Advisor -AI Security Engineer

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 ).

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.

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