Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
EY

Senior Cyber Architect – OT and Engineering, Cloud Security

EY

Senior role in EY's AI Security practice focusing on securing AI/GenAI systems. Leading adversarial testing initiatives and implementing robust controls in enterprise environments.

Posted 7/24/2026full-timeBengaluru • 🇮🇳 IndiaSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI security, including threat modeling, vulnerability assessment, and the integration of security controls into AI/ML pipelines. Proficient in securing cloud environments and collaborating with security operations teams for effective threat detection.

Highest-signal resume keywords
AI Threat ModellingVulnerability AssessmentCloud SecurityRed TeamingAI Security Concepts

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Prompt InjectionJailbreak ScenariosData ExfiltrationML Pipeline SecurityAPI SecurityLLM GuardrailsRAG Security ControlsIncident ResponseThreat ExploitationDevSecOps Workflows
Tools & Technologies
AzureAWS
Industry Keywords
CybersecurityApplication SecurityCloud EnvironmentsAI Workload DetectionMonitoring Use Cases

Tech Stack

Tools & technologies
AWSAzureCloudCyber Security

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 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)

Benefits

Comp & perks
  • Opportunity to work on advanced AI security engagements
  • Exposure to global clients
  • Continuous learning in AI-led cyber defence and adversarial testing methodologies