Crowdstrike AI Security Architect

Company

• Our client is an established advanced technology organization with deep expertise in AI, cybersecurity, data, and engineering, supporting complex, mission-critical environments. The organization is investing heavily in AI-native cyber defense and advanced security capabilities for enterprise customers.

Job Title

• CrowdStrike RAiDAR Resource / AI Security Architect

Location

• Remote in the US; likely supporting CST or EST business hours

Role Type

• Contract, 8–10 weeks

Must Have Skills:

• Senior AI security architecture and strategy experience, including defining enterprise AI security operating models, architectures, processes, and roadmaps
• Strong security automation and detection/response strategy expertise, including AI-driven security use cases, behavioral monitoring, anomaly detection, and preventative response
• Deep CrowdStrike expertise, with the ability to assess its role as a central orchestration point across endpoint, identity, cloud, network/traffic, and AI/agent behavior telemetry
• Experience designing governance and guardrails for automated security response, including determining appropriate levels of automation versus human approval
• Enterprise security integration and orchestration experience, including defining telemetry requirements, identifying integration gaps, establishing success metrics, and developing an MVP-to-long-term roadmap

Responsibilities and Job Details:

• Serve as a strategic AI security architect focused on developing our client's Rapid AI Detection and Response (RAiDAR) operating model
• Define and prioritize high-value AI-driven security use cases for an initial MVP and longer-term RAiDAR strategy
• Establish architectural requirements across program scope, inventory and identity, telemetry integration, detection strategy, automated response, validation, and metrics
• Assess how CrowdStrike can serve as a central orchestration point across the broader enterprise security ecosystem
• Define requirements and architectural considerations for integrating security telemetry and controls across endpoint, identity, cloud, network/traffic, and AI/agent environments
• Evaluate existing security orchestration capabilities and identify key integration and capability gaps
• Develop a detection engineering strategy incorporating behavioral monitoring, anomaly detection, and AI-driven response opportunities
• Design guardrails and governance for automated response, defining which security actions can be safely automated and which require human approval
• Establish measurable success criteria around MTTD, MTTR, containment, operational adoption, and overall security effectiveness
• Develop a practical roadmap that connects the initial MVP with the client's longer-term enterprise RAiDAR strategy
• Operate primarily at the strategy and architecture layer, partnering with established engineering teams responsible for technical implementation
• Guardian AIDR experience is a plus but not a primary requirement