AI Security Engineer

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

Job summary

Systems Limited is seeking a security-focused engineer to design and implement AI security controls for LLMs and autonomous agents, protecting against prompt injection, jailbreaks, and data exfiltration. You will define AI identity, access controls, and governance partnerships.

You will conduct threat modeling, red-team exercises, and AI privacy reviews, collaborating with AI Governance and Platform Engineering to strengthen the security posture and communicate risks to leadership.

Qualifications

• 5+ years in cybersecurity/AppSec with AI/LLM focus.
• Experience with AI/LLM security threats (prompt injection, jailbreaks, data exfiltration).
• Strong understanding of AI privacy and risk management.
• Experience with AI security testing and adversarial testing tools.
• Familiarity with cloud AI security controls (Azure, AWS, Google).

Responsibilities

• Design AI security architecture and conduct AI-specific threat modeling.
• Implement defenses against prompt injection, jailbreaks, and agent 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 PII, prompts, outputs, and logs.
• Partner with AI Governance and Platform Engineering to strengthen security posture.
• Communicate AI-specific risks and vulnerabilities to security leadership.
• Identify and remediate vulnerabilities and emerging AI threats.
• Train delivery teams on AI security best practices and threat patterns.

Skills

AI security knowledge

Threat modeling

IAM & network security

Adversarial testing

Communication & stakeholder mgmt

Tools

Azure AI Foundry Prompt Shields

AWS Bedrock Guardrails

Vertex AI safety controls

NeMo Guardrails

Job description

Design and implement security controls for AI systems, LLMs, and autonomous agents, protecting them against emerging threats such as prompt injection, jailbreaks, tool abuse, and data exfiltration. The role combines traditional cybersecurity with specialized AI/LLM security practices.

Responsibilities:

• Design AI security architecture and conduct AI-specific threat modeling.
• Implement defenses against prompt injection, jailbreaks, and agent 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 PII, prompts, outputs, and logs.
• Partner with AI Governance and Platform Engineering to strengthen security posture.
• Communicate AI-specific risks and vulnerabilities to security leadership.
• Identify and remediate vulnerabilities and emerging AI threats.
• Train delivery teams on AI security best practices and threat patterns.

Qualifications:

• 5+ years of cybersecurity/AppSec experience, including 2+ years in AI/LLM/Agent Security.
• Strong knowledge of LLM and agent security threats, including prompt injection, jailbreaking, and data exfiltration.
• Strong foundation in IAM, network security, secure SDLC, and application security.
• Experience with AI/LLM security testing and adversarial testing tools.
• Familiarity with Azure AI Foundry Prompt Shields/content filtering, AWS Bedrock Guardrails, and Google Vertex AI safety controls.
• Knowledge of open-source AI security tools such as NeMo Guardrails and Rebuff is a plus.
• Strong understanding of AI privacy, data protection, and security risk management.
• Experience conducting AI red-team exercises.
• Strong communication and stakeholder-management skills.
• Ability to stay updated on emerging AI security threats and vulnerabilities.