Director, AI Security & Proactive Defense

Mobility Global

Centreville (VA)

On-site

USD 180,000 - 280,000

Full time

14 days+

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Job summary

Mobility is seeking a forward‑leaning leader to drive AI-focused cyber resilience capabilities, securing AI systems and enabling AI-driven security innovation. You will operationalize AI security across model lifecycles, lead red teaming, AISPM, and continuous validation programs, and partner with engineering and GRC teams to embed security into AI/ML pipelines.

You will shape enterprise AI security strategy, drive adoption of AI in threat detection and automation, and report progress to senior

Qualifications

15+ years in cybersecurity with AI/ML exposure.
Hands-on experience with offensive security, red teaming, or advanced testing.
Strong understanding of AI/ML concepts and associated security risks.
Experience across security engineering, defense, and risk functions.
Demonstrated ability to innovate and challenge traditional security models.
Preferred: experience with AI red teaming or AI model security.
Preferred: familiarity with MLOps pipelines and AI system architecture.
Preferred: experience with cloud AI platforms.

Responsibilities

Own execution of cyber resilience initiatives aligned to defined strategy.
Design and champion a Continuous Threat Exposure Management strategy that integrates offensive security insights into enterprise risk management.
Define and own the enterprise AI security strategy, aligning with organizational security philosophy, risk appetite, and business objectives.
Partner with leaders across Cyber Defense, Architecture and Engineering, Identity and Access Management, and Governance, Risk and Compliance to transform operations through AI and offensive security insights.
Track performance metrics and effectiveness of AI security and testing programs.
Coordinate internal teams and external vendors to deliver outcomes.
Provide actionable insights and reporting to senior leadership.
Lead execution of AI security controls across model lifecycle (development, deployment, monitoring).
Perform AI red teaming to identify vulnerabilities such as prompt injection, model inversion, and adversarial inputs.
Implement and operate AISPM capabilities.
Support governance of AI models, including model inventory, access controls, and usage monitoring.
Partner with engineering and data science teams to embed security controls into MLOps pipelines.
Validate security of cloud AI platforms (e.g., AWS Bedrock, GCP Vertex AI) and internal AI systems.
Drive adoption of AI capabilities to enhance threat detection, response, and automation.
Prototype and deploy AI/ML use cases across cyber defense, GRC, and offensive security.
Partner to drive adoption of AI and ML capabilities across GRC, Cyber Defense, IAM, Architecture and Engineering, and Offensive Security.
Evaluate and operationalize AI-powered security tools and platforms.
Develop internal AI literacy and capability uplift programs for security teams to responsibly and effectively leverage AI technologies.
Collaborate with internal teams to embed AI into security workflows and decision-making processes.
Challenge conventional security models and introduce innovative, automation-driven approaches.
Execute red and purple team exercises simulating advanced adversary behaviors.
Conduct adversary emulation campaigns aligned to business-critical assets.
Integrate offensive testing results into control improvements and detection engineering.
Operate breach and attack simulation tools to continuously validate controls.
Support risk-based vulnerability management with a focus on exploitability and business impact.
Continuously assess attack surface, including AI systems and shadow AI usage.
Translate testing results into measurable risk reduction actions.