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Mid-level (5 years), metro location, known employer and broad skillset increase applicant competition.
Core IAM and IGA skills transfer across industries, though AI-agent governance adds moderate domain specificity.
Explicit 5+ years plus mandatory IGA platform and IAM governance experience increases shortlisting strictness.
Design and implement IAM and security solutions to govern AI agent access, non-human identities, and automated systems across enterprise infrastructure.
Partner with security and InfoSec teams to evaluate, deploy, and maintain AI-aware access controls including runtime authorization and credential-less authentication models.
Support discovery, risk assessment, and remediation for AI-related security issues, including incident response and governance compliance.
Minimum 5 years professional experience in IAM with hands-on experience in IGA platforms like Saviynt, SailPoint, or Oracle Identity Manager.
Working knowledge of AI agent/non-human identity governance, credential lifecycle, runtime authorization, and AI compliance frameworks.
Familiarity with authentication protocols, federated identity, credential-less architectures, and workload identity models.
Location requirement: India.
Experienced IAM engineer comfortable operating at intersection of traditional IAM and AI/agentic system security needs.
Skilled at translating business intent of AI adoption into scalable IAM security architecture and controls.
Collaborates effectively with InfoSec, AI security teams, and business stakeholders to implement advanced governance and risk mitigation.