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
- Solid 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

📌 AI Security (Mysuru)
🏢 Larsen and Toubro (L&T)
📍 Mysuru