AI & Automation Engineer
About The Position
The Cyber Security Engineering team is seeking an AI & Automation Engineer to build and support technologies for Information Security and Incident Response teams. In a collaborative hybrid Agile/Scrum environment, the engineer uses Python and Golang to develop scripts, orchestrates tasks in Cortex XSOAR, and streamlines security operations. The role also supports the exploration, security, and implementation of AI technologies, including Retrieval-Augmented Generation (RAG), Agent-to-Agent communications, and the Model Context Protocol (MCP). The engineer partners with cross-functional teams to automate defenses and accelerate incident response. AbbVie’s mission is to discover and deliver innovative medicines and solutions that address serious health issues and future medical challenges. Its work spans immunology, oncology, neuroscience, and Allergan Aesthetics products and services.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, or a closely related field plus 5 years of experience, or a master’s degree plus 4 years of experience.
- Related work experience in software engineering, automation, or integration development.
- Strong proficiency in Python and Golang.
- Proven experience developing and consuming RESTful APIs for complex system integrations.
- Capability and interest in learning new technologies, particularly AI technologies such as LLMs, RAG, and MCP.
- Experience working within an Agile/Scrum development methodology.
- Cross-functional collaboration and communication skills, including translating operational needs into technical solutions.
- Understanding of software development lifecycles, version control such as Git, and code testing principles.
- Ability to work successfully in a hybrid work environment.
Nice To Haves
- Hands-on experience with Cortex XSOAR or similar SOAR platforms, such as Splunk SOAR or Tines.
- Exposure 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 not required.
- Familiarity with CI/CD pipelines and infrastructure-as-code deployments.
- Experience with containerization technologies such as Docker or Kubernetes.
Responsibilities
- Write, maintain, and optimize Python and Golang scripts to automate routine security and incident response tasks.
- Develop and manage playbooks, workflows, and integrations within Cortex XSOAR to accelerate incident resolution.
- Partner with security analysts and cross-functional stakeholders to gather requirements and deliver solutions.
- Participate in daily stand-ups, sprint planning, and retrospectives within the Agile framework.
- Assist in designing and implementing emerging AI technologies, including RAG architectures, to enhance security team capabilities.
- Build and test Agent-to-Agent communication workflows for intelligent automated decision-making.
- Assist with developing, integrating, and securing the Model Context Protocol (MCP).
- Connect internal systems and third-party security tools through RESTful API integrations.
- Research and experiment with advances in AI and automation to identify operational efficiencies.
- Conduct peer code reviews and implement automated testing to maintain a high-quality, secure, reliable codebase.
- Create and maintain documentation for scripts, playbooks, and AI integrations.
Benefits
- Paid time off, including vacation, holidays, and sick time.
- Medical, dental, and vision insurance for eligible employees.
- 401(k) for eligible employees.
- Eligibility to participate in short-term incentive programs.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
