AI Agent Engineer-Security Operations (SOC Automation)
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Role details
Tech stack
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Requirements
Artificial Intelligence (AI), Automation, Automation, Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Hunting, Use Cases, Security Information and Event Management (SIEM), Natural Language Processing (NLP), Intel Product Family, Hands-on experience building AI agents using LLMs/ML for security use cases (alert triage, incident summarization, threat hunting).
Strong integration experience with SOC tools-SIEM/SOAR (Elastic, Tines), EDR, and Threat Intelligence platforms.
Design of autonomous decision logic & playbooks enabling adaptive, AI-driven SOC responses.
Applied NLP/LLM expertise for processing logs, alerts, and threat intel into contextual insights.
Proven Python-based engineering skills with API-driven, event-based architectures.
Experience with agent frameworks (LangChain, AutoGen, CrewAI, Semantic Kernel).
Exposure to vector databases & knowledge graphs for contextual correlation.
Familiarity with MITRE ATT&CK-aligned detections and response workflows.
Experience implementing human-in-the-loop controls for AI-driven SOC actions.
Knowledge of security telemetry at scale (logs, network, endpoint, cloud).
Skills: Digital : Python~Cyber Security~AI Agents~Symantec Endpoint Protection and EDR Experience Required: 8-10
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