Anvilogic is a Palo Alto-based AI cybersecurity startup founded in 2019 by security veterans and data scientists from Fortune 500 companies. Our mission is to democratize threat detection and hunting for today’s SOC teams to easily be done across hybrid, multi-clouds and security data lakes without needing to centralize data or rip and replace tools. Further, with our investments in AI-powered automation of detection-as-code to create, test, tune and deploy detections, SOC users can implement high-efficacy detection and hunting techniques without writing a single line of code nor manually wrangling data.Anvilogic raised <a href="https://www.anvilogic.com/learn/series-c">$45M Series C</a> funding in April 2024 and is backed by top-tier VC firms and prominent industry executives. Anvilogic’s AI-powered Multi-Data Platform SIEM is used by many of the industry’s most advanced security teams. Learn about our customers: <a href="https://www.anvilogic.com/customers">anvilogic.com/customers</a> JOB DESCRIPTIONAs a Security Agent Engineer at Anvilogic, you are responsible for designing, building, and deploying AI-powered security agents that autonomously analyze complex cybersecurity data and support incident response workflows. You will combine deep cybersecurity expertise with cutting-edge AI/ML techniques to create intelligent systems that can detect, analyze, and respond to security threats at scale. Working with technologies such as LLMs, agentic frameworks, AWS, Azure, Snowflake, and various security data platforms, youll build the next generation of autonomous security operations tools.<ul> <li>Design, build, and deploy AI-powered security agents for threat detection, incident analysis, and automated response</li> <li>Develop agentic workflows that can autonomously perform log forensics, threat hunting, and incident response tasks</li> <li>Work with product management teams to translate cybersecurity operational requirements into agent capabilities and performance metrics</li> <li>Integrate security agents with existing data lakes, SIEM platforms, and security toolstacks</li> <li>Embed security practitioner knowledge and methodologies into agent decision-making processes</li> <li>Mentor engineering teams on cybersecurity best practices and agent development patterns</li> <li>Collaborate with security operations teams to validate agent outputs and refine detection logic</li> </ul>Minimum Qualifications<ul> <li>5+ years of professional experience with minimum 3+ years in cybersecurity operations</li> <li>Excellent written and verbal communication skills</li> <li>Hands-on experience with incident response, log forensics, and threat hunting across multiple security platforms</li> <li>Proficiency in Python with experience in data analysis, security tooling, or automation</li> <li>Experience with LLMs, agentic frameworks (LangChain, CrewAI, AutoGen), and implementing AI patterns (RAG, tool use, multi-agent systems)</li> <li>Understanding of cloud security architectures and data platforms (AWS, Azure, Snowflake, Databricks)</li> <li>Ability to abstract and systematize cybersecurity methodologies for automated implementation</li> <li>Experience with security data formats, log analysis, and threat intelligence</li> </ul>Preferred Qualifications<ul> <li>Experience building and deploying production AI/ML systems at scale</li> <li>Experience with observability and monitoring tools for AI systems</li> <li>Background in malware analysis, digital forensics, or advanced persistent threat (APT) investigations</li> <li>Experience in conducting security investigations across multiple data platforms</li> <li>Experience with security orchestration platforms (SOAR) and workflow automation</li> <li>Knowledge of threat intelligence platforms and automated threat hunting techniques</li> </ul>

Anvilogic

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