Enterprise AI Security Advisor

🔥 12 hours ago

🇺🇸 United States – Remote

💵 $129k - $253k / year

⏰ Full Time

🟠 Senior

🔴 Lead

👮‍♂️ Cybersecurity / Security Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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 and productivity trade-offs, and investment priorities • Define security requirements and approved patterns for AI systems, including identity, permissions, data access, 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 and identify required controls • Develop and lead testing for prompt injection, sensitive data exposure, excessive permissions, unsafe agent actions, jailbreaks, and misuse scenarios • Define evidence required before moving controls from monitoring to blocking • Maintain threat models for high-value AI systems 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 visibility into enterprise 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 engineering 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 on AI threat models, safe agent design, and responsible AI principles • Engage vendors, industry groups, and technology partners on emerging AI security capabilities • At the Sr. Advisor level, serve as enterprise authority on AI security, own multi-year strategy and investment cases, 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 a 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 and distinguish useful capabilities from features that do not address actual risks • Proficiency in Python or a comparable language • Working knowledge of AWS or Azure, REST APIs, and infrastructure-as-code • 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 such as pharmaceuticals or healthcare • 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 • Ability to work across engineering, infrastructure, security, product, legal, and leadership teams • Excellent written and verbal communication skills • Ability to explain AI risk to technical and business audiences

🏖️ Benefits

• Company bonus depending, in part, 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