Currently tracking 25 active AI roles, down 27% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $160k–$370k (avg $264k).
CrowdStrike has 40 active job listings related to artificial intelligence. The majority of these roles, 55%, are focused on agents, followed by serving infrastructure at 23%. The dominant function for these positions is Engineering, with 35 roles. The company is hiring for these AI positions across the United States, India, and Romania. Frequent technology tags associated with these roles include agent orchestration, model serving, and inference infrastructure, suggesting a focus on deploying and managing AI models. In the last 30 days, CrowdStrike posted 18 new AI roles, a 22% decrease compared to the previous 30-day period.
CrowdStrike currently has 45 active AI-related roles in our index. The most common open titles are: Sr. Engineer - Data & ML Platform (Hybrid, IND) (4), Sr. Engineer - Vulnerability Detection (Hybrid, IND) (2), Sr. Threat Response Specialist, Falcon Complete (Remote, AUS) (2), Automation Engineer II, Falcon Complete (Remote), Backend Engineer III (Hybrid, IND). Most positions are in Engineering and Research.
CrowdStrike's active AI hiring is concentrated in: agents (49%), serving infrastructure (22%), data (18%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
CrowdStrike is hiring AI talent in: India (17 roles), United States (16 roles), Romania (4 roles), United Kingdom (2 roles).
Job postings at CrowdStrike most frequently reference: agent orchestration, model serving, inference infra, llm observability, evals.
In the past 30 days, CrowdStrike has posted 22 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Sr. Engineer - Data & ML Platform (Hybrid, IND) This role focuses on building and facilitating the adoption of a modern Data+ML platform, modularizing ML code, establishing patterns for model development, deployment, and monitoring, and building a scalable platform for ML experimentation pipelines. It involves leveraging workflow orchestration tools, cloud services, and CI/CD frameworks to support data scientists and influence critical business decisions, with future generative AI investments. | ServeData | 7 |
| Sr. Engineer - Data & ML Platform (Hybrid, IND) CrowdStrike is seeking a Sr. Engineer for their Data & ML Platform team to build an ML Experimentation Platform from the ground up. This role involves designing, implementing, and maintaining scalable ML pipelines for data preparation, feature engineering, model training, and model serving. The team works with massive datasets and focuses on production-readiness, with future plans for generative AI. |
| ServeData |
| 7 |
| Director, Data & ML Platform CrowdStrike is seeking a Director to lead their Data & ML Platform team. This role involves defining and building an ML Experimentation Platform, scaling data and ML infrastructure, and overseeing ML pipelines for the entire lifecycle (data prep, feature engineering, training, serving, monitoring). The position also focuses on leveraging Generative AI and building an AI-powered platform for ML development, with a strong emphasis on operational excellence and stakeholder engagement. | ServeData | 7 |
| Sr. Engineer - Data & ML Platform (Hybrid, IND) CrowdStrike is seeking a Sr. Engineer to build out their ML Experimentation Platform from the ground up. This role involves designing, implementing, and maintaining scalable ML pipelines for data preparation, feature engineering, model training, and model serving. The engineer will also contribute to a production-focused culture and future generative AI investments. The role requires strong experience in distributed systems, data platforms, and ML concepts, with a focus on production deployment and CI/CD. | ServeData | 7 |
| Sr. Engineer - Data & ML Platform (Hybrid) This role focuses on building and facilitating adoption of a modern Data+ML platform, modularizing ML code, establishing repeatable patterns for model development, deployment, and monitoring, and building a scalable platform for ML experimentation pipelines. It involves leveraging workflow orchestration tools, cloud services, and CI/CD frameworks, with a future focus on generative AI use cases. The role emphasizes production-focused ML engineering and bridging the gap between model development and operational success. | ServeData | 7 |
| Sr. Engineer - Data & ML Platform (Hybrid, IND) This role focuses on building and scaling an ML Experimentation Platform, encompassing data preparation, feature engineering, model training, and model serving. It involves developing scalable ML pipelines, modularizing ML code, establishing patterns for model development and deployment, and leveraging workflow orchestration tools. The role also involves integrating with cloud services and CI/CD frameworks, with future plans for generative AI use cases. | ServeData | 7 |