About the role#
This 12-week internship program runs from May 2027 through August 2027. You will join the Security Process Automation team within the Information Security Division. The team builds secure, scalable workflow solutions for security, fraud, risk, and compliance operations. You will work alongside engineers, analysts, and stakeholders to move an AI use case from discovery through prototype and evaluation. This role provides hands-on exposure to generative AI, workflow design, and responsible technology practices.
What you'll do#
- Collaborate with stakeholders to map operational workflows, identify friction points, and define desired project outcomes.
- Identify use cases where generative AI, automation, or analytics can provide measurable security or business value.
- Develop proofs of concept using prompt engineering and approved data tools.
- Integrate AI outputs into Pega or other workflow solutions to ensure results are structured, traceable, and actionable.
- Design experiences that allow users to inspect evidence, validate AI outputs, correct inaccuracies, and document decision rationale.
- Prepare, clean, and transform data for prototyping and evaluation.
- Develop test scenarios and evaluation criteria for accuracy, consistency, and usability.
- Conduct prompt testing, response analysis, and controlled experimentation to improve AI reliability.
- Implement feedback loops to capture user corrections and improve prompts, models, and workflow rules.
- Participate in sprint planning, design sessions, demonstrations, and stakeholder feedback meetings.
- Support user acceptance testing and document findings, risks, and recommended improvements.
- Present findings, prototype results, and lessons learned to technical and business audiences.
- Adhere to cybersecurity, data protection, and responsible AI requirements throughout the project lifecycle.
What you'll need#
- Currently pursuing an associate, bachelor’s, master’s, or doctoral degree in Computer Science, Cybersecurity, Data Science, Artificial Intelligence, Machine Learning, Information Systems, Software Engineering, or a related field.
- Anticipated graduation date of December 2027 or later.
- Foundational knowledge of artificial intelligence, machine learning, or generative AI concepts.
- Programming or scripting experience using Python or a comparable language.
- Experience working with data through coursework, research, or personal projects.
- Understanding of common data structures and the ability to work with structured or unstructured information.
- Analytical and problem-solving skills, including the ability to break ambiguous problems into testable components.
- Ability to communicate technical concepts clearly through documentation and presentations.
- Ability to work both independently and collaboratively in an iterative environment.
- Interest in applying AI and automation to cybersecurity, fraud, risk, or compliance problems.
- Commitment to responsible technology use, including appropriate handling of sensitive information and human oversight in decision-making.
Location & details#
- Location: Vienna, Virginia.
- Modality: On-site.
- Schedule: Monday - Friday, 8:00 AM - 4:30 PM.
- Term: Summer 2027 (12 weeks).
- Status: Full-time, paid internship.
About Navy Federal Credit Union
Navy Federal Credit Union is a nonprofit financial institution founded in 1933. It serves the Armed Forces, Department of Defense, veterans, and their families. With over 15 million members and more than 25,000 employees, it operates as the largest credit union in the world. The organization maintains its headquarters in Vienna, Virginia, alongside additional campuses in Florida, California, and Virginia.
How to get in at Navy Federal Credit Union
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