Senior AI-Driven Security Automation Engineer

Type: Contract

Duration: 12+ months

Location: Mt. Laurel, NJ

Overview: Seeking a Senior Security Automation Engineer to build AI-driven security automation solutions within a Cyber Security Operations Center (CSOC). This is a hands-on engineering role focused on developing intelligent agents and automated workflows that improve threat detection, investigations, and incident response.

Key Responsibilities: Design, develop, deploy, and maintain production-grade security automation and AI-powered workflows. Build AI agents capable of accessing security data, using tools, maintaining context, and executing multi-step tasks. Automate processes across: Threat Intelligence Threat Hunting Detection Engineering Security Investigations Incident Response Security Data Analysis Apply advanced AI techniques including: Tool Calling Retrieval-Augmented Generation (RAG) Structured Generation Planning & Reflection Verification Model Routing Multi-Agent Coordination Design memory, context management, task recovery, escalation, and human approval mechanisms. Reduce false positives and operational noise while improving response speed and consistency. Develop security controls and guardrails for AI systems. Create testing and evaluation frameworks to measure AI accuracy, reliability, security, and performance. Collaborate with security and engineering teams to translate operational challenges into scalable automation solutions. Take solutions from prototype to production and continuously optimize them.

Required Qualifications: Bachelor's degree in Computer Science, Cybersecurity, Engineering, Information Systems, or related field (or equivalent experience). 8+ years of experience in software engineering, security engineering, automation, AI/ML, or related technical roles. Strong hands-on software development experience. Experience building production-grade automation or AI-powered applications. Experience with LLMs, Generative AI, or Agentic AI technologies. Strong programming skills, particularly in Python or other modern languages. Experience integrating APIs, tools, data sources, and external systems. Understanding of AI agent concepts including tool use, retrieval, planning, memory, context management, and verification. Strong analytical, problem-solving, and scalable system design skills.

Preferred Qualifications: Experience building agentic AI systems or autonomous security workflows. Experience with SOAR, SIEM, security automation, threat intelligence, threat hunting, detection engineering, or incident response. Knowledge of RAG, vector databases, embeddings, semantic search, and knowledge retrieval. Experience with multi-agent architectures, AI orchestration frameworks, and AI evaluation/testing frameworks. Familiarity with Kubernetes, cloud platforms, microservices, APIs, and distributed systems. Experience implementing human-in-the-loop controls and approval workflows. Proven ability to take AI solutions from proof of concept (POC) to production deployment. Understanding of enterprise AI security controls and best practices. GCS is acting as an Employment Business in relation to this vacancy.