AI-Driven Security Automation Engineer

GCS Recruitment

Philadelphia (Philadelphia County)

On-site

USD 170,000 - 230,000

Full time

14 days+

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Job summary

GCS Recruitment seeks an experienced engineer to design and operate production-grade security automation and AI-driven workflows. You will build intelligent agents, enable memory and context management, and implement secure guardrails across threat intelligence, hunting, detection, and incident response.

The role requires hands-on software/AI development, strong Python skills, and experience with LLMs and API integrations in enterprise environments.

Qualifications

  • Bachelor's degree or equivalent professional experience.
  • 8+ years of software/security/automation experience.
  • Experience building automation or AI-powered applications for production environments.
  • Experience with large language models, generative AI, or agentic AI.
  • Strong programming skills in Python or another modern language.
  • Experience integrating apps with APIs and external systems.
  • Understanding of AI agent concepts: tool use, planning, memory, verification.

Responsibilities

  • Design, develop, test, deploy, and operate production-grade security automation and AI-driven workflows.
  • Build intelligent agents capable of securely accessing data, invoking tools, maintaining context, and executing multi-step workflows.
  • Develop automation for threat intelligence, threat hunting, detection engineering, security investigations, incident response and data analysis.
  • Apply AI/automation techniques: tool calling, RAG, structured generation, planning, reflection, verification, model routing, and multi-agent coordination.
  • Design memory, context management, task recovery, escalation, and human approval mechanisms.
  • Reduce operational noise and false positives while speeding up security response with robust guardrails.

Skills

Python
AI/ML
LLMs
Security Automation
Problem Solving

Education

Bachelor's degree in CS/Engineering/Cybersecurity

Tools

APIs
Kubernetes
Vector Databases
Embeddings
RAG

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.

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