TransUnion's Job Applicant Privacy Notice
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
Skills Required
- Minimum 10 years of experience in cybersecurity (AppSec, Cloud Security, or DevSecOps)
- Minimum 3 years hands-on experience in AI/ML security, LLM vulnerabilities, and guardrail frameworks
- Proven experience configuring security policies, IAM, and DLP tools in AWS and GCP
- Deep understanding and experience integrating security into CI/CD pipelines, specifically using Harness
- Experience securing software packages, model weights, and dependencies using JFrog Artifactory with vulnerability scanning
- Experience performing threat modeling for LLM architectures, RAG pipelines, and agentic workflows
- Design and implement secure execution boundaries, sandboxing, and IAM for autonomous cloud-hosted AI agents
- Experience securing containerized workloads and applying Kubernetes security policies (network policies, pod security standards)
- Proficiency in Python, Go, or similar languages for building custom AI-driven security scanning tools
- Relevant certifications such as AWS Certified Security, Google Professional Cloud Security Engineer, CISSP, or AI/ML security credentials
What the Team is Saying
TransUnion Compensation & Benefits Highlights
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Healthcare Strength — Healthcare is described as comprehensive with day-one medical, dental and vision coverage, plus HSA/FSA options and expanded mental-health support via Spring Health. Feedback suggests coverage depth and immediate eligibility are notable strengths.
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Parental & Family Support — Family support includes paid parental leave with a gradual return, adoption and caregiver assistance, and backup care through a Care@Work membership. External recognition highlights inclusive offerings such as fertility support and bereavement provisions.
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Leave & Time Off Breadth — Time-off programs feature flexible time off, paid holidays, two global wellness days, and paid volunteer time. Feedback suggests these leave elements contribute meaningfully to work-life balance.
TransUnion Insights
What We Do
TransUnion is a global information and insights company that makes trust possible by ensuring that each consumer is reliably and safely represented in the marketplace. We do this by having an accurate and comprehensive picture of each person. This picture is grounded in our legacy as a credit reporting agency which enables us to tap into both credit and public record data; our data fusion methodology that helps us link, match and tap into the awesome combined power of that data; and our knowledgeable and passionate team, who stewards the information with expertise, and in accordance with local legislation around the world. Because of our work, organizations can better understand consumers in order to make more informed decisions, and earn their trust through great, personalized experiences, and the proactive extension of the right opportunities, tools and offers. In turn, consumers can be confident that their data identities will result in the opportunities they deserve. We make trust possible, so businesses and consumers can transact with confidence and achieve great things. We call this Information for Good®—it’s our purpose, and what drives us every day.
Why Work With Us
Our culture is welcoming, energetic and innovative. There’s an overall synergy that flows throughout TransUnion, creating a sense of unity in knowing that we’re all working to achieve the same overall goal. We’re dedicated to providing opportunities for our people to get involved and stay connected with their colleagues across the globe.
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TransUnion Teams
TransUnion Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
