Principal Security Engineer, AI Security & SecOps

Uniphore is one of the largest B2B AI-native companies—decades-proven, built-for-scale and designed for the enterprise. The company drives business outcomes, across multiple industry verticals, and enables the largest global deployments.

Uniphore infuses AI into every part of the enterprise that impacts the customer. We deliver the only multimodal architecture centered on customers that combines Generative AI, Knowledge AI, Emotion AI, workflow automation and a co-pilot to guide you. We understand better than anyone how to capture voice, video and text and how to analyze all types of data.

As AI becomes more powerful, every part of the enterprise that impacts the customer will be disrupted. We believe the future will run on the connective tissue between people, machines and data: all in the service of creating the most human processes and experiences for customers and employees.

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.

• Build and run the AI red-teaming program, aligned to the OWASP LLM and Agentic Top 10 and MITRE ATLAS, and partner with product and engineering to embed AI security controls into the platform lifecycle.