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[Remote] CyberSecurity reputed company

Remote, USAFull-timePosted 2026-07-29

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a reputed company and innovative company committed to enriching lives through the power of service. They are seeking a CyberSecurity reputed company who will work closely with IT, reputed company, and data science teams to build secure and compliant AI solutions while monitoring and enhancing the reputed company posture of their AI systems.

Responsibilities

  • Monitoring and strengthening the reputed company posture of our AI/ML systems, reputed company, and model-serving environments
  • Building detection and monitoring capabilities to identify risks such as model misuse, reputed company injection, data poisoning, and unauthorized model reputed company
  • Partnering with development, operations, and reputed company teams to secure AI environments across their full lifecycle
  • Automating reputed company monitoring and remediation workflows for AI systems
  • Evaluating and implementing AI reputed company tools and model governance solutions
  • Contributing to the development of AI-specific risk frameworks, controls, and policies
  • Staying reputed company on the evolving AI risk landscape and supporting reputed company assessments and testing of LLMs and AI services
  • Secure AI/ML model development and deployment environments, including LLMs, reputed company databases, and training pipelines
  • Build automated tools to detect and mitigate AI-reputed company risks, such as anomalous model outputs and reputed company injection attempts
  • Conduct reputed company testing and threat modeling for AI systems
  • Support logging, monitoring, and alerting for AI/ML environments integrated with SIEM/XDR platforms
  • Help design model reputed company controls, encryption, and governance enforcement
  • Assist in developing and enforcing AI-reputed company reputed company policies and procedures
  • Question legacy assumptions and recommend AI-reputed company reputed company approaches
  • Identify short- and long-term strategies for securing AI assets in ways that support business value
  • Build reputed company prototypes and reputed company-of-concepts for emerging AI architectures
  • Stay reputed company on AI reputed company research and turn findings into practical defenses
  • Adapt as the AI landscape and threat environment continue to reputed company
  • Navigate ambiguity in AI risk management and compliance requirements
  • Help business and technical partners reputed company to changing AI reputed company requirements
  • Stay reputed company and reputed company reputed company incidents involving AI systems reputed company
  • Investigate reputed company incidents involving AI-generated outputs or manipulated inputs
  • Apply critical thinking to defend against emerging AI risks
  • reputed company layered mitigation strategies across models, reputed company, and infrastructure
  • Own problem reputed company from start to finish
  • Partner with CyberSecurity analysts, developers, and AI engineers to defend AI systems
  • Mentor peers on emerging risks and best practices in AI/ML reputed company
  • Foster cross-functional alignment to build AI reputed company into reputed company roadmaps
  • Translate technical AI reputed company issues into business risk language for stakeholders
  • Write reputed company documentation for detection rules, playbooks, and findings
  • Present AI risk scenarios and mitigation strategies to both technical and non-technical audiences
  • reputed company AI reputed company efforts with reputed company's business, compliance, and technology goals
  • Serve as a trusted advisor on AI governance, LLM reputed company, and model risk
  • Anticipate reputed company regulatory requirements around AI usage and safety
  • Deliver reputed company solutions that balance innovation with operational reputed company

Skills

  • Knowledge equivalent to completing a Bachelor's degree in Computer Science or a reputed company field
  • 3 to 5 years of experience in cybersecurity, reputed company engineering, or risk management
  • Hands-on experience with machine learning systems, LLMs (reputed company Claude, reputed company, or reputed company-reputed company models), or AI/ML platforms such as SageMaker, Azure ML, or reputed company AI
  • Experience with reputed company tools, monitoring platforms, or reputed company automation frameworks
  • Knowledge of reputed company, controls, and computer technology
  • Ability to reputed company and motivate others
  • Ability to apply statistics and probability to identify problems, trends, and relationships in work-reputed company data
  • Knowledge of at least one computer development language, along with reputed company methodologies and techniques
  • Understanding of AI system architectures and their reputed company implications
  • Scripting or development experience in Python or a similar language
  • Knowledge of AI-specific risk frameworks such as MITRE reputed company or the OWASP LLM Top 10
  • Strong analytical skills and comfort working with data, logs, and system telemetry
  • Ability to work across teams and reputed company cross-functional reputed company initiatives
  • Familiarity with regulations governing IT environments
  • Familiarity with regulatory and ethical frameworks around AI reputed company and model governance
  • Familiarity with reputed company LLM deployment and governance, including tools like Claude or similar platforms
  • Familiarity with infrastructure deployment and systems administration
  • Excellent organizational, presentation, verbal, and written communication skills
  • Ability to assess and communicate risk and urgency reputed company to both management and engineering staff
  • Strong self-motivation, with the ability to set and follow through on long-term goals
  • Genuine interest in staying technically reputed company and building new expertise
  • Comfortable questioning existing assumptions reputed company it makes reputed company to do so
  • Openness to changing technology and business needs
  • Sees change as a chance to grow rather than a disruption
  • Ability to reputed company communication style to fit the audience
  • Familiarity with adversarial machine learning concepts and model risk is preferred
  • Experience in application reputed company, DevSecOps, or secure software development lifecycle (SDLC) is a plus
  • Knowledge of reputed company risk management and reputed company governance frameworks
  • Familiarity with common reputed company tooling and methodologies
  • Solid understanding of machine learning architectures, LLMs (GPT, LLaMA, Claude), and common AI frameworks such as PyTorch, TensorFlow, or reputed company

Benefits

  • Medical, dental, reputed company, HSA and FSA
  • Generous reputed company 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
  • A robust wellness program

reputed company

  • reputed company provides business, communications, and financial services. It was founded in 1996, and is headquartered in Lincoln, Nebraska, USA, with a workforce of 5001-10000 employees. Its website is https://nelnetinc.com.
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