AI & Automation Engineer
Indexed description
Job Description
TheCyber Security Engineering team is seeking a dynamic AI & Automation Engineer to build and support the critical technologies that enable our Information Security and Incident Response teams. Operating in a highly collaborative, hybrid Agile/Scrum environment, you willleveragePython and Golang to develop robust scripting, orchestrate tasks within Cortex XSOAR, and streamline complex security operations. Beyond traditional SOAR engineering, you will play a pivotal role in our AI enablement journey by exploring, securing, and implementingcutting-edgetechnologies like Retrieval-Augmented Generation (RAG), Agent-to-Agent communications, and the Model Context Protocol (MCP). We are looking for a strong software engineer with a passion for learning emerging AI concepts who can effectively partner with cross-functional teams to automate our defenses and accelerate incidentresponse.
Responsibilities
- Automation Script Development:Write,maintain, andoptimizeefficient scripts using Python and Golang to automate routine security and incident response tasks.
- SOAR Platform Orchestration:Develop and manage playbooks, workflows, and integrations within the Cortex XSOAR platform to accelerate incident resolution.
- Cross-Functional Collaboration:Partner closely with security analysts and cross-functional stakeholders to gather requirements and deliver impactful solutions.
- Agile Sprint Participation:Actively engage in daily stand-ups, sprint planning, and retrospectives to ensure continuous delivery within our Agile framework.
- AI Implementation Support:Assistin designing and implementing emerging AI technologies, including RAG architectures, to enhance security team capabilities.
- Agent Communication Design:Build and test reliable Agent-to-Agent communication workflows that support intelligent, automated decision-making processes.
- MCP Integration Support:Assist in the development, integration, and security of the Model Context Protocol (MCP) to standardize our AI interactions.
- API Integration Management:Connectdisparate internal systems and third-party security tools using robust RESTful API integrations.
- Continuous Technology Learning:Dedicate time to researching and experimenting with the latest advancements in AI and automation toidentifynew operational efficiencies.
- Code Testing Review:Conduct peer code reviews and implement automated testing tomaintaina high-quality, secure, and reliable codebase.
- Technical Documentation Creation:Create andmaintaincomprehensive documentation for developed scripts, playbooks, and AI integrations to ensure team-wide knowledge sharing.
- Bachelor's degree in Computer Science, Software Engineering, or a closely related field plus 5 years experience; Or Masters Degree plus 4 years experience.
- Respective years of related work experience in software engineering, automation, or integration development.
- Strongproficiencyin programming and scripting languages, specifically Python and Golang.
- Proven experience developing and consuming RESTful APIs for complex system integrations.
- Demonstrated capability and enthusiastic interest in learningnew technologies, specifically in the AI space (e.g., LLMs, RAG, MCP).
- Experience working effectively within an Agile/Scrum developmentmethodology.
- Excellent cross-functional collaboration and communication skills, with the ability to translate operational needs into technical solutions.
- Solid understanding of software development lifecycles, version control (e.g., Git), and code testing principles.
- Ability to work successfully in a hybrid work environment.
- Hands-on experience with Cortex XSOAR or similar SOAR platforms (e.g., Splunk SOAR, Tines).
- Priorexposure to or foundational knowledge of AI frameworks, RAG implementations, or Agent-to-Agent communications.
- Basic understanding of cybersecurity principles or incident response workflows (prior security experience is notrequired, but an interest is a plus).
- Familiarity with CI/CD pipelines and infrastructure-as-code deployments.
- Experience with containerization technologies like Docker or Kubernetes.
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 thetimeofthis posting based on the job grade for this position.Individualcompensation paid within this range will depend on many factors including geographiclocation,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 short-term incentiveprograms.
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.
US & Puerto Rico only - to learn more, visithttps://www.abbvie.com/join-us/equal-employment-opportunity-employer.html
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