Enterprise AI Security Advisor

Job not on LinkedIn

🔥 1 minute ago

🇺🇸 United States – Remote

💵 $129k - $253k / year

⏰ Full Time

🟠 Senior

🔴 Lead

👮‍♂️ Cybersecurity / Security Engineer

👻 Ghost score 0%

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Lilly-Lilly

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2007

🧘 Wellness

📚 Education

📱 Media

Wellness • Education • Media

Lilly-Lilly is the joint venture of Simon and Sue Lilly who travel worldwide to teach and run workshops in practices commonly called 'energy healing.' They have authored over thirty books on topics such as crystal healing, colour healing, essences, astrology, runes, and working with trees and tree spirits, and they respond to requests internationally to provide teaching.

📋 Description

• Establish and own Lilly's companywide approach to securing AI agents, models, applications, and supporting infrastructure • Maintain a prioritized view of AI security risks and set priorities for teams and partners • Own the roadmap for AI security controls, tooling, and improvements, and report measurable outcomes to leadership • Advise senior leaders on emerging AI threats, safety-productivity trade-offs, and investment priorities • Define security requirements and approved patterns for agent identity, permissions, data access, approvals, 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 security 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 requirements for moving controls 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 capabilities • Establish enterprise visibility into AI usage and agent activity • 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 integrate 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 AI security authority, own the 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, LLM APIs, agent frameworks, or agent-to-tool integration protocols • Understanding of LLM-specific threat models, 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 with 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 a detection engineering or security operations context • Relevant certifications such as CISSP, CCSP, or cloud security certifications • Experience with Agile delivery in cross-functional teams

🏖️ Benefits

• Company bonus eligibility based 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