> Markdown version of [/jobs/ext/1996262-principal-staff-engineer-ai-platform-research-data-science-remote](https://www.wearedevelopers.com/jobs/ext/1996262-principal-staff-engineer-ai-platform-research-data-science-remote). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Staff Engineer, AI Platform Research, Data Science (Remote) - **Company:** CrowdStrike - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $195,000.0 - $290,000.0 - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Artificial Intelligence, Airflow, Amazon Web Services, Artificial Neural Networks, Computer Vision, BigQuery, Cloud Computing, Cyber Security, Databases, Data as a Services, Information Engineering, Data Systems, Data Warehousing, Shard (Database Architecture), Distributed Computing Environment, Distributed Systems, Fault Tolerance, Java Virtual Machine (JVM), Python (Programming Language), Open Source Technology, DataOps, Secure Coding, Security Information and Event Management, Data Streaming, Large Language Models, Snowflake, Prompt Engineering, Apache Spark, Generative AI, AI Platforms, Kubernetes, Information Technology, Code Testing, Apache Flink, Production Code, Data Analytics, Dask, Apache Kafka, Data Management, Machine Learning Operations, Oracle Cloud Infrastructure, Devsecops, Docker - **Published:** August 8, 2026 - **Apply:** https://crowdstrike.wd5.myworkdayjobs.com/crowdstrikecareers/job/USA---Remote/Principal-Staff-Engineer--AI-Platform-Research--Data-Science--Remote-_R29540?source=BuiltInNationwide ## About the Role * Bachelor's, Master's or PhD in Computer Science, Data Engineering, or a related STEM field, or equivalent practical experience. * 5+ years of progressive experience in Data Engineering/Platform Engineering, with at least 3 years focused on architecting and building platforms for AI/ML or Data Science at massive scale. * Demonstrable hands-on experience in LLM engineering (fine-tuning, prompt engineering, deployment), RAG, and developing agentic workflows. * Proven track record of designing and delivering large-scale distributed systems (sharding, partitioning, concurrency). * Exceptional ability to write clean, elegant, performant, and well-tested code, coupled with a proactive mindset for delivering results quickly. * Ability to leverage AI aided secure code development * A thorough understanding of engineering practices, including effective peer code reviews, resilient architecture design, and comprehensive testing paradigms. * Prior experience in a Staff level engineering role, demonstrating technical leadership and mentorship capabilities. * Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes., * Prior experience in the cybersecurity, intelligence, or high-compliance industries. * Contributions to open-source projects related to data or AI/ML. ## Description CrowdStrike is looking for a hands-on Staff Data Engineer with deep expertise in Large Language Models (LLMs), Agents and AI platforms to join our growing Data Science Platform Engineering Team. You will be a key technical leader, responsible for designing, building, and deploying cutting-edge data infrastructure that powers our next generation of AI-driven security products. Given the rapid evolution of AI tooling and development standards, we seek a technical leader to stay at the forefront of research, optimizing these systems while driving the platform advancements that accelerate our research teams. This role requires significant hands-on experience in LLM integration, agentic workflows, and agent harnessing to deliver high-impact, scalable solutions. You will champion by hands on executing engineering excellence, focusing on shipping fast, writing elegant, high-quality code, and actively mentoring and strengthening the team's technical knowledge and capabilities. The scale of our systems 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: * Write code everyday. Architect, implement, and optimize data platforms and pipelines specifically designed to support LLMs, Neural Networks, 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. * Lead by example in hands coding highly scalable, fault-tolerant, and cost-effective data solutions, emphasizing rapid iteration and high-quality deployment. * Write elegant, production-ready code with a focus on performance, maintainability, and testing rigor, ensuring the ability to ship fast without compromising quality. * Provide technical leadership and deep expertise in data modeling, normalization, and semantic cataloging for AI/ML workloads. * Establish best practices for MLOps/DataOps surrounding LLMs, including monitoring, observability, and zero-touch recovery mechanisms for AI services. * Actively mentor engineers, conducting technical workshops, leading design reviews, and strengthening the team's knowledge in cutting-edge 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: * Languages: Expert-level proficiency in at least one - Python, Go, Rust, or JVM technologies. * AI/ML: MLOps tools (MLflow, SageMaker, Vertex AI); agentic frameworks (LangChain, LlamaIndex). * Distributed Processing: Spark, Dask, or Flink. * Cloud: AWS, GCP, or OCI and related data services. * Containers & Orchestration: Docker, Kubernetes. * Streaming: Kafka, Pulsar. * Data Warehousing & Orchestration: Snowflake, BigQuery, Airflow, Kubeflow., Engineer II will administer and engineer virtualization environments (VMware and open-source), manage Linux systems, monitor and maintain production infrastructure, troubleshoot server hardware, automate deployments (IaaS, Chef), write automation scripts, participate in on-call rotations, and work with distributed teams across time zones. Familiarity with public cloud concepts and proven use of AI technologies to improve operations is expected. Top Skills: AlarmsChefCloud AdministrationDashboardsGoIaasJavaScriptLinuxMonitoringOpen Source VirtualizationPerlPHPPublic CloudPythonVMware CrowdStrike Sales Manager 14 Hours Ago Remote or Hybrid 130K-175K Annually Senior level 130K-175K Annually Senior level Cloud * Computer Vision * Information Technology * Sales * Security * Cybersecurity The Specialist Sales Manager will develop account strategies, drive sales of NG SIEM and log management solutions, and expand revenue through relationship building and collaboration with cross-functional teams. Top Skills: CybersecurityData AnalyticsLog ManagementSalesforceSIEM CrowdStrike ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [AI Won't Fix Your Engineering Culture](https://www.wearedevelopers.com/videos/100266-ai-won-t-fix-your-engineering-culture) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 134 - Where pixels sing?](https://www.wearedevelopers.com/magazine/477-dev-digest-134-where-pixels-sing)