Senior AI Security Architect Consultant

In this role you will design, implement and govern secure AI/ML systems across the enterprise, embedding security, privacy, and trust from data ingestion to deployment and monitoring. You will lead AI security architecture and collaborate with data scientists, engineers and security teams to mitigate adversarial, privacy, and misuse risks. You’ll shape secure-by-design AI pipelines, governance, and incident response at scale. This is a high-impact, cross-functional role that blends cybersecurity expertise with hands-on AI/ML proficiency to protect critical AI initiatives.

• flexible work options
• continuous learning and development
• wellbeing and support programs
• competitive benefits
• opportunities to work on cutting-edge AI security
• global collaboration and impact

• Define and lead the AI security architecture roadmap aligned to enterprise strategy
• Develop secure-by-design frameworks for AI/ML pipelines (data ingestion, training, inference, deployment)
• Establish AI trust, risk, and compliance controls (explainability, fairness, robustness)
• Conduct AI threat modelling and implement mitigation controls
• Integrate security into ML pipelines (CI/CD/ML Ops) and manage data lineage, model versioning, and access control
• Embed automated security testing into model development pipelines
• Ensure privacy compliance and apply privacy-preserving techniques (differential privacy, federated learning, data anonymization)
• Define policies for sensitive data usage in AI models
• Design safeguards for LLMs/generative AI and API security
• Establish AI security standards and support audits(gov, compliance)
• Collaborate with data scientists, ML engineers, DevOps, and security teams; provide security design reviews
• Define monitoring for model drift, anomalies, and misuse; prepare incident response playbooks and lead investigations

• 20+ years in cybersecurity
• at least 3+ years in AI/ML security or data security
• proven experience designing secure AI/ML architectures
• experience with ML frameworks (TensorFlow, PyTorch)
• experience with cloud platforms (Azure, AWS, GCP) and AI services
• identity, access management, encryption, and network security
• threat modelling and risk assessment methodologies
• Bachelor’s or Master’s degree in Computer Science, Cybersecurity, AI/ML, or related field

• strong communication
• stakeholder management
• collaboration across cross-functional teams
• AI/ML security and adversarial techniques
• Cloud security architecture
• Data privacy and protection