Principal Data Engineer, LLM/AI Platforms (Remote)
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Key skills for this role
About the Role
CrowdStrike is hiring a Principal Data Engineer to design and build data infrastructure powering AI-driven security products. The role focuses on LLM integration, agentic workflows, and large-scale distributed systems at exabyte scale.
Key Skills for This Role
Responsibilities
- Architect, implement, and optimize data platforms and pipelines for LLMs, RAG, and AI agentic systems at Exabyte scale
- Drive adoption and deployment of agentic workflows and agent harnessing techniques
- Design and implement highly scalable, fault tolerant, and cost effective data solutions
- Write elegant, production ready code with focus on performance, maintainability, and testing rigor
- Provide technical leadership 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
- Actively mentor engineers, conduct technical workshops, lead design reviews
- Collaborate with Data Scientists, Product Managers, and other engineering teams to transform research prototypes into production grade services
- Own end to end lifecycle of critical data services: development, testing, deployment, and monitoring
Requirements
- Master’s degree or PhD in Computer Science, Data Engineering, or related STEM field, or equivalent practical experience
- 10+ years of progressive experience in Data Engineering/Platform Engineering
- 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
- Exceptional ability to write clean, elegant, performant, and well tested code
- Thorough understanding of engineering practices including peer code reviews, resilient architecture design, and testing paradigms
- Prior experience in a Principal or Staff level engineering role, demonstrating technical leadership and mentorship
Full Job Posting
About CrowdStrike
- CrowdStrike is a global leader in cybersecurity, protecting people, processes and technologies.
- We work on large scale distributed systems, processing almost 3 trillion events per day.
About The Role
- CrowdStrike is looking for a Principal Data Engineer with deep expertise in LLMs and AI platforms to join our Data Science Platform Engineering Team.
- You will design, build, and deploy cutting edge data infrastructure powering our next generation of AI driven security products.
What You'll Do
- Architect, implement, and optimize data platforms and pipelines specifically designed to support LLMs, 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 elegant, production ready code with a focus on performance, maintainability, and testing rigor.
- 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.
- Actively mentor engineers, conducting technical workshops, leading design reviews, and strengthening the team's knowledge.
- 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.
What You'll Need
- Master’s degree or PhD in Computer Science, Data Engineering, or a related STEM field, or equivalent practical experience.
- 10+ 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.
- A thorough understanding of engineering practices, including effective peer code reviews, resilient architecture design, and comprehensive testing paradigms.
- Prior experience in a Principal or 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.
Bonus Points
- Direct experience building, deploying, and managing LLMs in a production environment.
- Prior experience in the cybersecurity, intelligence, or high compliance industries.
- Contributions to open source projects related to data or AI/ML.
Compensation
- Base salary range for Canada: CAD 210,000 CAD 320,000 per year + variable/incentive compensation + equity + benefits.
Benefits
- Market leader in compensation and equity awards
- Comprehensive physical and mental wellness programs
- Competitive vacation and holidays
- Paid parental and adoption leaves
- Professional development opportunities
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