AI Engineer (Agentic AI)

Navy Federal Credit Union; Vienna (VA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive pay

Generous benefits

Paid time off

Career growth opportunities

Job summary

Navy Federal Credit Union's AI Engineering team in Vienna, VA is seeking an experienced AI Engineer to design scalable AI systems, harness LLMs, and build secure data pipelines. You will collaborate across teams to implement RAG, ensure governance, and drive enterprise AI initiatives with robust model documentation and secure deployment practices.

This role requires strong problem-solving, communication, and leadership skills, plus hands-on experience with Python, SQL/NoSQL, and modern cloud

Qualifications

• 2–5 years building AI solutions, including AI agents and chatbots.
• Experience with Retrieval-Augmented Generation (RAG) to ground models in facts and reduce hallucinations.
• Experience with API development and RESTful services for connecting models to apps.
• Experience with LLMs, prompt engineering, and fine-tuning.
• Experience with NLP including tokenization, embeddings, and conversational AI.
• Frontend and backend development using React, Angular, Node.js, Django or Flask.
• Experience building data pipelines with Databricks or similar.
• Experience with vector and graph databases for semantic search and recommendations.
• Governance, security, and compliance in AI deployments.
• Strong CI/CD, Git, and Agile methodologies.
• Ability to work from requirements and communicate progress clearly.

Responsibilities

• Contribute to AI platform engineering within the AI Center for Enablement (C4E).
• Develop AI capabilities using LLMs and evaluate outcomes for accuracy and safety.
• Build and manage data pipelines for structured and unstructured data.
• Implement RAG and other techniques to improve model accuracy and reduce hallucinations.
• Ensure AI governance and secure deployment of models.
• Collaborate across teams in Agile CI/CD cycles for rapid delivery.
• Assist with documentation and registration of AI/ML roadmaps and technical plans.
• Support AI-assisted coding tools and developer productivity initiatives.

Education

Bachelor's degree in AI Engineering, Computer Science, Data Science, Machine Learning, Data Engineering, or related technical field

Tools

Azure AI Foundry

Langchain

REST APIs

React

Angular

Node.js

Django

Flask

Databricks

Vector DB

Graph DB

CI/CD

Git

GitHub Copilot

Model Registry

Job description

Overview

Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants must be authorized to work in the United States without the need for current or future sponsorship.

The AI Engineering team within the Enterprise Data and Information Management (EDIM) group develops and deploys advanced AI productivity solutions for Navy Federal Credit Union. This role focuses on designing and implementing scalable, secure, and efficient AI systems using state-of-the-art Large Language Models (LLMs) and modern cloud frameworks. The engineer collaborates with Enterprise Technology Services (ETS) and business units to deliver modular, reusable AI components that address complex business challenges. Strong problem-solving, communication, analytical, and leadership skills are essential for success in this position.

Responsibilities

• As a member of the AI Center for Enablement (C4E), contribute to platform, engineering, and operations to drive the adoption and utilization of AI capabilities, fostering technological innovation and improving member experience through AI capabilities.
• Implement AI engineering solutions while adhering to established governance, validation, safety, and transparency guidelines.
• Develop AI capabilities using LLM models and evaluate outcomes to ensure accuracy, reduce hallucinations, and assure compliance.
• Build and manage data pipelines for structured and unstructured data ingestion.
• Implement Retrieval-Augmented Generation (RAG) and other techniques to improve model accuracy and reduce hallucinations.
• Ensure compliance with AI governance, security, and ethical standards.
• Optimize application performance and scalability using cloud-native solutions.
• Participate in Agile development cycles and CI/CD processes for rapid deployment.
• Follow established AI standards and assist with model documentation and registration activities in the Model Catalog, in accordance with security and regulatory guidelines.
• Contribute to documentation and implementation of approved AI/ML roadmaps and technical plans.
• Support developer productivity initiatives by leveraging AI-assisted coding tools and contribute to AI-driven solutions.
• Deliver core engineering skills related to LLMs, prompt engineering, and applications delivery.
• Collaborate with senior team members to support initiatives that advance NFCU’s AI Center for Enablement capabilities.

