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 |
|---|---|---|
| Engineer III - Data Software Engineer role focused on developing data classification engines and extracting insights using ML algorithms within CrowdStrike's cybersecurity platform. This role involves research, design, development, and implementation of data classification systems, with a strong emphasis on big data and ML. | Data | 7 |