Principal Technical Risk Analyst - AI Technical Lead

Principal Technical Risk Analyst - AI Technical Lead

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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.

Responsible for assessing and managing technical risks across the organization’s environments. Works closely with cross‑functional teams to identify and analyze emerging technology risks, implement risk management strategies, and maintain compliance with industry standards and regulations. Plays a key role in developing frameworks for A.I. risk identification, evaluation, mitigation, and control. Responsible for understanding the A.I. technological landscape, implementing model development and deployment.

Uses a complete understanding of business needs and experience leading projects to support initiatives. Advanced skill sets and proficiency with Artificial Intelligence and machine learning techniques.

• Build and enhance machine learning models through all phases of development including design, training, validation, and implementation etc.
• Partner with cross‑functional teams of data engineers, data scientists, and data visualization to deliver projects.
• Assist with leading complex projects to ensure alignment with business needs.
• Unlock insights by analyzing large scale of complex numerical and textual data and identifying trends.
• Research and evaluate emerging technologies.
• Develop advanced A.I. solutions based on tools and cloud computing infrastructure.
• Perform other duties as assigned.

• Bachelor's degree or advanced degree in computer science, mathematics, physics, statistics.
• Experience with deep learning framework and infrastructure like Tensor Flow or PyTorch.
• Experience and/or willing to learn advanced techniques in Large Language Models (LLMs) and Agentic A.I. framework.
• Experience with leading complex projects by translating conceptual business strategies into technical requirements and mentoring junior team members with actionable guidance.
• Experience with Natural Language Processing/Natural Language Understanding.
• Experience and/or willing to research, develop, implement, and fine‑tune LLMs in terms of specific domains knowledge and user cases.
• Strong experience with applying expertise in model design, training, validation, and monitoring.
• Excellent understanding of machine learning, statistical modeling, and algorithms as well as their benefits and drawbacks.
• Experience with cloud computing infrastructure.
• Experience with Computer Vision, image processing and video analytics.
• Ability to work individually, and as part of a team.
• Advanced verbal, written, interpersonal, and presentation skills to communicate clearly and concisely technical and non-technical information to all levels of management.

• Experience with managing cross-functional projects and programs.
• Knowledge of Machine Learning Ops and CI/CD tools for automation of build, test, and deploy models in production environments.
• Knowledge on principles of A.I. Safety and Security.
• Experience with Microsoft Azure services.
• A.I. Model Optimization on GPU architecture. Leveraging C++, CUDA.
• Experience with Advanced Reinforcement Learning Paradigms.
• Experience with Speech Recognition.

• Monday - Friday, 8:00 AM - 4:30 PM

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.