Qualifications

• Bachelor’s degree in AI Engineering, Computer Science, Data Science, Machine Learning, Data Engineering, or related technical field, or the equivalent combination of education, training and experience.
• 2-5 years of hands‑on experience in building AI solutions, including AI agents and chatbots, using industry‑leading platforms (e.g., Azure AI Foundry, Langchain) or similar.
• Experience with using Retrieval-Augmented Generation (RAG) for grounding models in factual data and reducing hallucinations.
• Experience with API development and integration building RESTful APIs for connecting AI models to applications.
• Experience with LLMs (Large Language Models), prompt engineering, and fine‑tuning.
• Experience with Natural Language Processing (NLP) using tokenization, embeddings, and conversational AI techniques.
• Experience with front‑end and back‑end development using frameworks like React, Angular, and Node.js, Django, or Flask respectively for creating user interfaces and services.
• Experience in building data pipelines and data preprocessing for structured and unstructured data sets using platforms such as Databricks or similar.
• Experience in using Vector Databases & Graph Databases for semantic search and recommendation systems.
• Enable Model Governance implementing transparency, bias detection, and compliance measures.
• Implement security controls ensuring safe deployment of AI models and protect sensitive data.
• Strong understanding of CI/CD, Git, and Agile methodologies.
• Experience using AI‑assisted coding tools (e.g. GitHub Copilot) as part of development workflows.
• Strong documentation, communication and presentation skills to explain designs and solutions to business and technical stakeholders.
• Demonstrated understanding of software engineering fundamentals, including data structures, debugging, unit testing, and writing maintainable, well‑documented code.
• Familiarity with dependency management, logging, error handling, differences between development, test, and production environments.
• Experience evaluating AI and GenAI outputs, applying secure data‑handling practices when working with sensitive information.
• Experience delivering solutions using Python, SQL and NoSQL capabilities.
• Ability to work from defined technical requirements and implementation plans, incorporate feedback from code reviews, and communicate progress and tradeoffs clearly within cross functional teams.

Desired Qualifications

• Master’s in AI Engineering, Computer Science, Data Science or related technical field.
• 7+ years of experience in AI engineering or similar.
• Data engineering background.
• Experience with front and backend development frameworks.
• Knowledge of Navy Federal Credit Union instructions, standards, and procedures.

Additional Information

• Monday - Friday, 8:00AM - 4:30PM

Location

• 820 Follin Lane, Vienna, VA 22180

About Us

Navy Federal provides much more than a job. We provide a meaningful career experience, including a culture that is energized, engaged and committed; and fierce appreciation for our teams, who are rewarded with highly competitive pay and generous benefits and perks.

Our approach to careers is simple yet powerful: Make our mission your passion.

• FORTUNE 100 Best Companies to Work For® 2026
• Yello and WayUp Top 100 Internship Programs 2025
• Computerworld® Best Places to Work in IT 2026
• Most Loved Workplace – America’s Top Most Loved Workplaces® 2025
• 2025 PEOPLE® Companies That Care
• Newsweek Most Trustworthy Companies in America 2026
• Military Times 2025 Best for Vets Employers
• Forbes® 2026 America's Best Large Employers
• Forbes® 2025 America's Best Employers for New Grads
• Forbes® 2025 America's Best Employers for Tech Workers
• 2025 RippleMatch Campus Forward Award Winner for Overall Excellence
• Military.com Top Military Spouse Employers 2025
• 2026 Handshake Early Talent Award
• Newsweek America’s Greatest Workplaces for Culture, Belonging and Community 2026

Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to age, race, sex, color, religion, national origin, disability, veteran status, pregnancy, sexual orientation, genetic information, gender identity or any other basis protected by applicable law.

Accommodations: If you need accommodation or assistance for a qualifying condition to complete the online application (or during any stage of the hiring process), you can contact Navy Federal's Medical Accommodations team at [e-mail] or by calling 1-888-503-6013. This team cannot provide any information on job postings or application status.

Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team’s discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position. For additional details regarding compensation and benefits, review the Benefits page of the Navy Federal Career Site.

Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.