Agile-TC-CS-Cyber Architecture-OT and Engineering-Cloud Security-Senior

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. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. 

Service Line – Senior: (AI & SaaS Product Security, Strategic Platforms and AI Security)

Join the AI Security practice to independently secure AI/GenAI systems and lead adversarial testing initiatives. The role focuses on protecting AI components across lifecycle and implementing robust controls in enterprise environments.

Your Key Responsibilities

• Lead AI red teaming execution including prompt injection, jailbreak and data exfiltration scenarios
• Perform AI threat modelling across model, data, and application layers
• Design and implement LLM guardrails and RAG security controls
• Conduct ML pipeline and model lifecycle security reviews
• Secure APIs and AI inference endpoints in cloud environments
• Support incident response for AI-specific threats and exploitation attempts
• Integrate security controls into AI/ML pipelines and DevSecOps workflows
• Collaborate with SOC teams for AI workload detection and monitoring use cases

Skills and Attributes for Success

• Strong understanding of ML/GenAI concepts (LLMs, embeddings, pipelines)
• Hands-on experience in application security, API security and cloud security
• Knowledge of AI attack surfaces (prompt, model, data layers)
• Adversarial mindset with ability to simulate real-world attack scenarios
• Understanding of OWASP Top 10 and LLM vulnerabilities
• Working knowledge of MITRE ATT&CK framework

To Qualify for the Role

• 3–6 years of experience in cybersecurity, application security or cloud security
• Hands-on exposure to AI/GenAI security concepts or implementations
• Experience in vulnerability assessment, red teaming or threat modelling
• Working knowledge of cloud platforms (Azure/AWS)

Ideally, You’ll Also Have

• Hands-on experience with AI security tools such as Garak, PyRIT, LLM Guard
• Exposure to adversarial ML tools (ART, Foolbox)
• Experience integrating security into MLOps/DevSecOps pipelines
• Certifications in cloud or security domains (AZ-500, CEH, etc.)

What We Look For

• A self-driven cybersecurity professional with strong technical depth in AI security and the ability to independently drive security testing and implementation for enterprise AI workloads.

What We Offer

• Opportunity to work on advanced AI security engagements, exposure to global clients, and continuous learning in AI-led cyber defence and adversarial testing methodologies.

EY | Building a better working world 

 
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.  

 
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.  

 
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.