IAM/AI Engineer

Tekskills Inc.; Kolkata District; Presencial; INR 1 500 000 - 4 000 000; Tempo integral

Resumo da oferta

Tekskills Inc. in Bengaluru seeks an IAM/AI Engineer with 5-7 years’ experience to design AI-driven identity workflows and security controls.

You will integrate AI agents with IAM/PAM and ITSM tools like ServiceNow, build 0→1 AI products, and implement guardrails for governance while automating routine access processes and risk analysis.

Qualificações

• 5-7 years of IAM/AI exposure required.
• Hands-on familiarity with automation, APIs, and integrations.
• Experience building AI-powered products (0→1) and governance.

Responsabilidades

• Design AI-driven IAM workflows and agentic automation for access use cases.
• Integrate AI agents with IAM, PAM and ITSM tools (e.g., ServiceNow).
• Perform intelligent access and risk analysis to guide approvals.
• Implement guardrails for Human-in-the-Loop governance.
• Continuously optimize workflows based on audits and feedback.

Conhecimentos

IAM

AI/ML

Automation

APIs & Integrations

Identity & Access Mgmt

PAM

ITSM Integration

Governance

AI Security

Ferramentas

ServiceNow

Descrição da oferta de emprego

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