AI Engineer (Agentic AI)

Navy Federal Credit Union•Vienna, VA

2h•$131,800 - $181,200•Onsite

About The Position

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 designs and implements scalable, secure, and efficient AI systems using 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. As a member of the AI Center for Enablement (C4E), the engineer contributes to platform, engineering, and operations work that supports adoption of AI capabilities, technological innovation, and an improved member experience. The role works within established governance, validation, safety, transparency, security, and ethical guidelines. It includes developing and evaluating LLM capabilities, data pipelines, retrieval-augmented generation (RAG) solutions, and cloud-native applications; participating in Agile and CI/CD processes; and supporting AI documentation, model registration, and approved roadmaps. Strong problem-solving, communication, analytical, and leadership skills are important. The role is based at 820 Follin Lane, Vienna, Virginia. The stated schedule is Monday through Friday, 8:00 AM to 4:30 PM. Applicants must be authorized to work in the United States without current or future sponsorship.

Requirements

Bachelor’s degree in AI Engineering, Computer Science, Data Science, Machine Learning, Data Engineering, or a related technical field, or an equivalent combination of education, training, and experience.
2–5 years of hands-on experience building AI solutions, including AI agents and chatbots, using platforms such as Azure AI Foundry or LangChain, or similar.
Experience using RAG to ground models in factual data and reduce hallucinations.
Experience developing and integrating RESTful APIs to connect AI models with applications.
Experience with LLMs, prompt engineering, and fine-tuning.
Experience with NLP, including tokenization, embeddings, and conversational AI techniques.
Experience with front-end and back-end development using frameworks such as React or Angular, and Node.js, Django, or Flask.
Experience building data pipelines and preprocessing structured and unstructured datasets using platforms such as Databricks or similar.
Experience with vector and graph databases for semantic search and recommendation systems.
Ability to enable model governance through transparency, bias detection, and compliance measures.
Ability to implement security controls for safe AI model deployment and protection of sensitive data.
Strong understanding of CI/CD, Git, and Agile methodologies.
Experience using AI-assisted coding tools such as GitHub Copilot in development workflows.
Strong documentation, communication, and presentation skills for explaining designs and solutions to business and technical stakeholders.
Understanding of software engineering fundamentals, including data structures, debugging, unit testing, and writing maintainable, well-documented code.
Familiarity with dependency management, logging, error handling, and differences among development, test, and production environments.
Experience evaluating AI and GenAI outputs and 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 code-review feedback, and clearly communicate progress and tradeoffs within cross-functional teams.
Applicants must be authorized to work in the United States without current or future sponsorship.

Nice To Haves

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

Responsibilities

Contribute to platform, engineering, and operations work within the AI Center for Enablement to drive adoption and use of AI capabilities.
Implement AI engineering solutions in accordance with governance, validation, safety, and transparency guidelines.
Develop AI capabilities using LLM models and evaluate outcomes for accuracy, reduced hallucinations, and compliance.
Build and manage structured and unstructured data ingestion pipelines.
Implement 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.
Follow AI standards and assist with model documentation and registration in the Model Catalog according to security and regulatory guidelines.
Contribute to documenting and implementing approved AI/ML roadmaps and technical plans.
Support developer productivity initiatives using AI-assisted coding tools and contribute to AI-driven solutions.
Deliver engineering work involving LLMs, prompt engineering, and application delivery.
Collaborate with senior team members on initiatives that advance NFCU’s AI Center for Enablement capabilities.