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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Threat Architect, AI-Era Detection & Response - **Company:** Trend Micro Incorporated - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, C++ (Programming Language), Cloud Computing Security, Information Leak Prevention, Distributed Systems, Intrusion Detection and Prevention, Python (Programming Language), Machine Learning, Open Web Application Security, Security Information and Event Management, Software Deployment, Systems Architecture, Large Language Models, Mitre Att&ck, Multi-Cloud, Generative AI, Cyber Threat Analysis, Information Technology, Data Pipelines - **Published:** August 29, 2026 - **Apply:** https://trendmicro.wd3.myworkdayjobs.com/External/job/US-Off-Site/Principal-Threat-Architect--AI-Era-Detection---Response_R0010046 ## About the Role * Bachelor's degree in computer science, engineering, or a related technical field, or equivalent practical experience. * 8+ years in cybersecurity, with demonstrable depth in threat detection and response. * Proven track record designing and delivering complex technical systems from concept through production deployment. * Hands-on experience architecting scalable systems that integrate with existing security tooling and operational workflows. * Working familiarity with AI/ML concepts and their application to threat detection, prevention, or response, including awareness of AI-specific threats and frameworks such as MITRE ATT&CK. * Experience in a research, R&D, or emerging-technologies function, with a demonstrated ability to take ambiguous, open-ended problems and converge them into concrete specifications. * Proficiency in at least one production programming language (e.g., Python). * Strong written and verbal communication, including conveying complex technical concepts to varied audiences. * Must be legally authorized to work in the United States., * Master's in computer science, machine learning, or a security-related discipline. * Direct experience with AI/ML security - securing ML/GenAI models, adversarial ML, or defending against AI-enabled attacks - aligned with frameworks such as the OWASP Top 10 for LLMs. * Experience building or operating detection-and-response platforms (EDR / XDR / MDR, SIEM, SOAR) or agentic SOC architectures. * Hands-on experience with large-scale data-processing systems and modern distributed architectures. * Proficiency in systems languages such as C/C++ or Rust in addition to Python. * Familiarity with cloud security across AWS, Azure, or GCP and with hybrid/multi-cloud environments. * Publication, patent, or conference-presentation record in threat research or applied AI security. * Experience within a vendor CTO office, security research lab, or comparable innovation function. ## Description We are seeking a Principal Threat Architect to research the frontier of AI-era threats and defensive technologies and to design the core detection-and-response capabilities that will anchor our platform for the next several years. This is a senior individual-contributor role at the intersection of threat research and systems architecture. You will study emerging threats and newly viable technologies, prototype and validate novel defensive approaches, and converge open-ended research into durable, production-grade operational architecture. You will work across disciplines - threat intelligence, detection engineering, AI/ML, and platform engineering - to translate what you learn into foundational capabilities rather than point solutions. Success in this role means the architecture you design today is still the foundation defenders build on years from now., * Threat & technology research. Research the evolving AI-era threat landscape - including AI-enabled attacks and threats to AI systems themselves (e.g., prompt injection, model misuse, data leakage) - and translate findings into defensive strategy. * Architecture & capability design. Design new threat operational architecture: scalable, robust detection-and-response systems that integrate with existing security tooling, data pipelines, and analyst workflows. * Prototyping & experimentation. Envision, build, and validate prototypes that demonstrate the feasibility and impact of novel defensive approaches; converge open-ended research into concrete, supportable specifications. * Research-to-production bridge. Partner with detection engineering, data science, and platform teams to transition prototypes from early-stage design into durable, production-grade capabilities. * Technical leadership. Provide principal-level technical leadership on core design decisions and trade-offs; set direction that peers and adjacent teams build upon. * Communication & influence. Communicate complex research and architectural direction clearly to technical and non-technical audiences, including leadership; contribute to thought leadership as appropriate. ## Related Videos - [Tackling the Risks of AI - With AI](https://www.wearedevelopers.com/videos/1690-tackling-the-risks-of-ai-with-ai) - [The Open-source Java SDK for Multi-Cloud Development - Sandeep Pal](https://www.wearedevelopers.com/videos/2113-the-open-source-java-sdk-for-multi-cloud-development-sandeep-pal) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Fighting the Next Wave of Cybercrime](https://www.wearedevelopers.com/videos/100331-fighting-the-next-wave-of-cybercrime) - [Leverage Cloud Computing Benefits with Serverless Multi-Cloud ML ](https://www.wearedevelopers.com/videos/78-leverage-cloud-computing-benefits-with-serverless-multi-cloud-ml) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Dev Digest 134 - Where pixels sing?](https://www.wearedevelopers.com/magazine/477-dev-digest-134-where-pixels-sing) - [Dev Digest 164: AI Agents, AI Blindspots and MCP security problems](https://www.wearedevelopers.com/magazine/578-dev-digest-164-ai-agents-ai-blindspots-and-mcp-security-problems) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Understanding and Mitigating Common Web Vulnerabilities](https://www.wearedevelopers.com/magazine/565-understanding-and-mitigating-common-web-vulnerabilities)