Senior AI Detection & Response Consultant
Ernst Young · Bengaluru · onsite · Posted 44d ago
Undisclosed4–7 yrsfulltimeSourced from
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About this role
Senior Cybersecurity Engineer Agentic AI & SOC Engineering (47 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
- 47 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
- 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
- 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
Sourced from naukri
Skills
AutomationCyberAzure Aiapisai frameworksCapability BuildingcorrelationDevsecopsclient deliveryEmbeddingsCrowdstrikeCapital MarketsdeploymentcloudCloud SecurityCyber SecurityCommunication SkillsArchitectureMicrosoft AzureArtificial Intelligence
About Ernst & Young
Ernst Young
Management Consulting
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