About the role

• Proposed designation: Manager : AI Security Engineer

• Role type: Permanent

• Reporting to: Associate Director

• Geo to be supported: KDN

• Work timings: Flexible

• Demonstrate foundational knowledge of cybersecurity and artificial intelligence, supporting secure design and deployment of AI systems under guidance from senior team members.

• Assist in implementing and maintaining AI security policies and standards, including controls for prompt injection, topic safety, output guardrails, and basic behavioral monitoring in agentic systems.

• Support threat modeling and risk analysis activities for GenAI and multi‑agent AI systems by identifying common threats, misuse patterns, and security gaps.

• Contribute to ensuring compliance with AI regulations and data protection requirements (e.g., EU AI Act, NIST AI RMF, GDPR, CCPA) through documentation and control validation.

• Participate in investigation and analysis of AI‑related security incidents, such as prompt injection, content violations, and goal manipulation, under senior supervision.

• Operate and help tune AI security tools for anomaly detection, vulnerability identification, and behavior monitoring of AI workflows.

• Apply programming and scripting skills (preferably Python) to support automation of AI security checks, monitoring tasks, and governance workflows.

• Support team efforts to promote AI security best practices, stay current with emerging threats, and share learnings through documentation or internal sessions.

Educational qualifications

· Minimum Bachelor's degree in Computer Science, Information Technology or MCA.

· Preferred certifications: AI-specific security certifications.

Work experience

· 10+ years of experience in Cybersecurity with at least 4 years focused on technical GenAI security

· Strong knowledge of cybersecurity principles, threat modeling, and risk assessment.

· Expertise in GenAI security, including adversarial attack mitigation, guardrail tuning, topic / sentiment classifiers.

· Familiarity with AI security frameworks (NIST AI RMF, OWASP LLM Red Teaming Guide & Top 10).

· Proficiency in Python for GenAI developments and Security automatization (at least Streamlit, AutoGen & Semantic Kernel, smolagents)

· Hands-on experience with AI security tools (garak, giskard, fuzzyai) as well as manual AI security testing (automation experience with Python is a huge plus)

·10 + years of experience in Cybersecurity with at least 4 years focused on technical GenAI security

· Ability to assess and test AI systems to identify common security weaknesses and misconfigurations, with guidance from senior practitioners.

· Good communication skills to collaborate with cross‑functional teams and explain technical findings to non‑technical stakeholders.

· Awareness of or participation in AI security communities or initiatives (e.g., OWASP, CSA, open forums), with willingness to contribute over time.

· Proactive and curious mindset with an interest in identifying potential issues early and seeking guidance on effective remediation approaches.

· Strong passion for emerging AI technologies and AI security trends, with continuous learning through research, labs, or real‑world use cases. Interest in understanding core AI system components, including model behavior, infrastructure, and basic hardware or vendor‑specific optimizations.

Manager : AI Security (Cyber)

About the role