RTX currently has six active job listings related to artificial intelligence. The hiring is distributed across several stages, with application and agents each representing 33% of the open roles. Engineering is the most frequent function, with four positions, and hiring is primarily concentrated in the United States and Canada. Frequent technology tags include agent orchestration, vision, and embodied AI. Over the last 30 days, RTX has added six new AI roles, a 200% increase compared to the previous 30-day period.
RTX currently has 4 active AI-related roles in our index. The most common open titles are: ASE Methods - Data Science & Analytics Principal Engineer (Onsite), Associate Director – AI Software, Applied Research & Technology – Defense Technologies (Onsite), Senior Algorithm Systems Engineer, Senior Statistician (Onsite). Most positions are in Engineering.
RTX's active AI hiring is concentrated in: agents (50%), post-training (25%), data (25%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
RTX is hiring AI talent in: United States (4 roles).
In the past 30 days, RTX has posted 0 new AI-related roles. That is a -100% change versus the prior 30 days (10 → 0).