Security Engineer

World Wide Technology; Hong Kong; On-site; HKD 720,000 - 1,200,000; Full time

Job summary

World Wide Technology seeks professional security engineering resources to design, implement, and operationalize an enterprise-scale AI Agent Security capability across endpoints, data-centers, cloud, and container environments. The role covers discovery, visibility, segmentation, protection, monitoring, governance, and operational integration for AI agents.

You will document discovery methodology, establish telemetry baselines, design workload segmentation, and develop threat detection content

Qualifications

• AI security and AI-agent behaviour understanding.
• Enterprise security engineering requirements across cloud, container, and network security.
• SOC processes and detection engineering for enterprise scale.
• Secure engineering, secrets handling, change management.
• Data protection, vulnerability management, access control, incident response.
• Cloud, container, and network security expertise across environments.

Responsibilities

• Identify suspicious model, tool, identity, data, and external-service interactions.
• Build SOC use cases, triage guidance, escalation criteria, and response procedures.
• Provide alert tuning, quality measurement, and false-positive reduction.
• Develop AI-specific threat detection content mapped to documented risks.
• Implement AI security controls and integrations.
• Build segmentation policies and detection content.
• Conduct testing, validation, and operational onboarding.
• Produce documentation and support SOC integration.

Skills

AI security

AI-agent behavior understanding

Enterprise security engineering

Cloud security

Container security

SOC processes & detection engineering

Tools

SIEM platforms

Job description

• The organization is seeking professional security engineering resources to design, implement, operationalize, and support an enterprise-scale AI Agent Security capability across endpoint, data-center, cloud, and container environments.
• “Consultant shall provide professional security engineering resources to design, implement, operationalize, and support an enterprise-scale AI Agent Security capability…”
• The work includes discovery, visibility, segmentation, protection, monitoring, threat detection, governance, and operational integration for AI agents.

Key Responsibilities:

AI Agent Discovery & Inventory

• Discover, classify, and inventory AI agents, models, services, ownership,dependencies, and infrastructure.
• Document discovery methodology, coverage assumptions, prerequisites, and sampleevidence.

Monitoring & Runtime Visibility

• Collect telemetry from AI workloads and supporting infrastructure.
• Monitor process behavior, network activity, tool invocation, data access, and external communications.
• Establish behavioral baselines and generate actionable alerts.
• “Monitor process behavior, network activity, system interactions, tool invocation, data access, and external communications.”

Segmentation & Security Controls

• Design workload-, process-, and network-level segmentation for AI agent workloads.
• Implement policy-based enforcement using approved change-management processes.
• Restrict unauthorized communication paths and maintain exception documentation.
• Provide testing, rollback, validation, and recovery procedures.

AI Threat Detection Engineering

• Develop AI-specific threat detection content mapped to documented risks.
• Detect anomalous AI behavior patterns and unauthorized actions.

Job Description

• Identify suspicious model, tool, identity, data, and external-service interactions.
• Build SOC use cases, triage guidance, escalation criteria, and response procedures.
• Provide alert tuning, quality measurement, and false-positive reduction.

Security Operations Integration

• Integrate telemetry and alerts with SIEM platforms.
• Integrate with incident-management workflows, identity services, and telemetry pipelines.
• Support SOC onboarding, testing, and operational acceptance.

Documentation & Knowledge Transfer

• Produce architecture, configuration, runbooks, admin guides, and governance documentation.
• Deliver role-based knowledge-transfer workshops.
• Provide final transition reports covering risks, backlog, ownership, and readiness.
• “Implementation, integrations, segmentation, detection engineering, testing, documentation, and operational onboarding.”

Responsibilities

• Implement AI security controls and integrations.
• Build segmentation policies and detection content.
• Conduct testing, validation, and operational onboarding.
• Produce documentation and support SOC integration.

Required Skills & Experience

• AI security and AI-agent behaviour understanding
• Enterprise security engineering
• Cloud, container, and network security
• SOC processes and detection engineering
• Secure engineering, secrets handling, change management.
• Data protection, vulnerability management, access control, incident response