Advisor -AI Security Engineer

Overview

Advisor - AI Security Engineer focused on securing LLMs and autonomous AI agents, enforcing AI guardrails, and integrating security into cloud and CI/CD pipelines.

What you'll do

• Design, implement, and enforce LLM guardrails across user/desktop apps and cloud environments.
• Architect secure execution boundaries, sandboxing, and IAM frameworks for autonomous AI agents.
• Conduct threat modeling for LLM architectures, RAG pipelines, and agentic workflows.
• Configure and maintain strict AWS and GCP security postures for AI workloads, including DLP policies.
• Integrate automated security scanning into enterprise deployment pipelines using Harness.
• Manage and secure software packages, model weights, and dependencies in JFrog Artifactory with vulnerability scanning.
• Design and implement custom AI/ML-powered security scanning to detect anomalies, vulnerabilities, and misconfigurations.

What you'll need

• At least 10 years of dedicated cybersecurity experience in AppSec, Cloud Security, or DevSecOps.
• At least 3 years of hands-on AI/ML security experience for LLM vulnerabilities and guardrail frameworks.
• Proven experience configuring IAM and DLP security policies natively within AWS and GCP.
• Deep understanding of CI/CD tools, specifically Harness.
• Experience with artifact management platforms, specifically JFrog Artifactory.

Nice to have

• Experience securing containerized workloads with Docker and security policies in Kubernetes.
• Proficiency in Python or Go for custom AI-driven security scanning utilities.
• Relevant certifications including AWS Certified Security, Google Professional Cloud Security Engineer, CISSP, or specialized AI/ML security credentials.

Details

• Hybrid role with regular in-person work at an assigned TransUnion office location for a minimum of two days a week.