Director, AI Security Enablement
abm industriesBrooklyn (NY)
Director, AI Security Enablement
Posted today
abm industriesBrooklyn (NY)
SENIORITY
Manager
About the role
Overview:
In this role you will lead ABM’s enterprise AI security strategy, embedding security across AI, ML, and agentic AI initiatives. You will build and guide a small team and coordinate with engineers, data scientists, and vendors to enable secure AI adoption. You’ll establish governance, guardrails, and technical controls to balance innovation with risk management. This position offers visibility to executive leadership and the chance to shape security practices across multiple business units. Compensation / Benefits comprehensive benefits package eligibility for company incentive or bonus program hybrid work model (Monday-Thursday) opportunity for travel based on business needs
Responsibilities:
Define and execute the enterprise AI security strategy, roadmap, and governance framework Set policies, standards, and risk practices for AI technologies Embed security-by-design across the AI lifecycle Lead AI threat modeling, security assessments, red teaming, and risk evaluations Build and develop a high-performing AI Security team Provide executive-level reporting on AI security posture, risks, and program maturity Partner with business and technology leaders to accelerate secure AI adoption Oversee AI-related incident response, investigations, and remediation efforts Drive continuous improvement through metrics, benchmarking, and threat monitoring
Key requirements:
Bachelor in Cybersecurity, Computer Science, Information Systems, Data Science, Information Technology, or a related field 12+ years of progressive cybersecurity experience 5+ years of experience leading and developing technical security teams 3+ years leading AI security, AI governance, generative AI, or related cybersecurity programs Knowledge of AI security and governance frameworks (e.g., NIST AI RMF, OWASP LLM Security Guidance, MITRE ATLAS, ISO 42001) Understanding of AI-related regulatory, privacy, and compliance requirements (GDPR, CCPA, EU AI Act, HIPAA) Exceptional communication and stakeholder management Cross-functional leadership across Security, Engineering, Data Science & AI/ML Executive-level influence and reporting skills Deep AI and generative AI security concepts (LLMs, agentic AI, autonomous agents, multi-agent systems) Prompt injection defenses, jailbreak testing, data leakage prevention, secure Retrieval-Augmented Generation (RAG) AI/ML security controls and governance practices
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