AI Security Engineer

Systems Limited; India; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Systems Limited is seeking an AI security specialist to design and implement protective controls for AI systems, LLMs and autonomous agents. You will model threats, define identity and access controls, and run adversarial tests to uncover vulnerabilities.

You will partner with AI Governance and Platform teams to strengthen the security posture and ensure prompt detection and mitigation of AI-specific risks, while mentoring delivery teams on best practices.

Qualifications

• 5+ years in cybersecurity/AppSec with AI/LLM focus
• Strong knowledge of AI security threats: prompt injection, jailbreaks, data exfiltration
• Solid IAM, network security, secure SDLC, and app security basics
• Experience with AI/LLM security testing and adversarial tooling

Responsibilities

• Design AI security architecture and threat modeling for AI systems.
• Defend against prompt injection, jailbreaks, and agent tool abuse.
• Define AI identity, authentication, authorization, and access controls.
• Conduct AI security testing and red-team exercises.
• Perform AI privacy reviews of prompts, outputs, and logs.
• Collaborate with AI Governance and Platform Engineering to improve security posture.
• Communicate AI risks to security leadership.
• Identify and remediate AI threats and vulnerabilities.
• Train delivery teams on AI security best practices.

Skills

AI/LLM security

Threat modeling

IAM security

Adversarial testing

Stakeholder comms

Tools

Azure Prompt Shields

AWS Bedrock Guardrails

Vertex AI safety

NeMo Guardrails

Rebuff

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.
• Strong communication and stakeholder-management skills.
• Ability to stay updated on emerging AI security threats and vulnerabilities.