Enterprise AI Security Advisor

Eli Lilly and Company

. Establish and own a companywide approach to securing AI agents, models, applications, and supporting infrastructure .

Posted 10/10/2026full-timeRemote • United StatesSeniorLead💰 $129,000 - $253,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI security, including the establishment of security controls, risk management, and incident response for AI systems. Proficient in evaluating security products and integrating security requirements into architecture and operational processes.

Highest-signal resume keywords

AI Security Strategy DevelopmentCloud Security ExpertiseIncident Response Playbook CreationPython Programming ProficiencyExperience with OWASP Top 10 for LLM Applications

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

CybersecuritySecurity ArchitectureAI ApplicationsIdentity and Access ManagementData ProtectionInference-Time GuardrailsAdversarial Red-TeamingDetection EngineeringRisk AssessmentInfrastructure-as-Code

Soft Skills

Technical LeadershipCollaborationMentoringInfluencing Executive DecisionsCross-Functional Teamwork

Tools & Technologies

AWSAzureSIEMSOAREDRREST APIsAgent FrameworksAI Detection ToolsTelemetry DashboardsData Loss Prevention (DLP)

Certifications & Qualifications

CISSPCCSPCloud Security Certifications

Industry Keywords

AI GovernanceRegulated IndustriesLLM Threat ModelsCybersecurity ComplianceHigh-Risk AI Classifications

Tech Stack

Tools & technologies

AWSAzureCloudCyber SecurityPython

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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