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Senior Cybersecurity Engineer – Agentic AI & SOC Engineering (4–7 Years)
Role Overview
As a Senior Cybersecurity Engineer, you will help build next-generation SOC solutions by combining SIEM/XDR/SOAR with AI/LLM-driven automation. The role focuses on designing agent-based AI systems to enhance threat detection, automate investigations, and orchestrate response actions, while engaging in both hands-on engineering and client delivery.
Key Responsibilities
Design and implement agentic AI-driven SOC architectures integrated with SIEM, XDR, and SOAR
Develop AI use cases for alert triage, investigation, incident summarization, and automated response
Build and optimize detection use cases using rule-based and AI-assisted approaches
Integrate LLM capabilities into SOC workflows (analysis, correlation, playbooks)
Support platform deployment, migration, and tuning across SIEM/XDR environments
Improve SOC efficiency through automation, noise reduction, and prioritization
Operationalize threat intelligence into detection pipelines
Collaborate with clients on solution design and implementation
Create architecture diagrams, playbooks, and technical documentation
Contribute to AI-driven SOC capability building
Required Skills & Experience
4–7 years in Cybersecurity / SOC Engineering / Detection & Response
Experience with platforms such as Microsoft Sentinel, Defender XDR, CrowdStrike, or Splunk
Robust understanding of SIEM, SOAR, XDR/EDR, and detection engineering
Exposure to AI/ML or LLM use cases in SOC environments
Experience with automation (playbooks, APIs, scripting)
Familiarity with prompt engineering or AI-assisted wo
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