Intern - Year Round (AI Engineering)

Navy Federal Credit Union•Vienna, VA

22h•$21 - $36•Onsite

About The Position

The Cognitive and Generative AI Engineering team within Navy Federal Credit Union’s Enterprise Data and Information Management organization builds AI solutions to support enterprise-wide adoption. The team operates the AI Center for Enablement, designing, developing, and supporting AI systems for business use cases using Large Language Models and other advanced AI technologies. The intern assists with engineering projects and prototypes AI agents, copilots, and intelligent workflows, while contributing to platform engineering, model evaluation, governance, and observability. The intern partners with engineers and business stakeholders to deliver and evaluate AI solutions, conduct research and analysis, and provide operational and functional support. Applicants must remain enrolled in college-level courses or a degree-seeking program throughout the internship and must provide proof of enrollment. The position is based at 820 Follin Lane, Vienna, Virginia. Hours are Monday through Friday, 8:00 a.m. to 4:30 p.m., for a minimum of 20–25 hours per week depending on the school schedule.

Requirements

Currently pursuing a degree from an accredited college or university and remain enrolled in college-level courses or a degree-seeking program throughout the internship.
Strong foundation in Computer Science or Data Science.
Experience with programming languages such as Python.
Adaptability to new technologies.
Strong research, analytical, and problem-solving abilities.
Ability to work independently and collaboratively in a team environment.
Effective communication skills and a commitment to self-development.
Strong organizational, planning, and time management skills.

Nice To Haves

Understanding of Generative AI concepts and Large Language Models (LLMs), including their applications and limitations.
Familiarity with Prompt Engineering, AI search techniques, vector databases, and Retrieval-Augmented Generation (RAG) frameworks.
Knowledge of Data Engineering, APIs, and cloud development.

Responsibilities

Assist with AI Engineering tasks and projects.
Develop and prototype AI agents, copilots, and intelligent workflows using enterprise AI platforms and modern LLM technologies.
Contribute to AI platform engineering, model evaluation, governance, and observability to support responsible AI adoption.
Partner with engineers and business stakeholders to deliver AI solutions, analyze results, and accelerate enterprise AI innovation.
Perform research and analysis, which may include quantitative and/or qualitative analysis.
Maintain professionalism in all interactions, placing member service as a priority.
Provide comprehensive day-to-day operational support.
Provide support in functional areas of the credit union.
Perform other duties as assigned.