Senior Security Engineer

World Wide Technology; Hong Kong; On-site; HKD 700,000 - 1,100,000; Full time

Job summary

World Wide Technology seeks a professional security engineer to design, implement, and operate 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 collect telemetry, monitor AI workloads, establish baselines, and develop threat content mapped to risks.

Qualifications

• Understanding AI agent behavior and related security risks.
• Experience with enterprise security engineering practices.
• Knowledge of cloud, container, and network security concepts.
• Experience with SOC processes and detection engineering.
• Strong data protection, vulnerability management, and incident response.

Responsibilities

• Discover, classify, and inventory AI agents, models, services, ownership, dependencies, and infrastructure.
• 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.
• Design workload-, process-, and network-level segmentation for AI agent workloads.
• Implement policy-based enforcement using approved change-management processes.
• Develop AI-specific threat detection content mapped to documented risks.
• Detect anomalous AI behavior patterns and unauthorized actions.
• Integrate telemetry and alerts with SIEM platforms.
• Produce architecture, configuration, runbooks, admin guides, and governance documentation.

Skills

AI security

Enterprise security engineering

Cloud security

SOC processes

Secure engineering

Data protection

Tools

SIEM platforms

Cloud security tooling

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. The work includes discovery, visibility, segmentation, protection, monitoring, threat detection, governance, and operational integration for AI agents.

Key responsibilities

• Discover, classify, and inventory AI agents, models, services, ownership, dependencies, and infrastructure
• 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
• Design workload-, process-, and network-level segmentation for AI agent workloads
• Implement policy-based enforcement using approved change-management processes
• Develop AI-specific threat detection content mapped to documented risks
• Detect anomalous AI behavior patterns and unauthorized actions
• Integrate telemetry and alerts with SIEM platforms
• Produce architecture, configuration, runbooks, admin guides, and governance documentation

About you

• 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