CyberSecurity AI Engineer

Nelnet

CyberSecurity AI Engineer focusing on secure AI/ML systems at Nelnet. Collaborating with IT, security, and data science teams to develop innovative AI solutions.

Posted 7/14/2026full-timeLincoln • Colorado, New York, Wisconsin • 🇺🇸 United StatesMid-LevelSenior💰 $115,000 - $155,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in securing AI/ML systems and implementing risk management frameworks, with a strong focus on automation and collaboration across development, operations, and security teams.

Highest-signal resume keywords

Cybersecurity ExperienceMachine Learning SystemsSecurity Automation FrameworksApplication SecurityDevSecOps

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Risk ManagementSecurity EngineeringAdversarial Machine LearningModel GovernanceSecurity MonitoringData Poisoning PreventionModel Misuse DetectionPrompt Injection MitigationSecure Software Development LifecycleAI Risk Frameworks

Tools & Technologies

SageMakerAzure MLVertex AISecurity ToolsMonitoring Platforms

Industry Keywords

AI SecurityModel RiskSecurity PostureAI/ML SystemsSecurity Assessments

Tech Stack

Tools & technologies

AzureCyber SecuritySDLC

About the role

Key responsibilities & impact

Monitoring and strengthening the security posture of our AI/ML systems, APIs, and model-serving environments.
Building detection and monitoring capabilities to identify risks such as model misuse, prompt injection, data poisoning, and unauthorized model access.
Partnering with development, operations, and security teams to secure AI environments across their full lifecycle.
Automating security monitoring and remediation workflows for AI systems.
Evaluating and implementing AI security tools and model governance solutions.
Contributing to the development of AI-specific risk frameworks, controls, and policies.
Staying current on the evolving AI risk landscape and supporting security assessments and testing of LLMs and AI services.

Requirements

What you’ll need

Knowledge equivalent to completing a Bachelor's degree in Computer Science or a related field.
3 to 5 years of experience in cybersecurity, security engineering, or risk management.
Hands-on experience with machine learning systems, LLMs (Anthropic Claude, OpenAI, or open-source models), or AI/ML platforms such as SageMaker, Azure ML, or Vertex AI.
Familiarity with adversarial machine learning concepts and model risk is preferred.
Experience with security tools, monitoring platforms, or security automation frameworks.
Experience in application security, DevSecOps, or secure software development lifecycle (SDLC) is a plus.

Benefits

Comp & perks

medical, dental, vision
HSA and FSA
generous earned time off
401K/student loan repayment
life insurance & AD&D insurance
employee assistance program
employee stock purchase program
tuition reimbursement
performance-based incentive pay
short- and long-term disability
robust wellness program