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Tier‑1 brand and Pune metro increase competition, but niche AI identity security specialization limits applicant density.
IAM and security skills transfer broadly, but AI identity specialization narrows cross-industry fit.
Requires deep IAM/security expertise and specialized AI identity experience, making candidate filters strict.
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Own discovery, lifecycle management, and enforcement of security controls for AI identities including models, agents, service accounts, and non-human actors.
Maintain visibility and continuous risk assessment of AI identities across environments, integrating with broader identity and AI security posture management systems.
Conduct security assessments, develop governance standards, and implement monitoring and detection mechanisms to mitigate identity-based risks in AI systems.
Bachelor’s or Master’s degree in Computer Science, Information Security, Engineering, or related field.
Strong experience in identity and access management, security engineering, or security operations with exposure to AI or automated systems.
Expertise in Least Agency frameworks, Zero Trust Architecture, Delegated Authority Management, Cryptographic Identities, and Short Lived Credentialing.
Work Experience Required: Not explicitly mentioned in the JD. Relevant certifications (CISSP, GIAC, CIAM/IAM, cloud security) are desirable but not mandatory.
Experienced in securing non-human identities, machine-to-machine access, and service accounts at scale within complex AI/ML architectures and data pipelines.
Skilled at translating identity risks into actionable security outcomes, partnering cross-functionally with IAM and platform teams for policy-based enforcement.
Comfortable operating in environments requiring continuous improvement, POC execution, and alignment with industry standards (NIST, ISO) and regulatory compliance in AI identity governance.