Enterprise AI Security Advisor

Job Description:

• Establish and own a companywide approach to securing AI agents, models, applications, and supporting infrastructure
• Maintain a prioritized view of AI security risk and set priorities for teams and partners
• Own the roadmap for AI security controls, tooling, and improvements; report measurable outcomes to leadership
• Advise senior leaders on emerging AI threats and security-productivity trade-offs
• Define security requirements and approved patterns for AI systems, including identity, permissions, data boundaries, approvals, kill switches, logging, monitoring, and incident response
• Publish reference architectures and acceptance criteria for AI applications, agents, and integrations
• Set control expectations for inference-time guardrails, AI gateways, and model and agent registries
• Integrate AI security requirements into architecture review, risk acceptance, and change management processes
• Assess internally built AI systems and third-party AI products
• Lead testing for prompt injection, sensitive-data exposure, excessive permissions, unsafe agent actions, jailbreaks, and misuse scenarios
• Define evidence required before controls move from monitoring to blocking
• Maintain threat models using OWASP Top 10 for LLM Applications and MITRE ATLAS
• Evaluate, select, and tune cloud, endpoint, identity, data protection, and AI-specific security tools
• Establish visibility into AI usage and agent activity across the enterprise
• Lead enterprise AI guardrail services, including detection content, policy tuning, telemetry, dashboards, and integrations with SIEM, SOAR, EDR, identity, and ticketing platforms
• Define detection, alerting, and incident response playbooks for AI-specific events
• Partner with AI application and agent teams to incorporate security into design, build, and deployment
• Collaborate with privacy, legal, compliance, quality, and AI governance functions
• Mentor engineers and security operations personnel
• Engage vendors, industry groups, and technology partners on emerging AI security capabilities
• At Sr. Advisor level, serve as enterprise authority on AI security, own multi-year strategy and investment case, represent Cybersecurity with executives, auditors, and external partners, and set technical direction

Requirements:

• Bachelor's degree in Computer Science, Cybersecurity, Information Systems, or a related IT technical field
• 10+ years of experience in cybersecurity, security architecture, or platform/software engineering, including technical leadership, architecture, or senior advisory experience
• Track record of setting technical direction at enterprise scale and influencing executive investment decisions
• Experience designing or leading security programs across multiple products, teams, or business units
• Strong understanding of cloud security, application security, identity and access management, data protection, and security operations
• Hands-on experience with AI applications, agents, model platforms, or supporting infrastructure, including LLM APIs, agent frameworks, or agent-to-tool integration protocols
• Understanding of LLM-specific threat models, including prompt injection, jailbreaks, sensitive data leakage, tool misuse, excessive agency, data poisoning, and model misuse
• Familiarity with OWASP Top 10 for LLM Applications and MITRE ATLAS
• Ability to evaluate security products against organizational risks
• Proficiency in Python or a comparable language
• Working knowledge of AWS or Azure, REST APIs, and infrastructure-as-code
• Ability to work across engineering, infrastructure, security, product, legal, and leadership teams
• Experience building or operating inference-time guardrails, AI gateways, DLP for AI traffic, or AI detection and response tooling at enterprise scale
• Experience with AI security reviews, adversarial red-teaming, or AI governance frameworks in regulated industries
• Experience securing GPU/HPC, model-training, or inference platforms and related data pipelines
• Familiarity with AI regulatory expectations, high-risk AI classifications, auditability requirements, and conformity assessments
• Experience with SIEM/SOAR, EDR, and identity platforms in detection engineering or security operations
• Relevant certifications such as CISSP, CCSP, or cloud security certifications
• Experience with Agile delivery in cross-functional teams

Benefits:

• Company bonus depending partly on company and individual performance
• Company-sponsored 401(k)
• Pension
• Vacation benefits
• Medical, dental, vision, and prescription drug benefits
• Flexible benefits, including healthcare and/or dependent day care flexible spending accounts
• Life insurance and death benefits
• Time off and leave of absence benefits
• Well-being benefits, including employee assistance program, fitness benefits, and employee clubs and activities