{"id":3942019,"url":"https://alion.io/job/abm-industries-director-ai-security-enablement","title":"Director, AI Security Enablement","company":{"id":6848,"name":"ABM Industries","domain":"abm.com","url":"https://alion.io/company/abm-industries","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":94,"open_postings":95,"ghost_share":0,"stale_share":0.411,"repost_share":0.042,"time_to_fill_p50_days":21,"computed_at":"2026-11-14T05:58:10Z"}},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Atlanta, United States","Sugar Land, United States","New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"EU AI Act","optional":false},{"name":"GCP","optional":false},{"name":"GDPR","optional":false},{"name":"HIPAA","optional":false},{"name":"ISO 42001","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"NIST AI RMF","optional":false},{"name":"OpenAI","optional":false},{"name":"OWASP","optional":false},{"name":"RAG","optional":false},{"name":"Red Teaming","optional":false},{"name":"Threat Modeling","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-11-02T20:42:48Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-14T23:12:05Z","board_verified":true,"closed_at":null,"days_open":12,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":12},"description":"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.\nReporting 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.\nThe 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.\nThe 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.\nThis 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.\nBenefits: ABM offers a comprehensive benefits package. For information about ABM’s benefits, visit ABM Employee Benefits | Staff & Management\nPay: $176,505 - $260,000\nThe 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.\nHybrid Model: This leadership position is hybrid Monday-Thursday. The role may require occasional travel based on business needs.\n Key Responsibilities\nDefine and execute the enterprise AI security strategy, roadmap, and governance framework.\nEstablish policies, standards, and risk management practices for AI technologies.\nEmbed security-by-design principles across the AI lifecycle.\nLead AI threat modeling, security assessments, red teaming, and risk evaluations.\nBuild and develop a high-performing AI Security team.\nProvide executive-level reporting on AI security posture, risks, and program maturity.\nPartner with business and technology leaders to accelerate secure AI adoption.\nOversee AI-related incident response, investigations, and remediation efforts.\nDrive continuous improvement through metrics, industry benchmarking, and emerging threat monitoring.\nWhat You'll Bring\nAI Security Expertise\nDeep 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.\nHands-on experience evaluating and securing AI systems, including prompt injection defenses, jailbreak testing, data leakage prevention, and secure Retrieval-Augmented Generation (RAG) implementations.\nKnowledge of AI/ML security controls, governance practices, and security tooling used to monitor, assess, and protect AI environments. \nCloud & Technology Platforms\nExperience securing AI solutions deployed on major cloud platforms, including AWS, Microsoft Azure, and Google Cloud.\nFamiliarity with cloud-native AI services such as Bedrock, SageMaker, Azure OpenAI Service, and Vertex AI, including associated security controls.\nExecutive Communication & Influence\nAbility to translate complex AI security risks into practical business recommendations for technical teams, business leaders, and executive stakeholders.\nExceptional communication, stakeholder management, and cross-functional leadership skills.\nRequired Qualifications\nBachelor's degree in Cybersecurity, Computer Science, Information Systems, Data Science, Information Technology, or a related field.\n12+ years of progressive cybersecurity experience.\n5+ years of experience leading and developing technical security teams.\n3+ years leading AI security, AI governance, generative AI, or related cybersecurity programs.\nGovernance, Risk & ComplianceWorking knowledge of leading AI security and governance frameworks, such as NIST AI RMF, OWASP LLM Security Guidance, MITRE ATLAS, ISO 42001, or similar standards.\nUnderstanding of AI-related regulatory, privacy, and compliance requirements, including GDPR, CCPA, EU AI Act, HIPAA, or comparable frameworks. \n\nPreferred Qualifications\nMaster's degree in Cybersecurity, Computer Science, Information Systems, Data Science, or related field.\nCISSP, CISM, CCSP, CDPSE, AI Governance Professional (AIGP), or equivalent AI Security/Governance certifications.\nABM is Equal Opportunity Employer.\nABM 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