Vulnerability Management Engineer -LLM & AI Security (ID: 3858)
STAFIDE
- Location
- Onsite (Amsterdam, North Holland)
- Employment
- Full-time
- Level
- Senior Level
Posted 2 weeks ago
About the role
STAFIDE is recruiting a Vulnerability Management Engineer to lead enterprise security initiatives using Large Language Models and Generative AI. The role focuses on enhancing detection, automation, and remediation workflows to strengthen the organization's overall security posture.
Skills
Vulnerability management
Cyber security
Large language models
Generative AI
Prompt engineering
RAG
LangChain
Azure OpenAI
Python
PowerShell
Bash
Cloud security
DevSecOps
CI/CD pipelines
Container security
SIEM
Full job details
As a Vulnerability Management Engineer, you will:
- Lead enterprise vulnerability management initiatives across infrastructure, cloud, applications, and code repositories.
- Leverage Large Language Models (LLMs) and Generative AI to enhance vulnerability detection, analysis, and remediation.
- Develop AI-driven automation to streamline vulnerability management processes and reduce manual effort.
- Collaborate 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.
- Improve security operations by implementing AI-powered insights, intelligent workflows, and automated remediation recommendations.
- Drive continuous improvement of vulnerability management practices using emerging AI technologies and automation.
- Ensure timely remediation of critical vulnerabilities while supporting organizational security and compliance objectives.
What You Bring to the Table:
- 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.
- Experience with SIEM solutions such as Microsoft Sentinel, Splunk, or QRadar is an advantage.
- Strong analytical, problem-solving, communication, and stakeholder management skills.
You should possess the ability to:
- Design and implement AI-powered vulnerability management and remediation workflows.
- Analyze, prioritize, and manage vulnerabilities based on risk, exploitability, and business impact.
- Automate security processes and integrate vulnerability scanning into DevSecOps pipelines.
- Build AI-assisted security solutions for vulnerability analysis, reporting, and remediation recommendations.
- Collaborate with cross-functional teams to strengthen the organization's security posture and ensure compliance with security standards.
- Stay updated with emerging cybersecurity threats, AI security trends, and industry best practices.
What we bring to the table:
- Opportunity to work on cutting-edge AI-powered cybersecurity and vulnerability management solutions.
- Exposure to enterprise-scale cloud security, DevSecOps, and security automation initiatives.
- A collaborative environment that encourages innovation, continuous learning, and technical growth.
- Opportunities for professional development, certifications, and career advancement while working with modern security technologies.
Let’s Connect
Want to discuss this opportunity in more detail? Feel free to reach out.
Recruiter: Aswin Dhanvandhar
Phone: +31 20 369 0609 ; Extn :141