Overview

GDS Cyber - Frontier AI-VMDR - Senior Engineer At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you.

Responsibilities

• Design, implement, and maintain enterprise AI security guardrails.
• Develop controls to mitigate prompt injection, jailbreaks, data leakage, hallucinations, model abuse, and adversarial attacks.
• Define AI trust, safety, governance, and security standards. Evaluate AI applications against organizational security, privacy, and compliance requirements. Establish policies and enforcement mechanisms for responsible AI usage.
• Conduct security architecture reviews for AI applications, agents, and autonomous workflows.
• Define secure deployment patterns for LLM, RAG, and agent-based solutions. Establish security logging, monitoring, and detection capabilities for AI systems. AI Red Teaming
• Conduct AI red team assessments against enterprise AI applications.
• Develop adversarial testing scenarios and attack simulations. Identify and document vulnerabilities and weaknesses within AI systems. Perform threat modeling for AI-enabled business processes.
• Define remediation recommendations and compensating controls. Perform AI-focused penetration testing against LLM, RAG, and agentic applications. Assess risks related to prompt injection, indirect prompt injection, tool manipulation, excessive agency, data poisoning, and model abuse. Execute threat-informed adversarial simulations aligned to MITRE ATLAS and OWASP LLM guidance. Engineering & Automation
• Develop Python-based automation for AI security and testing workflows.
• Build APIs, integrations, and orchestration frameworks supporting AI evaluation efforts.
• Integrate testing and governance controls into CI/CD pipelines.
• Create dashboards and reporting capabilities that provide visibility into AI risk and performance.
• Integrate AI security controls into DevSecOps and Secure SDLC processes.