Teams at RTX

Leads integrated planning and scheduling for complex DoD aerospace programs. Develops and maintains integrated master plans and schedules, performs critical path and schedule risk analysis, supports earned value management, ensures cost and schedule alignment, and coordinates cross-functional program integration. Builds schedule models from proposals and contract requirements, supports audits and compliance reviews, trains schedulers, and presents management information. The remote role requires U.S. citizenship and up to 10% travel.

Build and improve large-scale machine learning models for aviation prediction products, including runway landing times, gate arrivals, and taxi durations. Develop high-performance systems using historical aviation data and complex data types, contribute ideas in an agile environment, and improve operational efficiency for airlines and airports. Preferred experience includes Kubernetes, AWS, GPU acceleration, graph neural networks, geospatial data, observability, ETL orchestration, and large-scale data processing.

Leads enterprise AI governance strategy, roadmap, and platform delivery. Translates regulatory, legal, risk, and policy requirements into governance capabilities including model registries, risk assessments, monitoring, lineage, quality controls, and responsible AI workflows. Partners with legal, compliance, risk, data, technology, and business stakeholders; drives adoption, operating model maturity, training, change management, and regulatory readiness. Mentors governance teams and oversees playbooks for model evaluation, bias testing, privacy assessments, and production monitoring.