AI Engineer (Agentic AI)

AI Engineer (Agentic AI) role at Navy Federal Credit Union’s AI Engineering team in EDIM, focused on delivering scalable and secure AI productivity solutions using LLMs and modern cloud frameworks.

Responsibilities

• Serve as a member of the AI Center for Enablement (C4E) contributing to platform, engineering, and operations to drive adoption and utilization of AI capabilities
• Implement AI engineering solutions in line with established governance, validation, safety, and transparency guidelines
• Develop and evaluate LLM-based capabilities to improve accuracy, reduce hallucinations, and support compliance requirements
• Build and manage data pipelines for structured and unstructured data ingestion
• Implement Retrieval-Augmented Generation (RAG) and related techniques to improve factual grounding and reduce hallucinations
• Ensure alignment with AI governance, security, and ethical standards
• Optimize application performance and scalability using cloud-native approaches
• Participate in Agile development cycles and CI/CD processes to support rapid deployments
• Follow established AI standards and assist with model documentation and registration 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 contributing to AI-driven solutions
• Deliver core engineering skills for LLMs, prompt engineering, and application delivery
• Collaborate with senior team members to advance NFCU’s C4E capabilities

Requirements

• Bachelor’s degree in AI Engineering, Computer Science, Data Science, Machine Learning, Data Engineering, or a related technical field, or equivalent education, training, and experience
• 2-5 years hands-on experience building AI solutions, including AI agents and chatbots, using platforms such as Azure AI Foundry, LangChain, or similar
• Experience using RAG to ground models in factual data and reduce hallucinations
• Experience building RESTful APIs and integrating AI models into 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 frameworks: React, Angular, Node.js, Django, or Flask
• Experience building data pipelines and preprocessing for structured and unstructured datasets using tools such as Databricks or similar
• Experience with Vector Databases and Graph Databases for semantic search and recommendation systems
• Ability to enable Model Governance including transparency, bias detection, and compliance measures
• Implement security controls for safe deployment and protection of sensitive data
• Strong understanding of CI/CD, Git, and Agile
• Experience using AI-assisted coding tools such as GitHub Copilot in development workflows
• Strong documentation, communication, and presentation skills to explain designs and solutions to business and technical stakeholders
• Demonstrated software engineering fundamentals: data structures, debugging, unit testing, and maintainable, well-documented code
• Familiarity with dependency management, logging, error handling, and differences across development, test, and production environments
• Experience evaluating AI and GenAI outputs with secure data-handling practices for sensitive information
• Experience delivering solutions using Python, SQL, and NoSQL
• Ability to work from technical requirements and implementation plans, incorporate feedback from code reviews, and communicate progress and tradeoffs with cross-functional teams

Technologies

• Azure AI Foundry
• Langchain
• Retrieval-Augmented Generation (RAG)
• RESTful APIs
• LLMs (Large Language Models)
• Prompt engineering
• Fine-tuning
• Natural Language Processing (NLP)
• Tokenization
• Embeddings
• React
• Angular
• Node.js
• Django
• Flask
• Databricks
• Vector Databases
• Graph Databases
• CI/CD
• Git
• GitHub Copilot
• Python
• SQL
• NoSQL

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

Location and Schedule

• Location: 820 Follin Lane, Vienna, VA 22180 (onsite)
• Hours: Monday - Friday, 8:00AM - 4:30PM
• Salary Range: USD 131,800 - 181,200 per year