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Medium competition: senior niche role but metro location increases applicant density.
High because role requires specialized AI/ML security knowledge and threat-modeling experience.
High due to explicit 8–12 years requirement and mandatory AI security expertise.
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Secure AI/ML and Generative AI systems across model and data lifecycle, including threat modeling, red-teaming, and security testing of large language models and ML applications.
Define and implement security guardrails, controls, and design patterns to prevent prompt injection, data leakage, and model abuse in AI systems.
Integrate AI security tooling and controls into MLOps/LLMOps pipelines and provide advisory on responsible AI, data protection, and governance requirements.
8 to 12 years of professional experience in AI/ML and Generative AI security or related security domains applied to AI.
Experience with threat modeling, security testing, scripting (Python), and familiarity with cloud AI platforms and MLOps/LLMOps pipelines.
Knowledge of AI threat frameworks such as OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, and understanding of ML pipelines, model deployment, and data security.
Location requirement: Bengaluru, Full-time employment.
Experienced in securing AI/ML and Generative AI systems with hands-on expertise in threat modeling and security testing of LLMs and ML applications.
Familiar with cloud AI environments, AI security standards, and integrating security controls within MLOps/LLMOps.
Able to advise on AI governance, responsible AI practices, and data protection with technical and documentation skills to define security standards and remediation.