AI Engineer; Agentic AI

Position: AI Engineer (Agentic AI)
Job-:
Data Engineering (AI/ML/NLP)

Location:

Vienna, VA, United States Workplace:
Hybrid

Schedule:

Full time, Regular Hours Posted:
Closes:
Targeted Salary Range: $131,800 - $181,200 annually

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.  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. Git Hub 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 No

SQL 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…