Principal Technical Risk Analyst - AI Technical...

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

Responsibilities

• 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 TensorFlow 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-tuning 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.

Desired Qualifications

• 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 Advance Reinforcement Learning Paradigms.

• Experience with Speech Recognition.

Navy Federal provides much more than a job. We provide a meaningful career experience, including a culture that is energized, engaged and committed; and fierce appreciation for our teams, who are rewarded with highly competitive pay and generous benefits and perks. Our approach to careers is simple yet powerful: Make our mission your passion. * FORTUNE 100 Best Companies to Work For® 2026 * Yello and WayUp Top 100 Internship Programs 2025