Principal Staff Engineer, AI Platform Research, Data Science (Remote)

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.

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.

#LI-Remote #LI-RC1

Benefits of Working at CrowdStrike:

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 CertifiedTM across the globe

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