Vulnerability Management Engineer -LLM & AI Security (ID: 3858)
On-siteAmsterdam, North Holland, The Netherlands
Job Summary
Lead enterprise vulnerability management initiatives across infrastructure, cloud, applications, and code repositories by leveraging Large Language Models and Generative AI to enhance detection, analysis, and remediation. Develop AI-driven automation to streamline processes and reduce manual effort while collaborating with Cyber Security, DevSecOps, Cloud, Infrastructure, and Application teams to identify and address security risks. Analyze, prioritize, and manage vulnerabilities based on risk, exploitability, and business impact, ensuring timely remediation of critical issues. Implement AI-powered insights, intelligent workflows, and automated remediation recommendations to improve security operations and drive continuous improvement using emerging AI technologies.
Required Qualifications
- 5+ years of experience in Vulnerability Management, Cyber Security, Infrastructure Security, or Security Operations
- Hands-on experience with vulnerability management platforms such as Qualys, Tenable, Rapid7 InsightVM, Microsoft Defender Vulnerability Management, or similar tools
- Strong understanding of CVE, CVSS, CWE, MITRE ATT&CK, OWASP Top 10, vulnerability lifecycle management, and security best practices
- Experience with Large Language Models (LLMs), Generative AI, Prompt Engineering, RAG, LangChain, Azure OpenAI, or similar AI technologies
- Proficiency in Python, PowerShell, or Bash scripting for automation and security integrations
- Knowledge of cloud security (Azure, AWS, or GCP), DevSecOps, CI/CD pipelines, APIs, and container security
Desired Qualifications
- Experience with SIEM solutions such as Microsoft Sentinel, Splunk, or QRadar
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