RTX

Associate Director - Chief Engineer & Researcher for Advanced ISR Solutions at RTX, focusing on EO/IR imaging systems and intelligence products. This role involves leading multi-disciplinary engineering teams, driving program execution and R&D innovation, and interfacing with customers. The position requires a Top Secret security clearance and U.S. citizenship.

RTX is seeking a Principal Engineer - Data Science & Analytics in Bengaluru, India, to develop, deploy, and support machine learning and statistical models for forecasting, prediction, and prescriptive solutions in gas turbine engine maintenance. The role involves leading the implementation of advanced analytics, creating Power BI dashboards, and providing technical leadership for model development, testing, deployment, and monitoring.

Senior Product Manager for Raytheon DT’s Data, Analytics, and AI team. This role will define the vision, prioritize features, and manage product roadmaps for next-generation Raytheon data and AI products and services, leveraging enterprise data, AI technology, and market analysis to deliver integrated end-to-end solutions. The candidate will collaborate with business stakeholders, engineering, data science, design, and product teams to deliver scalable AI solutions.

AI Solution Architect for RTX, responsible for guiding internal business customers in the evaluation and implementation of AI-enabled Enterprise AI solutions. This role involves assessing use cases, recommending existing platforms or vendor solutions, consulting on AI initiatives, and ensuring adherence to Responsible AI, Cybersecurity, Legal, and Privacy policies. The architect will also drive enterprise alignment to prevent duplication and promote reuse of AI platforms.

RTX is seeking an experienced AI/ML Architect to lead the design, integration, and scaling of AI solutions within the organization. This role requires a strategic vision and operational expertise to ensure AI initiatives are technically sound, properly governed, and aligned with business objectives. The architect will guide technology choices, support teams in deploying AI/ML architectures, and ensure responsible AI usage.