IAM/AI Engineer

Tekskills Inc.; Hyderabad; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Tekskills Inc. seeks an IAM/AI Engineer with 5-7 years of experience to design and implement AI-driven IAM workflows and agentic systems. The role focuses on automating access requests, risk analysis, and governance, with integration to ServiceNow and PAM tools.

You will build practical AI products, bridging LLM capabilities with security, infrastructure, and UX considerations, ensuring compliant identity operations.

Qualifications

• 5-7 years in IAM/AI engineering or related field.
• Hands-on with AI products: LLM + infra + security + UX.
• Experience building AI-driven IAM workflows and agentic systems.
• Proven ability to 0->1 AI products and deploy production solutions.

Responsibilities

• Design AI-Driven IAM Workflows - Build agentic workflows to automate identity use cases.
• Intelligent Access & Risk Analysis - Use AI to analyze identity, entitlement, and activity data.
• IAM, PAM & ITSM Integration - Integrate AI agents with IAM tools, PAM platforms, and ServiceNow.
• Human-in-the-Loop Governance - Guardrails for routine tasks; human approval for sensitive decisions.
• Workflow Optimization & Learning - Improve automation based on audit outcomes and incidents.
• AI Security, Compliance & Data Governance - Ensure security and privacy in workflows.

Skills

AI/ML

Automation

APIs & Scripts

IAM & PAM

Policy Governance

Tools

ServiceNow

Job description

Role: IAM/AI Engineer

Experience: 5-7 years

Location: Bengaluru

Role & responsibilities

1. Familiarity with automation, workflows, and integrations (APIs, scripts, connectors) - Most importantly, exposure to AI/ML, copilots, or agentic systems (Im looking for someone with practical, not academic)
2. My personal note is this candidate should have a good understanding of how to build AI Products Looking for someone who has already done 0->1, In my simple terminology someone who knows what an AI product is (which is a combination of LLM + MCP + Infra + Security + UX + Governance)
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.
5. IAM, PAM & ITSM Integration -Integrate AI agents with existing IAM tools, PAM platforms, and ServiceNow to orchestrate end-to-end identity operations.
6. Human-in-the-Loop Governance - Implement guardrails where AI handles routine tasks, while sensitive IAM, PAM, and NHI decisions require human approval.
7. Workflow Optimization & Learning - Continuously improve automation based on audit outcomes, incident trends, and operational feedback.
8. AI Security, Compliance & Data Governance - Ensure AI workflows meet Playstations security, privacy, and compliance standards for identity and privileged access data.

Technology and Sub-technology

Automation, workflows, and integrations (APIs, scripts, connectors), AI/ML, copilots, or agentic systems, Design AI-Driven IAM Workflows, IAM, PAM & ITSM Integration, AI Security, Compliance & Data Governance