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You will be updated with latest job alerts via email$ 100000 - 135000
1 Vacancy
Nelnet is a diversified and innovative company committed to enriching lives through the power of service as a student loan servicer professional services company consumer loan originator and servicer payments processor renewable energy solutions and K-12 and higher education expert. For over 40 years Nelnet has been serving its customers associates and communities.
The perks of working at Nelnet go beyond our benefits package. When you join the Nelnet team youre part of a community invested in the success of each individual. That support comes through in our work as we are united by our mission of creating opportunities for people where they live learn and work.
The Cybersecurity AI Engineer at Nelnet plays a critical role in securing the organizations AI/ML infrastructure and applications. This position works at the intersection of cybersecurity artificial intelligence and operations focusing on protecting machine learning models LLMs data pipelines and associated services from evolving threats. The ideal candidate combines expertise in security engineering with a deep understanding of AI technologies and partners across IT security and data science teams to implement resilient compliant and secure AI solutions.AI and Security Engineering
Secure AI/ML model development and deployment environments (e.g. LLMs vector databases training pipelines).
Create automated tools to detect and mitigate AI-related threats (e.g. anomalous model outputs prompt injections).
Perform adversarial testing and threat modeling of AI systems.
Support logging monitoring and alerting for AI/ML environments integrated with SIEM/XDR platforms.
Participate in the design of model access controls encryption and governance enforcement.
Assist in the development and enforcement of AI-related security policies and procedures.
Innovation
Challenge legacy assumptions and recommend innovative AI-native security approaches.
Identify short- and long-term strategies for securing AI assets that drive business value.
Develop security prototypes and proof-of-concepts for emerging AI architectures.
Stay current on adversarial ML research and translate findings into actionable defenses.
Agility
Adapt to the rapidly evolving AI landscape and emerging threat vectors.
Navigate ambiguity in AI risk management and compliance controls.
Help business and technical partners adjust to changes in AI security requirements.
Be responsive and adaptive during incidents involving AI systems.
Problem Solving
Investigate complex security incidents involving AI-generated outputs or manipulated inputs.
Apply critical thinking to defend against novel AI abuse cases.
Develop layered mitigation strategies across models APIs and infrastructure.
Own problem resolution end-to-end.
Collaboration
Partner with SOC analysts developers AI engineers and red teams to defend AI systems.
Lead threat modeling and tabletop exercises focused on AI threat scenarios.
Mentor peers on emerging risks and best practices in AI/ML security.
Foster cross-functional alignment to integrate AI security in enterprise roadmaps.
Communication Skills
Translate technical AI security issues into business risk language for stakeholders.
Write clear documentation for AI detection rules playbooks and findings.
Present AI threat scenarios and mitigation strategies to technical and non-technical audiences.
Strategic Focus
Align AI security efforts with Nelnets business compliance and technology goals.
Act as a trusted advisor on AI governance LLM access and model risk.
Anticipate future regulatory requirements around AI usage and safety.
Deliver security solutions that balance innovation and operational integrity.
**Pay Range for this role is - $100000 -$135000
EDUCATION:
Knowledge equivalent to the completion of a Bachelors degree in Computer Science or a related field of study.
EXPERIENCE:
35 years in a cybersecurity security engineering or threat detection role.
Hands-on experience with machine learning systems LLMs (e.g. OpenAI Anthropic or open-source models) or AI/ML platforms (e.g. SageMaker Azure ML Vertex AI).
Familiarity with adversarial machine learning concepts model risk or AI red teaming is preferred.
Experience with SIEM platforms threat detection tools or security automation frameworks.
Experience in application security DevSecOps or secure software development lifecycle (SDLC) is a plus.
COMPETENCIES SKILLS/KNOWLEDGE/ABILITIES:
Needs:
Knowledge of security control and computer technology.
Knowledge of how to lead and/or motivate others.
Knowledge of and ability to apply concepts of statistics and probability to identify and address problems trends and relationships in work related data.
Knowledge of at least one computer development language methodology and techniques.
Familiarity and understanding of AI system architectures and security implications.
Scripting or development experience in Python or similar languages.
Knowledge of AI-specific threat frameworks (e.g. MITRE ATLAS OWASP LLM Top 10).
Strong investigative skills and comfort working with logs telemetry and alerts.
Ability to work across teams and lead cross-functional security initiatives.
Familiarity and experience with various regulations governing IT environments.
Familiarity with regulatory and ethical frameworks around AI security and model governance.
Familiarity and experience with infrastructure deployment and systems administration
Excellent organizational presentation verbal and written communication skills
Ability to effectively assess and communicate risks and appropriate levels of urgency to management and engineering staff
Aptitude for self-study setting and achieving long term goals
Actively seeks to remain technically current and increase expertise and abilities
Challenges prevailing assumptions when appropriate
Willing to adapt to changing technology and business landscapes
Considers change as opportunities to be challenged and grow
Ability to adapt style of communications to match audience and information sharing needs
Wants:
Knowledge of cyber defense and SOC detection capabilities
Knowledge of Indicators of Compromise of common security tools and methodologies
Familiarity with reverse engineering methodologies and tools
Familiarity with forensic methodologies and tools
Familiarity with EDR firewall IDS/IPS evasion
Deep understanding of machine learning architectures LLMs (e.g. GPT LLaMA) and common AI frameworks (e.g. PyTorch TensorFlow Hugging Face).
Our benefits package includes 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 and a robust wellness program. Click here to learn more about our benefits: LINK.
Nelnet is committed to providing a welcoming and respectful workplace where all associates have the opportunity to succeed. As an Equal Opportunity Employer we ensure that all qualified applicants are considered for employment. Employment decisions are made without regard to race color religion/creed national origin gender sex marital status age disability use of a guide dog or service animal sexual orientation military/veteran status or any other status protected by federal state or local law. We value the unique contributions of every team member and believe that a positive work environment benefits everyone.
Qualified individuals with disabilities who require reasonable accommodations in order to apply or compete for positions at Nelnet may request such accommodations by contacting Corporate Recruiting at or.
Nelnet is a Drug Free and Tobacco Free Workplace.
Full-Time