In this role you will help shape Subsea7's AI strategy by building a secure, compliant, and well-governed AI environment. You will partner with IT, Security, Legal, Data and business teams to define AI guardrails, policies, and approved usage. You’ll assess new AI capabilities, identify security and privacy risks, and drive governance and risk controls across AI development and deployment. This position offers the opportunity to influence how AI is adopted safely at scale within the organisation.
Responsibilities
Design, implement and maintain security controls across AI platforms, cloud services, enterprise apps and infrastructure
Evaluate, secure and monitor AI solutions including Generative AI and ML environments
Develop and automate security processes, detections and response capabilities using AI and SOAR tech
Identify, assess and mitigate risks of AI adoption (data leakage, etc)
Work with data, software engineering and cloud teams to embed security into AI lifecycles
Support the Information Security Manager and collaborate across the organisation
Provide technical security guidance for AI initiatives
Conduct security assessments, threat modelling and architecture reviews for AI/tech solutions
Monitor threat intelligence and emerging vulnerabilities in AI
Support security incident investigations involving AI systems and contribute to lessons learned
Support compliance and audits related to cybersecurity, data protection and AI governance
Key requirements
Extensive experience in cybersecurity engineering, security operations or security architecture
Experience with AI technologies, Generative AI platforms, ML environments, or AI governance and security controls
Solid understanding of cybersecurity frameworks and best practices (e.g., NIST, ISO 27001, GDPR)
Knowledge of AI security risks and controls (model security, prompt injection, data privacy, AI supply chain)
Experience securing enterprise technologies with AI across platforms (Microsoft stack, Google, Anthropic, Github)
Understanding of cloud security architectures, especially Microsoft Azure
Effective communication with technical and non-technical stakeholders
Ability to assess risk, prioritise work, and manage multiple initiatives
Analytical and problem-solving skills with proactive security mindset
#LI-AR1
Effective communication with both technical and non-technical stakeholders
Proactive, analytical, and innovative approach to security challenges
Strong stakeholder engagement and collaboration
AI security governance and risk management
Security controls for AI platforms and cloud services
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