Jobs at RTX

Defines enterprise AI and machine learning architectures spanning Generative AI, agentic AI, data, applications, cloud, infrastructure, and enterprise systems. Translates business requirements into architecture blueprints, technical strategies, and implementation roadmaps; develops reusable standards and design patterns; evaluates technology alternatives; and leads technical reviews. The role also establishes patterns for MLOps, model serving, monitoring, governance, security, and deployment across cloud, hybrid, on-premises, and restricted environments while mentoring engineering teams.

Design, build, evaluate, and deploy production AI and ML solutions, including generative AI, large language models, retrieval-augmented generation, and agentic workflows. Develop reliable software, APIs, integrations, evaluations, and observability capabilities while partnering with architecture, platform, data, cybersecurity, and business teams. Apply AI engineering practices across enterprise, cloud, hybrid, and regulated environments.

Designs, builds, and operates reusable enterprise AI platform services, backend APIs, model-serving capabilities, agent runtimes, retrieval services, and MLOps infrastructure. The role automates cloud-native deployments across hybrid and restricted environments using Kubernetes, CI/CD, and infrastructure-as-code. Responsibilities include implementing security, identity, observability, lifecycle management, scalability, resilience, and cost visibility for AI workloads while partnering with architecture, application engineering, cybersecurity, data, and product teams.

Provide systems administration across Microsoft Windows and Red Hat Linux environments, including troubleshooting, DNS, DHCP, Active Directory, replication, security hardening, audit-log collection, and vulnerability remediation. Collaborate with cybersecurity teams, document advanced processes, train users, and support 24x7 operations. The role requires scripting, helpdesk troubleshooting, a STEM degree with at least eight years of relevant experience, an active TS/SCI clearance, U.S. citizenship, and up to 10% domestic travel.

Administers and supports enterprise data and analytics platforms, especially Palantir Foundry. Manages users, access controls, platform monitoring, integrations, upgrades, issue resolution, documentation, audits, and governance. Partners with business, security, data governance, technology teams, and external platform providers to maintain operational stability, improve user experience, and coordinate platform enhancements across multiple environments.

Supports program finance through financial reporting, forecasting, variance analysis, Estimate at Completion development, budgeting, Earned Value Management reporting, proposal cost estimating, and FP&A activities. Maintains Work Breakdown Structures in APEX and SAP, prepares sales, profit, and cash forecasts, and coordinates financial requirements with program stakeholders.

Performs financial analysis, forecasting, reporting, cost and schedule analysis, and Earned Value Management for aerospace and defense programs. Supports EAC and LRE development, monthly status reviews, proposals, invoicing, cash management, funding analysis, Gate Reviews, and program financial briefings. Analyzes variances against financial plans and forecasts while supporting program controls and EVMS compliance.

Leads onsite digital technology operations, serving as the primary escalation point between enterprise IT, local leadership, vendors, and production environments. Oversees infrastructure reliability, security, compliance, audit readiness, hosting costs, service delivery, vendor SLAs, and technology deployments. Coordinates network upgrades, facility expansions, equipment installations, collaboration rollouts, maintenance, and telecommunications improvements while advocating for site priorities and ensuring reliable technology support.

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 architecture for resilient, highly available infrastructure in classified environments. Designs hybrid cloud integrations, cross-domain solutions, virtualization, storage, identity, and security architectures. Develops migration strategies, infrastructure roadmaps, capacity plans, and technical documentation while coordinating with systems, network, cybersecurity, and application teams. Advises internal customers, supports proposal efforts, and ensures compliance with DoD cybersecurity frameworks. Requires an active Secret clearance, U.S. citizenship, and up to 10% travel.