Senior Security Engineer

• 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 sample evidence.

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