Advisor -AI Security Engineer
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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 Harness.
Artifact Security: Manage and secure software packages, model weights, and dependencies within JFrog Artifactory, ensuring comprehensive vulnerability scanning before deployment.
AI for Security: Design, develop, and implement custom security scanning capabilities powered by machine learning and AI to detect anomalies, code vulnerabilities, and misconfigurations.
Required Knowledge And Experiences
Required Criteria:
Cybersecurity Foundation: Minimum of 10 years of dedicated experience within the cybersecurity domain (e.g., AppSec, Cloud Security, or DevSecOps).
AI Security Specialization: Minimum of 3 years of hands-on experience specifically focused on AI/ML security, LLM vulnerabilities (OWASP Top 10 for LLMs), and guardrail frameworks (e.g., Agent Gateway, Model Armor Guardrails, Llama Guard, or other cloud-native equivalents).
Cloud Proficiency: Proven experience configuring security policies, IAM, and DLP tools natively within AWS and GCP.
Pipeline Expertise: Deep understanding of modern CI/CD tools (specifically Harness) and artifact management platforms (Artifactory).
Preferred / "Added Advantage" Criteria:
Containerization & Orchestration: Strong working experience securing containerized workloads using Docker and managing security policies within Kubernetes (K8s) environments (e.g., network policies, pod security standards).
Coding/Scripting: Proficiency in Python, Go, or similar languages to develop custom AI-driven security scanning utilities.
Certifications: Relevant certifications such as AWS Certified Security, Google Professional Cloud Security Engineer, CISSP, or specialized AI/ML security credentials.
TransUnion Overview:
At TransUnion, we encourage and are committed to creating a real, positive impact and shared sense of purpose within our Workforce for Good, which empowers our people to grow, innovate and contribute to a better future for our communities and customers. We strive to build an environment where our associates are in the driver’s seat of their professional development- while having access to help along the way. We recognize that success comes when our associates thrive both professionally and personally; that’s why we prioritize work/life flexibility and offer resources for our teams across the globe to collaborate and drive excellence.
Be a part of our Workforce for Good - you’ll work with great people, pioneering products and cutting-edge technology.
TransUnion Job Title
Advisor, InfoSec Engineering