We're looking for an AI and Automation Engineer – Information Security Governance with a passion for transforming security governance through intelligent automation and AI-powered solutions.

🎯 Responsibilities

1. AI Solution Development & Knowledge EngineeringOwn the development and roadmap of internal AI-based advisory tools, turning static security policies and knowledge base articles into interactive, intelligent agents. Build and optimize Retrieval Augmented Generation (RAG) data pipelines to ingest diverse sources—such as Google Docs, ServiceNow articles, and slide decks—into AI models for accurate, grounded advisory. Refine and tune language model (LLM) performance to deliver technically sound, user-friendly, and reliable security and privacy advice.
2. Low-Code & Automation EngineeringLeverage low-code enterprise platforms (e.g., LEAP Outsystems or similar) to create self-service front-end interfaces for 24/7 employee access to security guidance. Identify manual bottlenecks in workflow processes (IRAAM, PETRA, OIA) and engineer automated solutions to enhance efficiency. Maintain and optimize operational tools (e.g., Google Apps Script) to ensure reliable data integration from sources such as Snowflake, Thoughtspot, and ServiceNow.
3. Operational Excellence & SupportServe as the primary technical contact for AI and automation tool incidents, providing troubleshooting and coordinating with platform teams for permanent solutions. Support end-users and Information Security Coordinators to maximize the value of automated security tools. Analyze tool usage and AI response accuracy, proposing continuous improvements based on insights.
4. Evangelism & PartnershipCollaborate with security and privacy experts to convert expertise into logic-based automation and AI workflows. Act as a subject matter expert, researching emerging AI and machine learning applications for threat identification and policy analysis.

🛠️ Requirements

1. 3–5 years of hands-on experience in AI/ML applications and workflow automation.
2. Proven ability in RAG and LLM integration, with experience engineering data pipelines and mitigating AI hallucinations for grounded outputs.
3. Experience with enterprise-grade low-code technologies such as Outsystems (LEAP) or similar.
4. Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related field.
5. Ability to design complex data flows linking unstructured documents to structured AI outputs.
6. Proficiency in JavaScript/Google Apps Script and Python.
7. Experience with data visualization tools like Snowflake, Thoughtspot, or Tableau.
8. Foundational knowledge of ServiceNow (GRC and ITSM) is an advantage.
9. Understanding of information security principles and data privacy concepts.
10. Strong skills in analytical problem solving and debugging complex automation or data issues.
11. User-centric mindset for building intuitive, desirable tools.
12. Excellent communication skills to connect with security experts and explain technical concepts to non-technical stakeholders.
13. Demonstrated innovation and curiosity, especially in applying GenAI/LLMs to productivity challenges.
14. Ability to navigate ambiguity, translating strategic advice into functional solutions.
15. Self-starter capable of managing technical projects from concept to production with minimal supervision.

➕ Nice to have

1. Experience working in regulated industries such as pharmaceutical, healthcare, or finance.