Principal Staff Engineer, AI Platform Research, Data Science (Remote)
About The Position
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.
Requirements
- 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.
Nice To Haves
- Prior experience in the cybersecurity, intelligence, or high-compliance industries.
- Contributions to open-source projects related to data or AI/ML.
Responsibilities
- 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.
Benefits
- Market leader in compensation and equity awards
- Comprehensive physical and mental wellness programs
- Competitive vacation and holidays for recharge
- Paid parental and adoption leaves
- Professional development opportunities for all employees regardless of level or role
- Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
- Vibrant office culture with world class amenities
- Great Place to Work Certified™ across the globe
- health insurance
- 401k
- paid time off
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What This Job Offers
Job Type
Full-time
Career Level
Principal
