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).
| Title | Stage | AI score |
|---|---|---|
| Senior Engineer – DES Data Analytics This role focuses on developing and implementing algorithms for engine performance condition trend monitoring, anomaly detection, and maintenance forecasting. It involves data analysis, machine learning techniques, and creating predictive models within a relational database structure, primarily for the aerospace and defense industry. | Data | 6 |
| Senior Algorithm Systems Engineer Senior Algorithm Systems Engineer for advanced aerospace sensor programs, focusing on system-level performance analysis, algorithm development, statistical modeling, and data analysis within a defense context. Requires a STEM degree, experience in signal/image processing or machine learning, C++/MATLAB/Python proficiency, and a US security clearance. | Data | 5 |
| Manufacturing Data Analytics Engineer RTX is seeking an experienced Manufacturing Data Analytics Engineer to lead data-driven improvements in production operations. This role involves developing analytics solutions, transforming manufacturing data into actionable insights, and enabling data-informed decisions. Responsibilities include designing and deploying advanced analytics solutions, analyzing production datasets, developing predictive/diagnostic models for manufacturing flow and efficiency, collaborating with engineering and operations, building dashboards and automation, maintaining data pipelines, and providing technical mentorship. Requires a Bachelor's degree in a STEM field with at least 8 years of experience, proficiency in Python/SQL/R/MATLAB, experience with data visualization tools (Power BI, Tableau), knowledge of manufacturing processes, and experience developing predictive models and leading analytics projects. |
| Data |
| 5 |