Job Summary

Position Tittle: EY GDS - Senior Cyber AI Engineer, Technology Consulting:

As a Senior Cyber AI Engineer within EYs Global Delivery Services (GDS) Cybersecurity Team, you will drive the convergence of Cybersecurity, Vulnerability Management, and Artificial Intelligence to build intelligent, scalable, and automated security operations.

You will design, implement, and enhance AI-enabled vulnerability management programs that leverage machine learning, generative AI, intelligent analytics, and automation to improve risk identification, prioritization, remediation, and executive decision-making across enterprise environments.

In addition to delivering client engagements, you will help shape EY s AI-driven Cybersecurity capabilities, contribute to thought leadership, and mentor teams on applying AI responsibly and securely within cyber operations.

The Chance

As organizations rapidly adopt AI and cloud-native technologies, cybersecurity teams must evolve beyond traditional vulnerability management approaches. You will help clients transform their security operations by applying AI and data-driven techniques to vulnerability management lifecycle.

Key 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.
- 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.
- 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.
- Automate security validation, compliance verification, and security regression testing for AI applications.

Skills

- Application Security (OWASP Top 10)
- Secure SDLC / DevSecOps
- Penetration Testing and Red Teaming
- Security Architecture Reviews
- Cloud Security
- Identity and Access Management
- Threat Detection and Monitoring
- Vulnerability Management
- Mitre atlas

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 GDS Cyber - Frontier AI-VMDR - Senior Engineer (Bengaluru)
🏢 EY
📍 Bengaluru