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

Director, AI Security Automation EngineeringLocation: Remote, Bethesda, MDContract Duration: 12 MonthsPosition 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.