AI Security Engineer: Threat Modeling & Defenses

Systems Limited; Islamabad; On-site; PKR 1,800,000 - 3,200,000; Full time

Job summary

Systems Limited is seeking an experienced AI security engineer to design and implement robust security controls for AI systems, LLMs, and autonomous agents. You will defend against prompt injection, jailbreaks, and data exfiltration, and drive risk-based security across identity, access controls, and governance.

The role requires hands-on AI security testing, red-team exercises, privacy reviews, and collaboration with AI Governance and Platform Engineering to raise the security posture.

Qualifications

• 5+ years in cybersecurity/AppSec with AI/LLM focus preferred.

Responsibilities

• Design AI security architecture and threat modeling for AI systems and agents.
• Implement defenses against prompt injection, jailbreaking, and tool abuse.
• Define AI identity, authentication, authorization, and access controls.
• Conduct AI security testing, adversarial testing, and red-team exercises.
• Perform AI privacy reviews covering prompts, outputs, and logs.
• Partner with AI Governance and Platform Engineering to strengthen security posture.
• Communicate AI-specific risks to security leadership.
• Identify and remediate vulnerabilities and emerging AI threats.
• Train delivery teams on AI security best practices and threat patterns.

Skills

AI/LLM security

Threat modeling

Adversarial testing

IAM & access control

Security testing

Communication

Stakeholder management

Security risk management

Cloud security

Tools

NeMo Guardrails

Rebuff

Azure AI Foundry Prompt Shields

AWS Bedrock Guardrails

Google Vertex AI safety controls

Job description

Systems Limited is seeking an experienced AI security engineer to design and implement robust security controls for AI systems, LLMs, and autonomous agents. You will defend against prompt injection, jailbreaks, and data exfiltration, and drive risk-based security across identity, access controls, and governance.

The role requires hands-on AI security testing, red-team exercises, privacy reviews, and collaboration with AI Governance and Platform Engineering to raise the security posture.