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Key ResponsibilitiesDesign, 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 intelligenceThreat huntingDetection engineeringSecurity investigationsIncident responseSecurity data analysisApply modern AI and automation techniques, including:Tool callingRetrieval-augmented generation (RAG)Structured generationPlanningReflectionVerificationModel routingMulti-agent coordinationDesign 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 QualificationsBachelor'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 QualificationsExperience 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.

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