Enterprise AI Security Advisor

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $129k - $231k / year

⏰ Full Time

🟠 Senior

🔴 Lead

👮‍♂️ Cybersecurity / Security Engineer

👻 Ghost score 0%

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Eli Lilly and Company

WebsiteLinkedInAll Job Openings

10,000+ employees

💊 Pharmaceuticals

🏥 Healthcare

🧬 Biotechnology

💰 $6.5M Post-IPO Debt - Eli Lilly on 2024-02

Pharmaceuticals • Healthcare • Biotechnology

Eli Lilly and Company is a multinational pharmaceutical company that researches, develops, manufactures, and markets prescription medicines across multiple therapeutic areas including diabetes, oncology, immunology, neuroscience, and pain. Headquartered in Indianapolis, Indiana, Lilly is known for its extensive R&D, clinical development, and global commercialization of biologic and small-molecule drugs. The company focuses on drug discovery, clinical trials, regulatory approvals, and large-scale pharmaceutical manufacturing and distribution.

📋 Description

• Establish and own a companywide approach to securing AI agents, models, applications, and supporting infrastructure • Maintain a prioritized view of AI security risk across commercial AI products, internally built agents, internal models, and AI compute platforms • Own the roadmap for AI security controls, tooling, and improvements; report progress and measurable outcomes to leadership • Advise senior leaders on emerging AI threats, safety-productivity trade-offs, and investment priorities • Define security requirements and approved patterns covering agent identity, permissions, tool access, data boundaries, human approval, 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 security architecture review, risk acceptance, and change management processes • Assess internally built AI systems and third-party AI products, including their data access, system access, and possible actions • Develop and 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 the design and operation of 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 development teams to embed security into design, build, and deployment • Collaborate with privacy, legal, compliance, quality, and AI governance functions • Mentor engineers and security operations personnel on AI threat models, safe agent design, and responsible AI principles • 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 • Experience in technical leadership, architecture, or senior advisory capacity • 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 • Strong 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 • Excellent written and verbal communication skills • 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 • 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 • Disability accommodation support during the application process