Intern - Year Round (AI Engineering)

The Cognitive and Generative AI Engineering team, part of the Enterprise Data and Information Management (EDIM) organization, builds innovative AI solutions that help scale AI adoption across Navy Federal Credit Union.

Our team operates the AI Center for Enablement, where we design, develop, and support cutting edge AI systems for real business use cases. We work with Large Language Models (LLMs) and other advanced AI technologies to solve complex problems, create reusable components, and make AI accessible across the enterprise.

*** A requirement of this position is you must be currently enrolled in college level courses or a degree-seeking program throughout the duration of the internship. Please upload your transcripts by adding them to the “Intern Proof of Enrollment” section of the application.

• 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; may include quantitative and/or qualitative analysis
• Maintain professionalism in all interactions, placing member service as priority
• Provide comprehensive day-to-day operational support
• Provide support in functional areas of the credit union
• Perform other duties as assigned
• Currently pursuing a degree from an accredited college or university
• 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

Desired

• 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

Hours: Monday - Friday, 8:00AM - 4:30PM (minimum of 20-25 hours a week, based on school schedule)

Location: 820 Follin Lane, Vienna, VA 22180