Principal Staff Engineer, AI Platform Research, Data Science (Remote)
CrowdStrikeUSA - Remote · Remote · full time · Staff
$195,000 – $290,000
Listed on CrowdStrike’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
CrowdStrike seeks a hands-on principal engineer to design and deploy data infrastructure for AI-driven security products, with emphasis on LLM integration, agentic workflows, and systems operating at exabyte scale. This role combines individual coding excellence with technical leadership and mentorship, ideal for someone who wants to architect cutting-edge AI platforms while staying deeply involved in implementation.
Our summary, not CrowdStrike’s wording. The full posting is on their site.
Skills this role names
- Amazon Web Services (AWS)
- Apache Airflow
- Apache Flink
- Apache Kafka
- Docker
- Go
- Google BigQuery
- Java
- Kubeflow
- Kubernetes
- LangChain
- LlamaIndex
- MLflow
- Python
- Rust
- Snowflake
- SPARK
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What they ask for
Required
- Bachelor's or higher degree in Computer Science, Data Engineering, or related STEM field, or equivalent practical experience
- 5+ years of progressive data engineering or platform engineering experience
- At least 3 years architecting and building AI/ML platforms at massive scale
- Hands-on experience with LLM engineering, fine-tuning, prompt engineering, and deployment
- Experience designing and delivering large-scale distributed systems
- Ability to write clean, performant, well-tested code
- Staff-level engineering role experience with technical leadership and mentorship
- Experience leveraging AI for secure code development
Nice to have
- Prior experience in cybersecurity, intelligence, or high-compliance industries
- Open-source project contributions related to data or AI/ML