Agentic AI Security Engineer

AbbVie•North Chicago, IL

4h•$109,500 - $208,500

About The Position

We are building a team that develops AI agents to solve real security problems -- detection, triage, response, risk assessment, and policy enforcement. This is a hands-on engineering role. You will design, build, test, and ship agentic AI systems that operate within our security stack. You will work alongside senior engineers and researchers who are pushing the boundaries of what autonomous systems can do in cybersecurity. You will contribute production code from day one while developing deep expertise in both AI/ML and security operations.

Requirements

Bachelor’s Degree in Computer Science, Cybersecurity, or related field with 7 years’ experience; or Master’s Degree with 6 years’ experience; or PhD with 2 years’ experience.
Experience in cybersecurity, software engineering, or a closely related field
Strong Python skills - you can build, debug, and ship production systems
Hands-on experience with at least one area of security operation: threat intelligence, detection engineering, incident response, cloud security, or application security
Hands-on experience with agentic coding tools (e.g., Claude Code, Cursor, GitHub Copilot, Aider, or similar) as part of your daily development workflow - we expect you to build with agents, not just build agents
Working knowledge of LLMs and AI/ML concepts -- you have built something with them, not just read about them
Experience integrating APIs and building data pipelines
Familiarity with security tooling (SIEM, EDR, vulnerability scanners, cloud security tools)
Experience building AI agents or automation systems - you have shipped something, not just experimented
Ability to work independently on well-scoped problems and collaboratively on ambiguous ones

Nice To Haves

Familiarity with agent orchestration frameworks and concepts (LangChain, AutoGen, custom frameworks)
Experience with cloud platforms (Azure, AWS, GCP) and their AI/ML services
Background in threat intelligence, detection engineering, or security automation (SOAR, playbooks)
Exposure to adversarial testing or red teaming of AI systems
Interest in or experience contributing to security policy, standards, or technical guidance
Master’s in computer science, Cybersecurity, or related field

Responsibilities

Build and deploy AI agents that automate security workflows -- threat detection, alert triage, incident response, risk assessment, and compliance monitoring
Integrate large language models and other AI/ML capabilities with security tooling (SIEM, EDR, SOAR, cloud security platforms)
Develop and maintain agent orchestration pipelines, including prompt engineering, tool integration, and evaluation frameworks
Write Python (primarily) to build, test, and iterate on agent systems
Instrument agents with logging, monitoring, and metrics to measure effectiveness against security operations KPIs
Participate in adversarial testing of agent systems -- identify failure modes, edge cases, and security vulnerabilities in agent behavior
Collaborate with senior ICs to translate research concepts into production-ready systems
Contribute to agentic AI security policy, standards, and technical guidance -- informed by what you learn building and running these systems
Help shape best practices for safe and effective use of AI agents in security operations
Contribute to security position papers on emerging technologies -- high-level strategic documents that frame organizational thinking and drive downstream policy and technical guidance
Contribute to the AI Cybersecurity Maturity program across domains including application security, training, AI controls and infrastructure, AI discovery and inventory, operations and incident response, and policy and procedure development