Principal Build & Release Engineer
Job Description SummaryThe AI Engineer is the senior individual contributor who owns the end-to-end build and productionization of AI enabled engineering capabilities across the business organizations of an aero engine and propulsion OEM. The role takes the reference architecture and patterns set by the AI Architect and turns them into robust, secure, scalable production services with great UX, multimodal, agentic LLM and other AI solutions, hardened against real engine engineering data and workflows across design, simulation, test, manufacturing, and sustainment. It embeds with the engineering teams of its assigned business, owns the build and release lifecycle for the capabilities it delivers, and stays hands on, architecting and building services and making pragmatic engineering tradeoffs rather than reviewing from a distance. Deep credibility in thephysics and engineering of the product, turbomachinery, aerodynamics, combustion, heat transfer, structures, and materials, and product mindset shaped by certified, safety critical hardware are core to the role.Job DescriptionIn this role, you will:Develop and own product build and release procedures and the end-to-end delivery of AI solutions, for a single release or multiple releases, working across the immediate team and other teams across the businesses.Productionize multimodal, agentic LLM and other AI solutions, applied to engine and propulsion engineering problems across design, analysis, test, manufacturing, and sustainment, as robust, secure, scalable systems with great UX; architect and build end to end services.Ground every capability in the realities of aero engine, propulsion, and turbomachinery engineering, integrating AI with CFD, FEA, thermal and structural analysis, engine and test data, model-based systems engineering, the digital thread, and PLM, so it augments how engines are designed, analyzed, tested, certified, and sustained.Lead others to find creative solutions within complex, interdependent engineering and production processes with technical variety, turbomachinery design, analysis, and test cycles, employing sophisticated operational / product management, manufacturing, and engineering techniques, drawing on multiple internal and external resources and questioning conflicting data to arrive at decisions.Take the reference architecture, patterns, and governance set by the AI Architect and deliver against them, keeping solutions compliant with data, security, and export control requirements (ITAR / export control, CMMC, RMF / ATO) across classified and unclassified environments.Own the model and agent delivery lifecycle in production: data pipelines, CI/CD, containerized deployment, model and agent serving, monitoring, and the build and release pipeline.Interpret internal and external business challenges and recommend best practices to improve products, processes, and services; use industry trends to inform the decision making process.Lead the delivery of projects with m...