GDS Cyber - Frontier AI Layered Defense Detection and Response - Senior

GDS Cyber - Frontier AI Layered Defense Detection and Response - Senior

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. 

 

 

 

 

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
• Strong 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 workflows
• Knowledge of MITRE ATT&CK and incident response lifecycle
• Strong problem-solving and client communication skills

 

Preferred Skills

• Experience with agentic AI frameworks (LangChain, Semantic Kernel, AutoGen, etc.)
• Exposure to Azure AI / OpenAI platforms
• Understanding of RAG, embeddings, or semantic search
• Experience integrating AI into SOC use cases (correlation, copilots, auto-remediation)
• Knowledge of cloud security / DevSecOps

 

What You’ll Gain

• Opportunity to work on advanced AI-driven SOC transformations
• Exposure to enterprise cybersecurity challenges
• Platform to contribute to innovation in AI-led detection and response
• Collaborative environment with global clients

 

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Experience Level

Senior Level