AI-Driven Security Automation Engineer

GCS Recruitment; United States; Remote; USD 120,000 - 210,000; Full time

Job summary

GCS Recruitment is seeking a senior security automation engineer to design, build, and operate AI-driven workflows for production environments. You will create intelligent agents, manage memory and context, and integrate with security tools and data sources to automate threat response.

You will collaborate with threat intel, threat hunters, and incident responders to translate security requirements into scalable technical solutions, ensuring reliability and speed.

Qualifications

• Bachelor's degree or equivalent professional experience in a related field.
• 8+ years of software or security engineering experience.
• Proven ability to design production-grade automation solutions.
• Experience with AI/ML or LLMs in operational environments.

Responsibilities

• Design, build, test, deploy, and operate production-grade security automation and AI-driven workflows.
• Develop intelligent agents that securely access data, call approved tools, and run multi-step workflows.
• Implement memory, context management, task recovery, escalation, and human approval mechanisms.
• Reduce operational noise and false positives while speeding up security responses.
• Create security controls and guardrails for AI agents and automated workflows.
• Collaborate with threat intel, threat hunters, and incident responders to solve operational challenges.

Skills

Python

LLMs & AI-driven automation

Security automation

API integration

Multi-agent coordination

Memory management

Education

Bachelor's degree or equivalent in CS/Engineering/Cybersecurity

Tools

Kubernetes

Cloud platforms

Distributed systems

Job description

Key Responsibilities

• Design, develop, test, deploy, and operate production-grade security automation and AI-driven workflows.
• Build intelligent agents capable of securely accessing security data, invoking approved tools, maintaining context, and executing multi-step workflows.
• Develop automation that can assist with:
  • Threat intelligence
  • Threat hunting
  • Detection engineering
  • Security investigations
  • Incident response
  • Security data analysis
• Apply modern AI and automation techniques, including:
  • Tool calling
  • Retrieval-augmented generation (RAG)
  • Structured generation
  • Planning
  • Reflection
  • Verification
  • Model routing
  • Multi-agent coordination
• Design mechanisms for memory, context management, task recovery, escalation, and human approval.
• Build automation designed to reduce operational noise and false positives while improving the speed and consistency of security response.
• Develop appropriate security controls and guardrails around AI agents and automated workflows.
• Create evaluation and testing strategies to measure the accuracy, reliability, security, and performance of automation.
• Evaluate emerging AI models, agent frameworks, automation platforms, and orchestration technologies.
• Prototype new capabilities and transition successful solutions into reliable production environments.
• Work closely with threat intelligence analysts, threat hunters, detection engineers, incident responders, and security-data engineers to understand operational challenges.
• Translate security requirements and operational processes into scalable technical solutions.
• Develop clean, maintainable, scalable, and well-documented code.
• Troubleshoot, monitor, and continuously improve automation running in production.
• Participate in architecture, design, code reviews, and technical decision-making.
• Identify opportunities to automate repetitive or time-sensitive security processes and improve overall SOC efficiency.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, Cybersecurity, Information Systems, or a related field, or equivalent professional experience.
• 8+ years of experience in software engineering, security engineering, automation engineering, AI/ML engineering, or a related technical field.
• Strong hands-on software development experience.
• Experience building automation solutions or AI-powered applications for production environments.
• Experience working with Large Language Models (LLMs), generative AI, or agentic AI technologies.
• Strong programming skills in Python and/or another modern programming language.
• Experience integrating applications with APIs, tools, data sources, and external systems.
• Understanding of AI agent concepts such as tool use, planning, context management, retrieval, memory, and verification.
• Experience designing and implementing reliable, scalable technical solutions.
• Strong analytical and problem-solving skills.
• Ability to work with both software engineers and security professionals to translate operational challenges into technical solutions.

Preferred Qualifications

• Experience building agentic AI systems or autonomous security workflows.
• Experience with security automation, SOAR, SIEM, or security orchestration platforms.
• Experience with cybersecurity operations, threat intelligence, threat hunting, detection engineering, or incident response.
• Experience with RAG, vector databases, embeddings, semantic search, or knowledge retrieval.
• Experience with multi-agent architectures and AI orchestration frameworks.
• Experience developing AI evaluation frameworks, testing harnesses, or benchmarking processes.
• Experience with Kubernetes, cloud platforms, microservices, APIs, and distributed systems.
• Experience implementing human-in-the-loop controls and approval workflows.
• Experience taking AI/automation solutions from proof of concept through production deployment.
• Familiarity with security controls and best practices for deploying AI systems in enterprise environments.

GCS is acting as an Employment Business in relation to this vacancy.