Senior Agentic AI Security Engineer (Autonomous Systems)
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Role details
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Job description
We are building a team that develops AI agents to solve hard security problems β andyou willbe tackling the hardest ones. This is a hands-on, senior IC role. You will architect, build, and ship agentic AI systems thatoperateautonomously within security environments, while also driving the technical direction and standards for how these systems are built, tested, and secured., * Architect and build AI agent systems for security operations β autonomous detection, investigation, response, threat hunting, vulnerability analysis, and risk assessment
- Tackle the novel, high-complexity problems: adversarial robustness of agent systems, secure agent-to-agent communication, guardrails for autonomous decision-making in high-stakes security contexts
- Develop frameworks, tooling, and patterns for building secure and reliable agentic AI systems β then use them yourself
- Conduct original research and experimentation on agentic AI applied to offensive and defensive security, translating findings into working code
- Build proof-of-concept exploits and adversarial tests against agentic AI systems toidentifyfailure modes and inform defensive design
- Develop and publish technical guidance and policy for agentic AI security β grounded in systemsyou havebuilt and broken
- Independently author security position papers on emerging technologies β strategic, high-level documents that frame organizational thinking on new threat domains and drive downstream policy and technical guidance
- Serve as a subject matter expert and key driver of the AI Cybersecurity Maturity program, spanning application security, training, AI controls and infrastructure, AI discovery and inventory, operations and incident response, and policy and procedure development
- Integrate LLMs, custom models, and security tooling (SIEM, EDR, SOAR, cloud platforms, vulnerability scanners) into agent architectures
- Evaluate and adopt emerging AI capabilities (new models, frameworks, techniques) anddeterminetheir applicability to security problems
- Set technical direction for agent development practices, including evaluation frameworks, testing methodologies, and deployment patterns
- Mentor and elevate other engineers on the team through code review, design guidance, and technical leadership
Requirements
- Bachelorβs Degree with 9 yearsβ experience; Masterβs Degree with 8 yearsβ experience; PhD with 4 yearsβ experience.
- Respective years of experience in cybersecurity, security engineering, or security research β with substantial hands-on technical depth
- Strong software engineering skills β you ship production systems, not just prototypes. Pythonrequired;additionallanguages a plus
- Deepexpertisein at least two of: security operations, application security, threat intelligence, vulnerability research, detection engineering, offensive security, cloud security
- Demonstratedexperience building AI agents and AI/ML-powered security tools or automation thatoperatedat scale
- Hands-on experience with agentic coding tools (e.g., Claude Code, Cursor, GitHub Copilot, Aider, or similar) as part of your daily development workflow β you build with agents, not just build agents
- Track record of original technical work β published research, open-source tooling, conference presentations, or equivalent evidence of independent technical contribution
- Ability to work at the intersection of security and AI: you understand both the security implications of AI systems and how to apply AI to security problems
- Experience developing technical standards, frameworks, or guidance that others adopted
- Strong written and verbal communication β you can explain complex technical concepts to both engineers and senior leadership, and you can write strategically about emerging technology risks at a level that shapes organizational direction
Preferred:
- Experience with agent orchestration and autonomous systems (custom frameworks,LangChain,AutoGen, MCP, or similar)
- Background in adversarial ML, AI red teaming, or AI safety
- Familiarity with security compliance frameworks (NIST, ISO 27001, SOX) and how they apply to AI systems
- Published work (Black Hat, DEF CON, OWASP, academic journals, or equivalent venues)
- Experience in regulated industries (financial services, healthcare, critical infrastructure, government/defense)
- Contributions to open-source security projects
- OWASP, MITRE ATT&CK, or similar frameworkexpertiseapplied in production environments
- Security clearance eligibility (notrequired)
Benefits & conditions
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state orlocal law:
- The compensation range described below is the range of possible base pay compensation that the Companybelieves ingood faith it will pay for this role at the timeof this posting based on the job grade for this position.Individualcompensation paid within this range will depend on many factors including geographic location, andwemayultimatelypaymore or less than the posted range. This range may bemodifiedin thefuture.
- We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick),medical/dental/visioninsurance and 401(k) to eligibleemployees.
- This job is eligible toparticipatein our long-term incentiveprograms.
Note: No amount of payis considered to bewages or compensation until such amount is earned, vested, anddeterminable.The amount and availability of any bonus,commission, incentive, benefits, or any other form ofcompensation and benefitsthat are allocable to a particular employeeremainsin the Companyβs sole andabsolutediscretion unless and until paid andmay bemodifiedat the Companyβs sole and absolute discretion, consistent withapplicable law.
AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.
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