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Principal Security Engineer, AI Security & SecOps
Uniphore
Bengaluru, IND
Full-time
Senior · 8+ years experience
Onsite
Discovered 3 weeks ago
WizAI LensMCPAIBOMOWASP LLMMITRE ATLAS
Free
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Role Overview
We are seeking a Principal Security Engineer to lead AI-native security and security automation, and to orchestrate our security operations and incident response. Our frontline monitoring and triage are delivered by a managed MXDR partner, so this is not a 24x7 analyst seat. Instead, you will set detection and response strategy, own the security of our agentic AI platform, and drive automation toward automated remediation so the function scales through engineering rather than headcount. You will be the technical owner of our AI and cloud security tooling (Wiz) and the architect of a lean, high-leverage SecOps capability.
This is a hands-on, strategic role for an engineer who wants to build resilient, automated systems and define what AI security looks like for a frontier agentic platform.
Key Skills for This Role
WizAI LensMCPAIBOMOWASP LLMMITRE ATLAS
Full Job Posting
About The Role
We are seeking a Principal Security Engineer to lead AI-native security and security automation, and to orchestrate our security operations and incident response. Our frontline monitoring and triage are delivered by a managed MXDR partner, so this is not a 24x7 analyst seat. Instead, you will set detection and response strategy, own the security of our agentic AI platform, and drive automation toward automated remediation so the function scales through engineering rather than headcount. You will be the technical owner of our AI and cloud security tooling (Wiz) and the architect of a lean, high-leverage SecOps capability.
This is a hands-on, strategic role for an engineer who wants to build resilient, automated systems and define what AI security looks like for a frontier agentic platform.
What You Will Do (Key Responsibilities)
- Own AI and agentic security tooling, including Wiz AI Security Posture Management and AI Lens for visibility across AI, MCP, agents, and models, runtime guardrails, and the AI Bill of Materials (AIBOM).
- Drive MCP and agent protection from visibility to active enforcement, and integrate model and AI supply-chain scanning into CI/CD.
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