Advisor -AI Security Engineer

TransUnion; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

TransUnion is seeking an Advisor, InfoSec Engineering in Bengaluru for a hybrid role. You will design secure AI/ML guardrails, manage cloud security across AWS/GCP, and drive DevSecOps practices. The role emphasizes IAM, DLP, and secure product delivery with cutting-edge technologies.

Ideal candidates have 10+ years in cybersecurity and 3+ years in AI security, with relevant certifications. This position blends hands-on security engineering with strategic policy work in a global company.

Qualifications

• 10+ years in cybersecurity (AppSec, Cloud Security or DevSecOps).
• 3+ years in AI/ML security, LLM vulnerabilities, and guardrails.
• Experience configuring security policies, IAM, and DLP in AWS and GCP.

Responsibilities

• Design, implement, and enforce LLM guardrails across apps and cloud-hosted environments.
• Architect secure execution boundaries, sandboxing, and IAM for autonomous AI agents.
• Conduct advanced threat modeling for LLM, RAG pipelines, and agentic workflows.
• Configure security across AWS and GCP, and monitor DLP policies in cloud infra.
• Integrate security scanning into CI/CD pipelines (Harness) and manage Artifactory vulnerabilities.

Skills

Cybersecurity

AI Security

Cloud Security

DevSecOps

Education

AWS Certified Security

Google Professional Cloud Security Engineer

CISSP

AI/ML Security Certifications

Tools

Harness

Artifactory

Docker

Kubernetes

Job description

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

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.