Enterprise AI Security Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $66k - $158.4k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

👮‍♂️ Cybersecurity / Security Engineer

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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

• 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