Evaluate emerging AI technologies and assess associated cyber risks.
Guide AI security testing, red teaming, and validation activities.
Contribute to incident response preparedness and resilience planning for AI-enabled environments.
Provide technical leadership and subject matter expertise on AI security to project teams and senior stakeholders.
#DNVCyber
At DNV Cyber, we are passionate about cybersecurity and take pride in the way we are impacting the society we live in. We encourage you to excel professionally through knowledge sharing and demanding cases. At DNV Cyber, you'll have 500 colleagues who share an interest in cyber security with you. With us, you will be surrounded by the most talented people in the cybersecurity field
Join us on an exciting adventure of growth, meaningful work, and shaping the future through cybersecurity!
Visit our website to get to know more about us!
DNV is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without regard to gender, religion, race, national or ethnic origin, cultural background, social group, disability, sexual orientation, gender identity, marital status, age or political opinion. Diversity is fundamental to our culture and we invite you to be part of this diversity.
Cybersecurity Competencies
Strong understanding of security architecture principles and secure-by-design methodologies.
Experience performing threat modelling, security architecture reviews, and security risk assessments.
Knowledge of identity and access management (IAM), privileged access management, and zero-trust architectures.
Experience with cloud security architectures (Azure, AWS, and/or Google Cloud).
Understanding of application security, secure software development lifecycle (SSDLC), DevSecOps, and security testing practices.
Knowledge of network security, segmentation, monitoring, logging, and incident response capabilities.
Familiarity with security frameworks and standards such as
ISO/IEC 27001
NIST Cybersecurity Framework
NIST AI Risk Management Framework
CIS Controls
OWASP Top 10
OWASP Top 10 for LLM Applications
Experience defining and implementing cybersecurity controls in complex enterprise environments.
AI and AI Security Competencies
Strong understanding of AI, machine learning, generative AI, large language models (LLMs), and agentic AI architectures, especially local LLM architectures.
Experience developing AI implementations and systems with local LLM architectures
Experience assessing security risks associated with AI systems throughout their lifecycle
Understanding of AI-specific threats and attack techniques
Knowledge of AI red teaming, adversarial testing, and AI security validation methodologies.
Ability to define security controls for AI assistants, copilots, chatbots, and AI agents.
Understanding of human-in-the-loop controls, oversight mechanisms, and delegated authorisation models for AI-enabled workflows.
Knowledge of secure AI deployment patterns, model governance, and AI operational monitoring
Experience with AI security and governance frameworks, including
ISO/IEC 42001
EU AI Act
NIST AI Risk Management Framework
AI assurance and trustworthy AI practices
Understanding of AI-related regulatory, ethical, and governance requirements.
Experience and Qualifications
Consultant-minded person - ability to communicate technical concepts to executive and non-technical audiences.
Demonstrated experience with AI architecture design, local LLM orchestration and use, generative AI, or data-driven platforms.
Minimum 5–10 years of experience in cybersecurity architecture, security engineering, or cyber risk management.
Experience working in regulated or security-critical environments is considered an advantage.
Bachelor's or Master's degree in Cyber Security, Computer Science, Information Technology, Data Science, or related field is beneficial.
Relevant certifications are beneficial (not mandatory), for example
CISSP
SABSA
CCSP
Microsoft Cybersecurity Architect Expert
ISO/IEC 42001 Lead Implementer or Lead Auditor
AI governance, risk, or security-related certifications
Finish language is mandatory
Security and compliance with statutory requirements in the countries in which we operate is essential for DNV. Background checks will be conducted on all final candidates as part of the offer process, in accordance with applicable country-specific laws and practices.
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