Principal Data Engineer, LLM/AI Platforms (Remote)

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About the Role: CrowdStrike is looking for a Principal Data Engineer with deep expertise in Large Language Models (LLMs) and AI platforms to join our growing Data Science Platform Engineering Team. You will be a key leader, responsible for designing, building, and deploying cutting-edge data infrastructure that powers our next generation of AI-driven security products. This role requires significant hands-on experience in LLM integration, agentic workflows, and agent harnessing to deliver high-impact, scalable solutions. Yo [... source excerpt omitted ...] and data are approaching Exabytes in size. Experience with extremely large-scale systems, including DevSecOps patterns, practices, and standards are important for this work. What You'll Do: Architect, implement, and optimize data platforms and pipelines specifically designed to support LLMs, Retrieval-Augmented Generation (RAG), and sophisticated AI agentic systems at Exabyte scale. Drive the adoption and deployment of agentic workflows and agent harnessing techniques to create autonomous, data-driven security features. Design and implement highly scalable, fault-tolerant, and cost-effective data solutions, emphasizing rapid iteration and high-quality deployment. Write ele [... source excerpt omitted ...] ge AI platform technologies. Collaborate across the organization with Data Scientists, Product Managers, and other engineering teams to transform research prototypes into robust, production-grade services. Own the end-to-end lifecycle of critical data services: development, testing, deployment, and monitoring. Tech Stack (Expertise in several key areas is expected): MLOps Tools (MLflow, Sagemaker, Vertex AI) Experience with common agentic workflow frameworks (e.g., LangChain, LlamaIndex). Expert-level proficiency in a high-level coding language (Python, or JVM technologies). Deep experience with distributed data processing frameworks (e.g., Spark, Dask, Flink). Strong exper