IAM Engineer

Role: IAM Engineer

Job Location: Bangalore

Experience Required: 6+ years

Notice Period: Immediate to 30days

Role Purpose

Design and operate AI-driven, agentic workflows that automate identity governance, access management, and security operations while maintaining strong human oversight and compliance. This is a hands-on engineering role requiring practical experience building AI products, not theoretical knowledge.

Key Responsibilities

• AI-Driven Workflow Automation: Design agentic workflows to automate identity use cases including access requests, JML exceptions, certifications, policy enforcement, and entitlement reviews using AI/ML capabilities
• Automation & Integration Architecture: Implement automation, workflows, and integrations using APIs, scripts, and connectors to orchestrate identity operations
• Agentic Systems Development: Build and deploy copilots and agentic systems with practical, production-grade implementations (not proof-of-concepts)
• IAM, PAM & ITSM Integration: Integrate AI agents with existing IAM tools, PAM platforms, and ServiceNow to enable end-to-end orchestration of identity operations
• Intelligent Risk Analysis: Use AI/ML to analyze identity, entitlement, and activity data to recommend approvals, detect anomalies, and identify high-risk access patterns
• Human-in-the-Loop Governance: Implement guardrails ensuring AI handles routine tasks while sensitive IAM, PAM, and NHI decisions require human approval and oversight
• AI Security & Compliance: Ensure AI workflows meet organizational security, privacy, and compliance standards for identity and privileged access data
• Continuous Optimization: Improve automation and agentic systems based on audit outcomes, incident trends, and operational feedback
• AI Product Design: Build complete AI products combining LLM, MCP, infrastructure, security, UX, and governance frameworks

Mandatory Technical Skills

• Automation, workflows, and integrations (APIs, scripts, connectors)
• AI/ML with practical implementation experience
• Copilots and agentic systems
• Design of AI-driven IAM workflows
• IAM, PAM & ITSM integration
• IAM (Identity and Access Management)
• PAM (Privileged Access Management)
• AI security and compliance
• Data governance frameworks

Preferred Experience

• 0-1 experience building AI products (understanding of LLM + MCP + Infra + Security + UX + Governance)
• Experience with identity and entitlement management systems
• Demonstrated ability to translate business identity use cases into AI-driven automation
• Background in security operations or identity governance
• Exposure to compliance and regulatory frameworks (SOX, GDPR, HIPAA)
• Experience with ML model evaluation and bias detection
• Knowledge of identity risk and anomaly detection

Education & Qualifications

• Bachelor of Engineering (B.E) / Bachelor of Technology (B.Tech) / Master of Computer Applications (MCA)
• 5-7 years of professional experience in related roles