Vulnerability Management Engineer -LLM & AI Security (ID: 3858)
Tasks
- Analyze prioritize and manage vulnerabilities using risk and exploitability
- Collaborate with cybersecurity and DevSecOps teams to remediate security risks
- Design AI powered vulnerability management and remediation workflows
- Develop AI driven automation for vulnerability management
- Ensure timely remediation for critical vulnerabilities
- Implement AI powered insights and automated remediation recommendations
- Integrate vulnerability scanning into DevSecOps pipelines
- Lead vulnerability management initiatives across infrastructure and applications
- Use LLMs and generative AI to improve vulnerability detection and analysis
Perks/Benefits
Skills/Tech-stack
APIs | AWS | Azure | Azure OpenAI | Bash | CI/CD | CVE | CVSS | CWE | Cloud Security | Container Security | Cybersecurity | Defender Vulnerability Management | DevSecOps | GCP | Generative AI | Langchain | Language Models | Large Language Models | Lifecycle Management | MITRE ATT&CK | Microsoft Defender | Microsoft Defender Vulnerability Management | Microsoft Sentinel | OWASP Top | OWASP Top 10 | Powershell | Prompt engineering | Python | QRadar | Qualys | RAG | Rapid7 InsightVM | SIEM | Splunk | Tenable | Top 10 | Vulnerability Management | Vulnerability lifecycle | Vulnerability lifecycle management
Education
N/A
Regions
Countries
States
Cities
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