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

EY; Thiruvananthapuram; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

EY in India is seeking a Senior Engineer for AI & SaaS Product Security to lead red teaming, threat modelling and guardrail design across AI workflows.

You will secure APIs and cloud inference endpoints, integrate security into ML pipelines, and collaborate with SOC teams to monitor AI workloads. The role requires 3–6 years of cybersecurity experience with GenAI, Azure/AWS exposure, and hands-on security testing in enterprise environments.

Qualifications

• 3–6 years in cybersecurity with AI/GenAI security focus.
• Hands-on experience: vulnerability assessment, red teaming or threat modelling.
• Cloud exposure: Azure or AWS.

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

GenAI concepts

Application security

Cloud security

Threat modelling

Adversarial testing

OWASP Top 10

MITRE ATT&CK

Tools

Garak

PyRIT

LLM Guard

ART

Foolbox

Job description

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

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.

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.

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