AI Security

Role & responsibilities

• Define and drive AI security governance, policies, and regulatory compliance frameworks across the organization
• Monitor and mitigate risks related to Shadow AI usage and unauthorized AI adoption
• Lead AI model security testing, red teaming, and adversarial attack simulations
• Implement AI runtime security controls and guardrails to protect deployed AI systems
• Ensure secure design and operation of AI agents and autonomous systems across enterprise environments

Preferred candidate profile

• 1015 years in Cybersecurity / Data Security
• Minimum 5+ years in AI/ML security, AI governance, or advanced threat defense
• Experience in enterprise-scale AI deployments and security architecture
• Strong expertise in AI/ML security, LLM risks (prompt injection, data leakage, adversarial attacks), and securing end-to-end AI lifecycle - Mandatory
• In-depth knowledge of AI governance, risk management, and regulatory frameworks (ISO 42001, GDPR, EU AI Act),
• Knowledge of Mitre Atlas - Mandatory
• Hands-on experience in AI Red Teaming, model security testing, and adversarial attack simulations - Mandatory
• Proficiency in AI runtime security, monitoring, and API/agent security controls across cloud environments
• Excellent stakeholder management, policy definition, and cross-functional collaboration skills for enterprise AI adoption