Vulnerability Management Engineer -LLM & AI Security (ID: 3858)

Job title: Vulnerability Management Engineer -LLM & AI Security (ID: 3858)

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.