Director, AI Security Enablement

ABM (NYSE: ABM) is a leading provider of facility solutions with revenues of approximately $8.7 billion and over 130,000 employees in 300+ offices deployed throughout the United States and various international locations. ABM’s comprehensive capabilities include electrical & lighting, energy solutions, facilities engineering, HVAC & mechanical, janitorial, landscape & turf, mission critical solutions and parking, provided through stand-alone or integrated solutions.

Reporting directly to the SVP & CISO, the Director, AI Security Enablement will build and lead ABM's enterprise AI security strategy to include imbedding security into artificial intelligence, machine learning, and agentic AI across the business, spanning ABM’s AI security tooling, internal AI/ML development, and third-party AI products and vendors. This leader designs and champions the guardrails, governance, and technical controls that allow ABM to adopt AI and agentic AI capabilities quickly and confidently, while protecting the business, its customers, and its employees from the emerging risks these technologies introduce.

The role carries direct people-leadership responsibility, building and developing a team of approximately three AI/ML security specialists, and also requires strong matrix-management skills to coordinate and drive security outcomes through engineers, developers, data scientists, and vendor teams who do not report directly to this role. Highly organized program and stakeholder management is essential: this leader will run multiple concurrent security-enablement initiatives across internal development teams and third-party AI vendors, track them to completion, and communicate progress clearly to technical teams, business stakeholders and executive leadership.

The Director, AI Security Enablement must have hands-on depth in both traditional cybersecurity and modern AI security - including large language models (LLMs), generative AI, and agentic AI architectures where autonomous or semi-autonomous agents take actions, call tools, and access systems and data on behalf of users or other systems.

This role will establish cross-functional partnerships across Security, Engineering, Data Science & AI/ML teams, Legal, Risk, Privacy, and Operations to enable innovation while protecting the organization from emerging AI risks.

Benefits: ABM offers a comprehensive benefits package. For information about ABM’s benefits, visit ABM Employee Benefits | Staff & Management

Pay: $176,505 - $260,000

The pay listed is the salary range for this position. Any specific offer will vary based on the successful applicant’s education, experience, skills, abilities, geographic location, and alignment with market data. You will also be eligible to participate in a company incentive or bonus program.

Hybrid Model: This leadership position is hybrid Monday-Thursday. The role may require occasional travel based on business needs.

Key Responsibilities

• Define and execute the enterprise AI security strategy, roadmap, and governance framework.
• Establish policies, standards, and risk management practices for AI technologies.
• Embed security-by-design principles 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, industry benchmarking, and emerging threat monitoring.

What You'll Bring

AI Security Expertise

• Deep understanding of AI and generative AI security concepts, including large language models (LLMs), agentic AI, autonomous agents, multi-agent systems, and tool/function-calling architectures.
• Hands-on experience evaluating and securing AI systems, including prompt injection defenses, jailbreak testing, data leakage prevention, and secure Retrieval-Augmented Generation (RAG) implementations.
• Knowledge of AI/ML security controls, governance practices, and security tooling used to monitor, assess, and protect AI environments.

Cloud & Technology Platforms

• Experience securing AI solutions deployed on major cloud platforms, including AWS, Microsoft Azure, and Google Cloud.
• Familiarity with cloud-native AI services such as Bedrock, SageMaker, Azure OpenAI Service, and Vertex AI, including associated security controls.

Executive Communication & Influence

• Ability to translate complex AI security risks into practical business recommendations for technical teams, business leaders, and executive stakeholders.
• Exceptional communication, stakeholder management, and cross-functional leadership skills.

Required Qualifications

• Bachelor's degree 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.
• Governance, Risk & Compliance
  • Working knowledge of leading AI security and governance frameworks, such as NIST AI RMF, OWASP LLM Security Guidance, MITRE ATLAS, ISO 42001, or similar standards.
  • Understanding of AI-related regulatory, privacy, and compliance requirements, including GDPR, CCPA, EU AI Act, HIPAA, or comparable frameworks.

Preferred Qualifications

• Master's degree in Cybersecurity, Computer Science, Information Systems, Data Science, or related field.
• CISSP, CISM, CCSP, CDPSE, AI Governance Professional (AIGP), or equivalent AI Security/Governance certifications.

ABM is Equal Opportunity Employer.

ABM is committed to diversity and inclusion and encourages individuals from all backgrounds to apply.