Senior Cyber Architect – OT and Engineering, Cloud Security

Jobtailor; Bengaluru; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Jobtailor is seeking a security-focused AI/GenAI engineer in Bengaluru to lead red teaming efforts and implement guardrails across AI pipelines.

You'll perform threat modelling, secure APIs, and guide incident response for AI-related threats, while collaborating with SOC teams to enhance AI workload monitoring and security controls.

Qualifications

• 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).

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

AI threat modelling

Vulnerability assessment

Red teaming

Cloud security

Incident response

Education

Bachelor’s degree in a relevant field

Tools

Azure

AWS

Job description

• 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

• 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)

Core Competencies

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 Modelling
• Vulnerability Assessment
• Cloud Security
• Red Teaming
• AI Security Concepts

ATS Optimization Keywords

Hard Skills

• Prompt Injection
• Jailbreak Scenarios
• Data Exfiltration
• ML Pipeline Security
• API Security
• LLM Guardrails
• RAG Security Controls
• Incident Response
• Threat Exploitation
• DevSecOps Workflows

Industry Keywords

• Cybersecurity
• Application Security
• Cloud Environments
• AI Workload Detection
• Monitoring Use Cases

Tools & Technologies

• Azure
• AWS