Agentic AI Security Engineer

Company Description

About AbbVie

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology, and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

Job Description

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.

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

Qualifications

Required:

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

Preferred:

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

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:

The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.

We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.

This job is eligible to participate in our long-term incentive programs.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.

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