Advisor -AI Security Engineer

About this role

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Team Overview

At TransUnion, we have a welcoming and energetic environment that encourages collaboration and innovation – we’re consistently exploring new technologies and tools to be agile. This environment gives our people the opportunity to hone current skills and build new capabilities, while discovering their genius.

Come be a part of our team – you’ll work with great people, pioneering products and cutting-edge technology.
This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.

Role Overview And Core Responsibilities

Key Responsibilities

1. AI & LLM Guardrails and Agent Security

• **Enterprise Guardrails:** Design, implement, and enforce LLM guardrails across user/desktop applications and cloud-hosted environments to prevent prompt injection, data exfiltration, and toxic outputs.

• **AI Agent Security:** Architect and implement secure execution boundaries, sandboxing, and identity/access management (IAM) frameworks specifically tailored for autonomous cloud-hosted AI agents.

• **Threat Modeling:** Conduct advanced threat modeling on LLM architectures, RAG (Retrieval-Augmented Generation) pipelines, and agentic workflows.

2. Cloud Security & Data Loss Prevention (DLP)

• **Multi-Cloud Engineering:** Configure and maintain strict security postures across **AWS** and **GCP** environments hosting AI workloads.

• **Advanced DLP:** Define, implement, and monitor robust Data Loss Prevention (DLP) policies across cloud infrastructures to ensure sensitive enterprise data is not inadvertently ingested or exposed by AI models.

3. DevSecOps & Pipeline Integration

• **CI/CD Automation:** Integrate automated security scanning directly into enterprise deployment pipelines using orchestration tools like **Harn...