Cyber Security Engineer Threat Detection & AI Security
Location: New York, NY / Pittsburgh, PA Onsite
Local Candidates Only
Job Summary
STAFFXPERT is looking for a Senior Cyber Security Engineer Threat Detection & AI Security with strong experience in SIEM, threat detection, threat hunting, and security operations , along with hands-on experience in Generative AI, Agentic AI, and RAG-based solutions .
The ideal candidate will help build and enhance enterprise threat detection capabilities while also supporting security and monitoring of modern AI-enabled environments.
Key Skills
Threat Detection Engineering
Splunk / Sentinel / QRadar / SIEM
Threat Hunting & Incident Response
Security Analytics & Detection Content
EDR & Cloud Security
MITRE ATT&CK
Security Automation / SOAR
Generative AI / LLM / AI Security
Agentic AI & Multi-Agent Workflows
RAG (Retrieval-Augmented Generation)
Vector Databases, Embeddings & Retrieval
Python / FastAPI / Flask
AI Testing & Evaluation RAGAS, DeepEval or similar
Key Responsibilities
Design and develop advanced threat detection rules, analytics, and monitoring capabilities .
Perform threat hunting and identify suspicious activity across enterprise environments.
Develop detection content using Splunk, Sentinel, QRadar, or similar SIEM platforms .
Work with SOC, Cyber Defense, and Threat Intelligence teams to improve detection coverage.
Develop AI agents and agentic workflows , including ReAct and multi-agent orchestration.
Integrate AI agents with enterprise platforms such as Jira, ServiceNow, Git, and APIs .
Build and optimize RAG pipelines using vector databases, embeddings, document chunking, indexing, and retrieval techniques.
Develop AI-powered enterprise knowledge solutions such as AI copilots, knowledge assistants, and FAQ solutions .
Evaluate AI applications for functional correctness, response quality, hallucinations, and reliability .
Work with AI evaluation frameworks such as RAGAS, DeepEval, or custom evaluation frameworks .
Build scalable APIs and services using Python, FastAPI, Flask, or similar technologies .
Implement monitoring, observability, performance optimization, and reliability for AI systems.
Apply cybersecurity principles to AI/LLM applications and AI-enabled environments .
Required Qualifications
14+ years of overall cybersecurity / security engineering experience .
Strong hands-on experience with SIEM and threat detection engineering .
Experience with Splunk, Sentinel, QRadar, or equivalent SIEM platforms .
Strong knowledge of threat hunting, incident response, and detection methodologies .
Experience with EDR, cloud security, and MITRE ATT&CK .
Hands-on experience with Python and API/service development .
Experience with Generative AI, LLMs, RAG, or Agentic AI .
Experience with AI evaluation, testing, or monitoring is highly valuable.
Target Profile: Senior cybersecurity professionals who combine traditional SOC/Threat Detection/SIEM expertise with hands-on GenAI/Agentic AI development and AI security experience.
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