AI Engineer (Agentic AI)

About the company

Navy Federal Credit Union

Financial services · 10,001+ employees

What you'll do

• Design and implement scalable, secure, efficient AI systems using Large Language Models and modern cloud frameworks.
• Collaborate with Enterprise Technology Services and business units to deliver modular, reusable AI components for complex business challenges.

What you need

• <p class="Default">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.</p>
• <p class="Default">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.</p>
• <p class="Default">Experience with using Retrieval-Augmented Generation (RAG) for grounding models in factual data and reducing hallucinations.</p>
• <p class="Default">Experience with API development and integration building RESTful APIs for connecting AI models to applications.</p>
• <p class="Default">Experience with LLMs (Large Language Models), prompt engineering, and fine-tuning.</p>
• <p class="Default">Experience with Natural Language Processing (NLP) using tokenization, embeddings, and conversational AI techniques.</p>
• <p class="Default">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.</p>
• <p class="Default">Experience in building data pipelines and data preprocessing for structured and unstructured data sets using platforms such as Databricks or similar.&nbsp;</p>
• <p class="Default">Experience in using Vector Databases &amp; Graph Databases for semantic search and recommendation systems.</p>
• <p class="Default">Enable Model Governance implementing transparency, bias detection, and compliance measures.</p>
• <p class="Default">Implement security controls ensuring safe deployment of AI models and protect sensitive data.</p>
• <p class="Default">Strong understanding of CI/CD, Git, and Agile methodologies.</p>
• <p class="Default">Experience using AI-assisted coding tools (e.g. GitHub Copilot) as part of development workflows.</p>
• <p class="Default">Strong documentation, communication and presentation skills to explain designs and solutions to business and technical stakeholders.</p>
• <p class="Default">Demonstrated understanding of software engineering fundamentals, including data structures, debugging, unit testing, and writing maintainable, well-documented code.</p>
• <p class="Default">Familiarity with dependency management, logging, error handling, differences between development, test, and production environments.</p>
• <p class="Default">Experience evaluating AI and GenAI outputs, applying secure data-handling practices when working with sensitive information.</p>
• <p class="Default">Experience delivering solutions using Python, SQL and NoSQL capabilities.</p>
• <p class="Default">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.</p>
• <p class="Default">Master’s in AI Engineering, Computer Science,&nbsp;Data Science or related technical field.&nbsp;</p>
• 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.
• Monday - Friday, 8:00AM - 4:30PM
• 820 Follin Lane, Vienna, VA 22180

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