Agentic AI Security Engineer

• Compensation: USD 109,500 - USD 208,500 - yearly

About Abb Vie

Abb Vie'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 Abb Vie, please visit us  .

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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

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, Git Hub 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 (Lang Chain, Auto Gen, 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…