Purpose:

Design and operate AI-driven, agentic workflows that automate identity governance, access management, and security operations while maintaining robust human oversight and compliance.

Key Responsibilities

1. Familiarity with automation, workflows, and integrations (APIs, scripts, connectors) - Most importantly, exposure to AI/ML, copilots, or agentic systems

2. Good understanding of how to build AI Products

3. Design AI-Driven IAM Workflows - Build agentic workflows to automate identity use cases such as access requests, JML exceptions, certifications, policy enforcement, and entitlement reviews.

4. Intelligent Access &

- Risk Analysis - Use AI to analyze identity, entitlement, and activity data to recommend approvals, detect anomalies, and highlight high-risk access patterns.

- IAM,



PAM &

- ITSM Integration -Integrate AI agents with existing IAM tools, PAM platforms, and ServiceNow to orchestrate end-to-end identity operations.

- Human-in-the-Loop Governance - Implement guardrails where AI handles routine tasks,

- Workflow Optimization &

- Learning - Continuously improve automation based on audit outcomes, incident trends, and operational feedback.

- AI Security, Compliance &

- Data Governance - Ensure AI workflows meet Playstation security, privacy, and compliance standards for identity and privileged access data.

📌 AI & ML Architect (Bengaluru)
🏢 Goai Solutions
📍 Bengaluru