Enterprise AI Security Engineer
Posted 1hrs ago
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Job Description
Enterprise AI Security Engineer building guardrails, detections, and telemetry for Lilly’s enterprise AI systems. Integrating AI security controls across cloud, identity, endpoint, and operations platforms.
Responsibilities:
- Implement, tune, and operate detection and policy content for enterprise AI guardrails across AI assistants, coding agents, and internally built agents
- Triage findings, classify true and false positives, and produce evidence to move controls from monitoring to blocking
- Maintain runbooks, configuration as code, and test suites for guardrail rules and policies
- Participate in tuning reviews, change management, and support rotations
- Assess AI applications, agents, integrations, MCP servers, tool connectors, and third-party AI products
- Execute tests for prompt injection, sensitive data exposure, excessive permissions, and unsafe agent actions
- Contribute to AI threat models and security acceptance criteria using OWASP Top 10 for LLM Applications and MITRE ATLAS
- Track remediation and verify fixes
- Build telemetry pipelines, analytics, and dashboards for AI usage and agent activity
- Develop AI-specific detections and alerts and forward them to SIEM and SOAR platforms
- Support security operations and insider-threat investigations involving AI tools
- Measure and report control effectiveness metrics
- Integrate AI security tooling with AWS, Azure, endpoint, identity, data protection, and ticketing platforms
- Automate deployment, testing, and rollback using CI/CD and infrastructure-as-code
- Evaluate and pilot vendor and platform capabilities
- Apply least privilege, secrets management, and logging to security tooling
- Work with AI application and agent teams to apply security requirements and approved patterns
- Contribute to documentation, standards, and reusable patterns
- Stay current on LLM and agent threats, vendor guardrails, and industry frameworks
- At Principal Engineer level, lead workstreams, mentor engineers, and represent the team in cross-functional sessions
Requirements:
- Bachelor's degree in Computer Science, Cybersecurity, Information Systems, or an IT-related field
- 2+ years of experience in security engineering, software engineering, cloud engineering, or security operations
- Authorized to work in the United States on a full-time basis
- Lilly will not provide support for or sponsor work authorization or visas for this role
- Proficiency in Python and Bash or PowerShell scripting
- Experience with REST APIs and structured data such as JSON and SQL
- Working knowledge of AWS or Azure
- Working knowledge of identity and access management, application security, data protection, or security monitoring
- Hands-on familiarity with LLM-based applications, coding assistants, or agents
- Understanding of prompt injection, data leakage, and excessive permissions
- Experience with detection engineering, DLP, or rule tuning in SIEM, EDR, or proxy/gateway platforms
- Experience with LLM APIs, agent frameworks, MCP, and AI evaluation or red-team tooling
- Familiarity with OWASP Top 10 for LLM Applications and MITRE ATLAS
- Experience with infrastructure-as-code, containers, and CI/CD pipelines, such as Terraform, CloudFormation, Docker, or GitHub Actions
- Experience querying and analyzing data at scale using SQL, Athena, or similar tools
- Experience building dashboards
- Relevant certifications such as Security+, AWS or Azure security, or GIAC, or participation in CTF or AI red-team exercises
- Ability to analyze data, write clear findings, and communicate technical issues to technical and non-technical stakeholders
- Attention to detail, sound judgment, and comfort working in a regulated environment with change control and audit requirements
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



















