Cyber Security Architect – AI Security

Do you have a background in software, network, or cybersecurity architecture and a passion for shaping AI-powered solutions? Then you might be exactly who we are looking for!

Role Purpose

The Cyber Security Architect – AI Security is responsible for designing, reviewing, and governing secure AI-enabled solutions and architectures across the organisation and customer environments. The role ensures that artificial intelligence systems, including generative AI, AI assistants, agentic AI solutions, local LLMs, and machine learning platforms, are secure, resilient, compliant, and aligned with organisational risk management and governance requirements. The architect acts as a bridge between cybersecurity, AI engineering, data, risk, and business stakeholders.

Responsibilities

• Consult Customers in their journeys of building secure AI architectures, platforms and solutions
• Define and maintain secure AI architecture principles, patterns, and reference architectures.
• Conduct architecture reviews and provide security guidance for AI initiatives and AI-enabled products.
• Consult in AI threat modeling and risk assessments.
• Define security requirements for AI systems, agents, models, data pipelines, and integrations.
• Collaborate with engineering, data, cloud, and security teams to implement appropriate safeguards.
• Support AI governance initiatives and ensure alignment with regulatory and compliance requirements.
• 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!

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