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AI Agent Engineer – Security Operations (SOC Automation)

Jobs via Dice

Malvern · On-site Contract Senior Yesterday

About the role

Job Summary

We are seeking a highly skilled AI Agent Engineer to build and deploy AI-driven security automation solutions within Security Operations (SOC) environments. The ideal candidate will design intelligent LLM-powered agents for alert triage, threat detection, and incident response, integrating seamlessly with SOC tools and enabling adaptive, autonomous security workflows.

Key Responsibilities

AI & Agent Development

  • Design and build AI agents using LLMs/ML for:
    • Alert triage
    • Incident summarization
    • Threat hunting
  • Implement agent frameworks such as:
    • LangChain, AutoGen, CrewAI, Semantic Kernel
  • Develop autonomous decision logic and adaptive playbooks

SOC Integration & Automation

  • Integrate AI solutions with:
    • SIEM/SOAR tools (Elastic, Tines)
    • EDR platforms
    • Threat Intelligence systems
  • Enable AI-driven SOC automation workflows

Data Processing & Intelligence

  • Apply NLP/LLM techniques to process:
    • Logs, alerts, and threat intelligence data
  • Build contextual insights and correlation models using:
    • Vector databases and knowledge graphs

Engineering & Architecture

  • Develop Python-based applications using:
    • API-driven and event-based architectures
  • Design scalable systems to handle high-volume security telemetry:
    • Network, endpoint, cloud logs

Security Frameworks & Compliance

  • Align detection and response workflows with:
    • MITRE ATT&CK framework
  • Implement human-in-the-loop controls for AI decision-making
  • Ensure security, compliance, and auditability of AI-driven actions

Required Skills & Experience

  • 8–10 years of overall IT experience
  • Strong hands-on experience in:
    • AI/ML & LLM-based agent development
    • Python programming (advanced)
  • Experience with:
    • SOC tools (SIEM/SOAR, EDR, Threat Intelligence platforms)
    • Agent frameworks (LangChain, AutoGen, CrewAI, Semantic Kernel)
  • Strong knowledge of:
    • NLP and LLM applications
    • Vector databases & knowledge graphs
  • Experience with:
    • API-based and event-driven architectures
  • Familiarity with:
    • MITRE ATT&CK framework
    • Security telemetry and log analysis

Technical Skills

  • Python
  • AI Agents / LLM / NLP
  • Cyber Security (SOC, SIEM, SOAR, EDR)
  • LangChain / AutoGen / CrewAI / Semantic Kernel
  • Vector Databases / Knowledge Graphs

Preferred Qualifications

  • Experience with:
    • Symantec Endpoint Protection / EDR tools
  • Exposure to:
    • Cloud security environments (AWS / Azure / Google Cloud Platform)
  • Strong analytical and problem-solving skills
  • Excellent communication and stakeholder collaboration abilities

Key Deliverables

  • Intelligent and scalable AI-driven SOC automation solutions
  • Improved incident response time and threat detection accuracy
  • Robust agent-based security workflows and playbooks
  • High-quality, secure, and reliable AI integrations with SOC tools

Skills

AI AgentsAutoGenAWSAzureCrewAICyber SecurityEDRElasticGoogle Cloud PlatformKnowledge GraphsLangChainLLMMITRE ATT&CKNLPPythonSemantic KernelSIEMSOARSymantec Endpoint ProtectionTinesVector Databases

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