Lead AI Security Engineer

World Wide Technology; Hong Kong; On-site; HKD 600,000 - 900,000; Full time

Job summary

World Wide Technology is seeking professional security engineering resources to design, implement, operationalize, and support an enterprise-scale AI Agent Security capability across endpoint, datacenter, cloud, and container environments.

The work includes discovery, visibility, segmentation, protection, monitoring, governance, and integration for AI agents, with responsibilities spanning architecture leadership, governance, escalation, and quality assurance.

Qualifications

• AI security and AI-agent behavior understanding
• Enterprise security engineering across cloud, data center, and endpoints
• Design, implement, and operationalize security controls
• Strong governance, threat detection, and incident response capabilities

Responsibilities

• Lead architecture and design for AI Agent Security program
• Develop SOC use cases, triage guidance, and response procedures
• Integrate telemetry with SIEM platforms and incident workflows
• Provide documentation, runbooks, and knowledge-transfer sessions

Skills

AI security

Security engineering

Cloud security

Container security

SOC processes

Threat detection

Governance

Incident response

Data protection

Change management

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, datacenter, 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 sample evidence.

Monitoring & Runtime Visibility

• Collect telemetry from AI workloads and supporting infrastructure.
• Monitor process behaviour, network activity, tool invocation, data access, and external communications.
• Establish behavioural baselines and generate actionable alerts.

“Monitor process behaviour, 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 behaviour patterns and unauthorized actions.

General 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.

“Architecture leadership, technical governance, stakeholder engagement, design authority, escalation, and quality assurance.”

Responsibilities

• Lead architecture and design for AI Agent Security.
• Drive governance, stakeholder engagement, and technical decision-making.
• Ensure quality and compliance across all deliverables.
• Act as primary technical escalation point.

Required Skills & Experience

• AI security and AI-agent behavior 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