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Director, AI Security Automation Engineering :: Bethesda, MD (Remote)

Key Facts

Remote From: 
Full time
Expert & Leadership (>10 years)
English

Other Skills

  • •
    Communication

Roles & Responsibilities

  • Master's or Ph.D. in Computer Science, Cybersecurity, Information Systems, or related field.
  • 10 years in complex data models or system architectures and 2 years in cybersecurity or security risk management.
  • Proven experience in applying AI/ML for security and compliance automation at scale.
  • Strong track record of transforming manual processes into automated, metrics-driven operations.

Requirements:

  • Develop templates for AI deployment patterns and automate control checklists.
  • Define complexity models and manage operational dashboards to track review metrics.
  • Implement AI-powered assessment tools and automate intake and triage pipelines.
  • Build a queryable security pattern graph for comprehensive risk analysis.

Job description

Director, AI Security Automation Engineering

Location: Remote, Bethesda, MD

Contract Duration: 12 Months

Position Overview:

The Director will lead efforts to standardize and automate security reviews for AI systems. This role bridges security governance, engineering, and operations to create efficient, AI-assisted review processes. The ideal candidate will have a strong background in security risk assessment, AI/ML automation, and knowledge representation.

Key Responsibilities:

  • Security Review Process Standardization: Develop templates for AI deployment patterns and automate control checklists.
  • Throughput Engineering: Define complexity models and manage operational dashboards to track review metrics.
  • AI-Assisted Assessment Automation: Implement AI-powered assessment tools and automate intake and triage pipelines.
  • Pattern Graph and Knowledge Architecture: Build a queryable security pattern graph for comprehensive risk analysis.
  • Control Mapping and Evidence Pipelines: Develop pipelines to connect review findings with compliance reporting.
  • Governance Pipeline Optimization: Optimize the security review pipeline with AI-specific criteria and ensure EU AI Act compliance.
  • Cross-Functional Coordination: Collaborate with engineering and risk teams to enhance review processes.

Qualifications:

  • Education: Master's or Ph.D. in Computer Science, Cybersecurity, Information Systems, or related field.
  • Experience: 10 years in complex data models or system architectures and 2 years in cybersecurity or security risk management.
  • Proven experience in applying AI/ML for security and compliance automation at scale.
  • Strong track record of transforming manual processes into automated, metrics-driven operations.
  • Experience with knowledge graph architectures and graph-based reasoning in compliance and security domains.
  • Strong communication skills to engage with senior executives and cross-functional teams.

Technical Skills:

  • Deep understanding of AI system architectures and multi-agent orchestration patterns.
  • Experience with graph databases and knowledge representation tools like Neo4j and GraphML.
  • Proficiency in Go and Python for building automation tools and data pipelines.
  • Experience with AI/ML frameworks and security automation tools.
  • Familiarity with security review frameworks and controls such as NIST AI RMF and ISO 42001.
  • Experience with workflow platforms like ServiceNow or Jira for process automation.
  • Knowledge of secure DevOps/MLOps pipelines and security protocols.

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