AI Security Engineer

About the Role

Systems Limited is seeking an experienced AI Security Engineer to join their team in Riyadh, Saudi Arabia. This full-time role focuses on securing AI-powered applications, Large Language Models (LLMs), AI agents, RAG pipelines, prompt workflows, and enterprise AI platforms. The ideal candidate will specialize in identifying and mitigating AI-specific security risks to ensure the responsible and compliant use of AI-based systems.

Role Context and Focus

The AI Security Engineer will work collaboratively with AI engineering, platform, cloud, and security teams. This position is critical for designing secure AI solutions, defining governance controls, and addressing threats such as prompt injection, jailbreaks, data leakage, insecure tool usage, unsafe model outputs, and misuse of AI systems. The role requires 5-10 years of relevant experience.

Key Responsibilities

• Design and implement security controls for AI applications, LLM integrations, AI agents, and RAG-based systems.
• Identify and mitigate AI-specific threats including prompt injection, jailbreaks, data exfiltration, model misuse, hallucination risks, and insecure tool/function calling.
• Secure prompt workflows, system prompts, agent instructions, retrieval pipelines, and AI orchestration layers.
• Assess risks in LLM APIs, vector databases, embeddings, knowledge bases, and external tool integrations.
• Ensure secure handling of sensitive data across AI applications, including user inputs, retrieved context, prompts, and model outputs.
• Conduct threat modeling for AI-based solutions, AI agents, and enterprise AI assistants.
• Define and enforce AI security governance, responsible AI controls, and compliance best practices.
• Perform security assessments, red teaming, and audits of AI systems.
• Monitor emerging AI-related security threats and recommend proactive mitigation strategies.
• Collaborate with engineering teams to secure AI APIs, cloud deployments, access controls, and production AI platforms.

Required Qualifications and Experience

• Hands-on understanding of AI applications, LLMs, RAG, embeddings, vector search, prompt engineering, and AI agents.
• Experience identifying and mitigating LLM security risks such as prompt injection, jailbreaks, data leakage, and insecure output handling.
• Understanding of secure AI application architecture, including authentication, authorization, logging, monitoring, and data protection.
• Knowledge of cloud platforms such as Azure, AWS, or GCP, especially AI services and API-based deployments.
• Familiarity with security tooling such as SAST, DAST, SIEM, vulnerability scanning, and security monitoring.
• Understanding of data privacy, compliance, and responsible AI practices.
• Experience with AI security frameworks, AI risk management, or responsible AI governance.
• Exposure to LLM red teaming, AI guardrails, content safety, prompt filtering, and output validation.
• Experience securing RAG pipelines, AI agents, tool-calling systems, and enterprise chatbot platforms.
• Knowledge of OWASP Top 10 for LLM Applications or similar AI security guidance.
• Relevant certifications such as CISSP, CEH, Security+, or cloud security certifications.
• Experience in telecom, fintech, enterprise, or regulated environments.

Skills and Attributes

• Strong problem-solving and analytical thinking abilities.
• Ability to work cross-functionally with AI, security, cloud, and product teams.
• Proactive mindset for identifying AI security risks before production impact.
• Effective communication skills to explain risks and mitigation plans to technical and non-technical stakeholders.

Work Environment

This is a full-time position based in Riyadh, Saudi Arabia, requiring collaboration across various technical teams to integrate security best practices into AI development and deployment lifecycles.