AI & Innovation Security Director
About The Position
The AI Security Enablement Director reports directly to the SVP & CISO and will build and lead ABM’s enterprise AI security strategy. The role embeds security across artificial intelligence, machine learning, and agentic AI throughout the business, including AI security tooling, internal AI/ML development, and third-party AI products and vendors. The director will design and champion the guardrails, governance, and technical controls that enable adoption of AI and agentic AI while protecting ABM, its customers, and employees from emerging risks. The role has direct people-leadership responsibility for building and developing a team of approximately three AI/ML security specialists. It also requires matrix leadership across engineers, developers, data scientists, and vendor teams, as well as program and stakeholder management for multiple concurrent security-enablement initiatives. The director will coordinate initiatives through completion and communicate progress to technical teams, business stakeholders, and executive leadership. The position requires hands-on depth in traditional cybersecurity and modern AI security, including LLMs, generative AI, and agentic AI architectures in which autonomous or semi-autonomous agents take actions, call tools, and access systems and data. The director will establish partnerships across Security, Engineering, Data Science and AI/ML teams, Legal, Risk, Privacy, and Operations.
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 concepts, 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 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 such as Bedrock, SageMaker, Azure OpenAI Service, and Vertex AI, including 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.
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.
- Coordinate and drive security outcomes across engineers, developers, data scientists, and vendor teams that do not report directly to the role.
- Manage multiple concurrent security-enablement initiatives across internal development teams and third-party AI vendors, track them to completion, and communicate progress to technical teams, business stakeholders, and executive leadership.
- Establish cross-functional partnerships across Security, Engineering, Data Science and AI/ML teams, Legal, Risk, Privacy, and Operations.
Benefits
- Comprehensive benefits package.
- Eligibility to participate in a company incentive or bonus program.
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What This Job Offers
Job Type
Full-time
Career Level
Director
