Systemsltd Hiring: Senior AI Security Engineer (Remote)

Systemsltd; Pakistan; Remoto; PKR 1.200.000 - 1.800.000; Tempo pieno

Descrizione del lavoro

Systemsltd is seeking a Senior AI Security Engineer to strengthen the security of AI-powered applications, LLMs, and enterprise AI platforms.

The role requires deep cybersecurity expertise with hands-on AI security, threat modeling, and risk assessment for AI-driven systems. Remote work arrangement is available, with emphasis on secure architecture and SDLC integration.

Competenze

• Experience in cybersecurity, application security, and secure software architecture.
• Strong background in AI/LLM security, threat modeling, and risk assessment.
• Hands-on knowledge of LLMs, RAG, embeddings, and vector databases.
• Familiarity with MCP architecture, AI gateways, and tool integrations.
• Experience with cloud security (Azure/AWS/GCP) and IAM.

Mansioni

• Conduct security assessments and threat modeling for LLM apps and enterprise AI platforms.
• Identify and mitigate AI-specific risks including prompt injection and data leakage.
• Assess MCP architecture, AI integrations, and tool connectivity.
• Design security controls: authentication, authorization, RBAC, Zero Trust.
• Assess AI infrastructure: vector databases, embeddings, model APIs, and cloud services.
• Integrate security into SDLC: architecture reviews, code reviews, security testing, and CI/CD.
• Establish security monitoring, logging, governance, and incident detection.
• Perform AI security assessments, adversarial testing, and red teaming.

Conoscenze

Cybersecurity

Application security

Secure software architecture

AI/LLM security

Threat modeling

Prompt injection awareness

RAG / AI agents security

MCP architecture

Cloud security

RBAC / Zero Trust

OWASP ATLAS / MITRE ATLAS

Strumenti

Azure security

AWS security

GCP security

IAM

Secrets management

Network security

Descrizione del lavoro

We’re Hiring: *Senior AI Security Engineer (Remote)*

We’re looking for an experienced Senior AI Security Engineer to strengthen the security of AI-powered applications, LLMs, AI agents, RAG architectures, and enterprise AI platforms.

The ideal candidate will have a strong background in cybersecurity, application security, and secure architecture, with particular expertise in AI security, threat modeling, and risk assessment for AI-driven systems.

Key Responsibilities:

• Conduct security assessments and threat modeling for LLM applications, AI agents, RAG pipelines, and enterprise AI platforms.
• Identify and mitigate AI-specific risks, including prompt injection, jailbreaks, data leakage, excessive agency, and insecure tool execution.
• Assess MCP (Model Context Protocol), AI integrations, orchestration layers, and external tool connectivity.
• Design security controls covering authentication, authorization, RBAC, Zero Trust, and least-privilege access.
• Assess AI infrastructure, including vector databases, embeddings, model APIs, and cloud-hosted AI services.
• Integrate security into the SDLC through architecture reviews, code reviews, security testing, and CI/CD.
• Establish security monitoring, logging, governance, and incident detection mechanisms.
• Perform AI security assessments, adversarial testing, and LLM red teaming.

What You’ll Bring:

• Strong experience in cybersecurity, application security, and secure software architecture.
• Solid understanding of AI/LLM security and threat modeling, including attack surfaces, trust boundaries, and risk assessment.
• Hands‑on knowledge of LLMs, RAG, embeddings, vector databases, AI agents, and agentic workflows.
• Understanding of prompt injection, jailbreaks, indirect prompt injection, data leakage, and insecure tool calling.
• Knowledge of MCP architecture, AI gateways, tool integrations, and agent security.
• Experience with Azure, AWS, or GCP security, including IAM, secrets management, and network security.
• Strong understanding of authentication, authorization, Zero Trust, RBAC, and least privilege.
• Familiarity with SAST, DAST, SCA, CI/CD security, OWASP Top 10 for LLM Applications, and MITRE ATLAS.

Preferred Qualifications:

• Experience in AI security assessments, LLM red teaming, and adversarial testing.
• Relevant certifications such as OSCP, OSAI, CISSP, CEH, or equivalent.

Location / Work Arrangement: *Remote* – Pakistan (Candidates based in Pakistan only).

Working Hours: UK Time Zone.

If you have the expertise and passion for securing the next generation of AI technologies, we would love to hear from you!