.
• Intuitiveness and ability to identify and solve complex problems related to rapidly changing technology.
• At least one semester remaining in studies after the internship concludes.
• Willingness to complete identity verification using biometrics and artificial intelligence as part of hiring.

Nice To Haves

• Knowledge of AI/ML tools, data analysis and engineering, intelligent reporting, and process automation and prediction.
• Interest or experience with big data platform tools.
• Interest in data cleaning, wrangling, transformation, model selection, cross-validation, and deployment.
• Interest in writing acceptance criteria and confirming test case results.
• Interest in producing requirements, sizing user stories, and removing roadblocks.
• Interest in AI/ML security best practices, including data provenance, isolation, monitoring, and adversarial testing.
• Interest in responsible AI/ML governance, including transparency, risk mitigation, fairness, and compliance.
• Interest in FinOps practices.
• Knowledge of interactive visual reporting and automation tools such as Power BI, Tableau, Qlik, or AWS QuickSight.
• Knowledge of Python, SQL, or other programming languages.

Responsibilities

• Work alongside GDIT professionals delivering work for clients.
• Collaborate with peers to research and propose solutions to a current business challenge.
• Participate in a mentoring circle led by an early career champion.
• Develop projects that may include agentic solutions for answering business questions and performing approved actions across enterprise information sources.
• Develop projects that may include standalone proxy services for front-end management of LLM implementations.
• Contribute to a managed service approach incorporating detection, monitoring, security, and FinOps under consistent governance and management standards.
• Participate in professional development and interact with GDIT leaders.

Benefits

• Medical plan options, including options with Health Savings Accounts.
• Dental plan options.
• Vision plan.
• 401(k) plan with pre-tax and post-tax contribution options and a company match.
• Full flex work weeks where possible.
• Paid time off plans, including vacation, sick and personal time, holidays, and paid parental, military, bereavement, and jury duty leave.
• Short- and long-term disability benefits.
• Life, accidental death and dismemberment, personal accident, critical illness, and business travel and accident insurance.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: Associate degree