Security Engineer – AI Security

Location: Bengaluru, India

Function: AI Security – Technology & Innovation Centre (TIC)

Employment Type: Full time

Role Purpose The Security Engineer – AI Security is responsible for identifying, analysing, and mitigating security risks across AI systems, models, and pipelines. The role focuses on applying security engineering principles to AI-specific threats, validating security controls, and ensuring robustness, compliance, and trustworthiness of AI-enabled systems.

Key Responsibilities
Assess security risks in AI models, data pipelines, and deployment settings.
Design and execute security testing for AI systems, including misuse, backdoors, and

anomalous behaviour.
Collaborate with researchers to evaluate model vulnerabilities and security

assumptions.
Support validation of AI security controls such as scanning, verification, and unlearning

mechanisms.
Contribute to AI threat modelling, abuse case definition, and mitigation strategies.
Review system designs to ensure compliance with security and privacy requirements.
Support investigation and remediation of AI-related security incidents.





Required Technical Skills
Solid background in security engineering and applied cybersecurity.
Understanding of AI/ML systems and common AI-specific threat vectors.
Experience with security testing, threat modelling, and risk assessment.
Familiarity with AI security techniques such as model analysis, anomaly detection, or

behaviour testing.
Knowledge of secure system design, access control, and compliance considerations.
Robust scripting or programming skills (Python or similar).

Qualifications & Experience

Education
Bachelor’s or Master’s degree in Computer Science, Cybersecurity, Engineering, or a

related field.

Experience
5–8+ years of experience in security engineering, application security, or applied

cybersecurity roles.
Exposure to ML or data-intensive systems is strongly preferred.

Success Indicators
Timely identification and mitigation of AI security risks.
Effective validation and strengthening of AI security controls.
Improved security posture and resilience of AI systems and platforms.

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