Enterprise AI Security Advisor

Lilly-Lilly

. Establish and own Lilly's companywide approach to securing AI agents, models, applications, and supporting infrastructure .

Posted 10/28/2026full-timeRemote • United StatesSeniorLead💰 $129,000 - $253,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI security architecture, risk management, and incident response, with a strong focus on integrating security into AI applications and infrastructure. Proven ability to lead cross-functional teams and influence executive decisions on AI security investments.

Highest-signal resume keywords

AI Security ArchitectureCloud SecurityIncident ResponsePython ProgrammingCISSP Certification

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

CybersecuritySecurity ArchitectureAI ApplicationsData ProtectionIdentity And Access ManagementInference-Time GuardrailsAdversarial Red-TeamingLLM APIsSecurity OperationsInfrastructure-As-Code

Soft Skills

Technical LeadershipCollaborationMentoringInfluencingCommunication

Tools & Technologies

AWSAzureSIEMSOAREDRREST APIsDLP For AI TrafficAI Detection And Response ToolingAgent FrameworksTelemetry

Certifications & Qualifications

CISSPCCSPCloud Security Certifications

Industry Keywords

AI GovernanceRegulated IndustriesOWASP Top 10 For LLM ApplicationsMITRE ATLASHigh-Risk AI Classifications

Tech Stack

Tools & technologies

AWSAzureCloudCyber SecurityPython

About the role

Key responsibilities & impact

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

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, 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

Comp & perks

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