Sr. Director, AI Architecture
Job Description SummaryThe AI Architect is the senior technical leader for the team building AI enabled engineering capabilities across the business organizations of an aero engine and propulsion OEM. The role sets the reference architecture, selects and sequences the use cases worth pursuing, validates feasibility through proof of concept builds, and leads and coaches the engineers who deliver them, ensuring everything the team ships is deliverable inside aerospace constraints on data, security, and export control. It pairs hands on technical ownership with the second line leadership, operating plan and budget ownership, and governance responsibilities of the Sr. Director, Architecture (SPB1) standard, with five AI Engineers, one aligned to each business, as direct reports (growing to include team leads), and the mandate to grow the function as the portfolio expands. Deep credibility in the physics and engineering of the product, turbomachinery, aerodynamics, combustion, heat transfer, structures, and materials, and a product mindset shaped by certified, safety critical hardware are core to the role; AI is applied to challenging propulsion and turbomachinery engineering problems across design, analysis, test, manufacturing, and sustainment, not treated as a specialty unto itself.Job DescriptionIn this role, you will:Lead and coordinate the technical and business discussions on future AI architectural direction across multiple teams and complex product lines, anchored to real propulsion and turbomachinery engineering problems.Analyze, design, and develop a roadmap and implementation plan for AI enabled engineering capabilities based on a current vs. future state, in a cohesive architecture viewpoint aligned to the digital thread.Review, analyze, and develop architecture at the domain level and across multiple teams, reference architectures for data pipelines, model and agent deployment, evaluation, and integration with PLM and existing simulation and analysis toolchains.Ground the reference architecture in the realities of aero engine, propulsion, and turbomachinery engineering, design, analysis (CFD, FEA, thermal and structural), test, manufacturing, and sustainment, defining how AI integrates with model based systems engineering, the digital thread, PLM, engine and rig test data, and the existing simulation toolchains.Participate in the enterprise architecture domain governance model, and define the AI governance, security, and export control posture (ITAR / export control, CMMC, RMF / ATO) so solutions are compliant by design across classified and unclassified environments.Contribute to the development of software, data, and technology platforms with reusable components across teams that can be orchestrated together, capturing reusable patterns, libraries, and reference implementations from each delivery.Lead the research and evaluation of emerging AI technology, industry, and market trends (LLM and retrieval augmented generation, vector da...