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 |
|---|---|---|
| Associate Director, Solutions Architect - Data, Analytics & AI/ML Platforms (Remote) Associate Director, Solutions Architect for Data, Analytics & AI/ML Platforms responsible for defining end-to-end architecture of enterprise data platforms, advanced analytics solutions, and AI/ML capabilities. Drives platform modernization across cloud, Lakehouse, and AI ecosystems, integrating with platforms like Databricks, Azure, AWS, and SAP S/4. Requires strong technical expertise, enterprise systems thinking, and communication skills to guide development teams and influence business strategy. | Serve | 5 |
| Senior Lead Business Intelligence Analyst Seeking an AI Solutions Engineer to support digital transformation initiatives with a focus on AI operations, cloud development, and AI solution support. The role involves assisting in the implementation, maintenance, and day-to-day operations of internal AI capabilities within a Scaled Agile Framework (SAFe). Responsibilities include collaborating with cross-functional teams, enhancing DevOps and AIOps strategies, managing technical risks, developing integration strategies, and ensuring AI solution scalability, security, and compliance for internal engineers and business users. |
| Serve |
| 5 |
| Senior Systems Engineer/Analyst (ONSITE) Senior Systems Engineer/Analyst role in the defense industry, focusing on systems modeling and analysis for command and control (C2) systems. The role involves designing, architecting, and coding critical capabilities, developing new features for real-time situational awareness C2 systems, and working in an Agile environment. Experience with systems modeling and simulations, complex algorithmic solutions (e.g., MATLAB), and AI/ML technologies is required. A U.S. security clearance is mandatory. | Serve | 5 |