Overview 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, or related technical field, or the equivalent combination of education, training and experience.
- 1-2 years of experience in building AI solutions, including AI agents and chatbots, using industry-leading platforms (e.g., Azure AI Foundry).
- Experience delivering solutions using Python, SQL and NoSQL capabilities.
- 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 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 using Retrieval-Augmented Generation (RAG) for grounding models in factual data and reducing hallucinations.
- 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.
- 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.
- Experience with AIOps and model performance tuning.
- Knowledge of Navy Federal Credit Union instructions, standards, and procedures.
Hours: 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.
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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.
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.
Protect Yourself from Job Scams: Navy Federal Credit Union jobs are posted on our career site, jobs.navyfederal.org and reputable job boards (e.g., LinkedIn, Indeed). We do not post jobs on social media marketplaces, messaging apps or unverified websites. We will never ask candidates for payment, bank details or personal financial information during the hiring process.
Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.
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