Advisor -AI Security Engineer

TransUnion; India; On-site; INR 350,000 - 700,000; Full time

Job summary

TransUnion is seeking an Advisor, InfoSec Engineering to advance security across AI/LLM guardrails and cloud environments. The role combines security design, threat modeling, and secure deployment practices in a hybrid setup with some in-office days.

The ideal candidate brings 10+ years in cybersecurity, 3+ years in AI security, and strong hands-on with AWS/GCP IAM, DLP, and CI/CD pipelines. Join a team delivering secure, innovative information solutions.

Qualifications

• 10+ years in cybersecurity (AppSec, Cloud Security, or DevSecOps)
• 3+ years focused on AI/ML security and LLM guardrails
• Experience configuring security policies, IAM, and DLP in AWS/GCP
• Deep understanding of CI/CD tools (Harness) and artifact management (Artifactory)

Responsibilities

• Design, implement, and enforce LLM guardrails across apps and cloud environments to prevent prompts and data leakage.
• Architect secure execution boundaries, sandboxing, and IAM for autonomous cloud AI agents.
• Collaborate on Threat Modeling for LLMs, RAG pipelines, and agentic workflows.
• Configure multi-cloud security postures across AWS and GCP; define robust DLP policies.

Skills

Cybersecurity

AI Security

Cloud Security

CI/CD

Tools

Harness

Artifactory

AWS

GCP

Kubernetes

Job description

TransUnion's Job Applicant Privacy Notice Descripción general del equipo

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.

Resumen del rol y responsabilidades clave

Key Responsibilities

• 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.
• 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.
• 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.

Conocimientos y experiencia requeridos

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.

En TransUnion, fomentamos y estamos comprometidos con generar un impacto real y positivo, así como un sentido compartido de propósito a través de nuestra iniciativa Workforce for Good. Esta iniciativa empodera a nuestra gente para crecer, innovar y contribuir a un mejor futuro para nuestras comunidades y nuestros clientes. Trabajamos para construir un entorno en el que nuestros colaboradores tengan el control de su desarrollo profesional, contando al mismo tiempo con el apoyo necesario a lo largo del camino. Reconocemos que el éxito se alcanza cuando nuestros colaboradores prosperan tanto a nivel profesional como personal; por eso priorizamos la flexibilidad entre la vida laboral y personal, y ofrecemos recursos que permiten a nuestros equipos en todo el mundo colaborar y alcanzar la excelencia. Sé parte de nuestra Workforce for Good: trabajarás con personas extraordinarias, productos innovadores y tecnología de vanguardia.

Título de trabajo de TransUnion:Advisor, InfoSec Engineering

View TransUnion's Job Applicant Privacy Notice

TransUnion is a global information and insights company with over 12,000 associates operating in more than 30 countries. We make trust possible by ensuring each person is reliably represented in the marketplace. We do this with a Tru™ picture of each person: an actionable view of consumers, stewarded with care. Through our acquisitions and technology investments we have developed innovative solutions that extend beyond our strong foundation in core credit into areas such as marketing, fraud, risk and advanced analytics. As a result, consumers and businesses can transact with confidence and achieve great things. We call this Information for Good® — and it leads to economic opportunity, great experiences and personal empowerment for millions of people around the world.