Director, AI Security Enablement

ABM•Dunwoody, GA

1d•Hybrid

About The Position

The Director, AI Security Enablement will build and lead ABM’s enterprise AI security strategy, embedding security into artificial intelligence, machine learning, and agentic AI across the business. The scope includes AI security tooling, internal AI/ML development, and third-party AI products and vendors. The director will establish the guardrails, governance, and technical controls that enable secure adoption of AI while protecting the business, its customers, and employees. This role has direct people-leadership responsibility for building and developing a team of approximately three AI/ML security specialists. It also requires matrix leadership to coordinate security outcomes with engineers, developers, data scientists, and vendor teams. The director will manage concurrent security-enablement initiatives, track them through completion, and communicate progress to technical teams, business stakeholders, and executive leadership. The role requires hands-on expertise in traditional cybersecurity and modern AI security, including LLMs, generative AI, and agentic AI architectures. The director will establish cross-functional partnerships across Security, Engineering, Data Science and AI/ML, Legal, Risk, Privacy, and Operations. The position reports directly to the SVP & CISO and follows a hybrid Monday–Thursday model, with occasional travel based on business needs.

Requirements

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.
Deep understanding of AI and generative AI security, including 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.
Experience securing AI solutions deployed on AWS, Microsoft Azure, and Google Cloud.
Familiarity with cloud-native AI services including Bedrock, SageMaker, Azure OpenAI Service, and Vertex AI, and their associated security controls.
Working knowledge of 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.
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.
Hands-on depth in traditional cybersecurity and modern AI security.
Strong program and stakeholder-management skills, including managing concurrent initiatives and communicating progress clearly.

Nice To Haves

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

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.
Manage concurrent security-enablement initiatives across internal development teams and third-party AI vendors, tracking them to completion and communicating progress.
Establish cross-functional partnerships across Security, Engineering, Data Science and AI/ML, Legal, Risk, Privacy, and Operations.
Coordinate security outcomes through engineers, developers, data scientists, and vendor teams that do not report directly to the role.