Hiring: Sr. Director, AI Architecture Company: GE Aerospace Location: Cincinnati, OH Job Posted Time: 2026-09-13 13:56:55 Employment Type: Contract Target Skills & Keywords : AWS, Azure, Change Management, Data Pipeline, Docker, Embedded Systems, Enterprise Architecture, GCP, Kubernetes, LLM, MLOps, Product Lifecycle Management, Security Clearance, Six Sigma, Systems Engineering About the job Experience: •10 years of experience, including production AI/ML systems, architecture at enterprise scale, and leadership of technical teams. Required Skills: •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. •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. •Set model and agent lifecycle practice: evaluation against engineering ground truth, versioning, monitoring, drift detection, retraining triggers, and rollback. •Provide leadership, technology guidance, and mentorship throughout the domain; provide architecture direction to the embedded AI Engineers, review their designs, and remove technical blockers to keep delivery moving. •Be a technical leader within the function and develop and coach the technical resources within it; serve as the single technical interface to enterprise platform, data, and security functions. Qualifications: •Demonstrated capacity to consult with the business on the alignment of outcomes and desired AI technical solutions at an enterprise level. •Demonstrated capacity to analyze, design, and develop an AI solution roadmap and implementation plan based on a current vs. future state of the business. •Demonstrated architecture experience covering model training, deployment, and monitoring at enterprise scale, on a strong software engineering foundation: design patterns, APIs, integration approaches, cloud (AWS, Azure, or GCP), and containerization (Docker, Kubernetes). •Applied hands-on capability in LLM and retrieval augmented generation patterns, vector databases, and agentic orchestration frameworks. •Solid functional working knowledge of configuration choices and related cost implications, compute, model hosting, and build vs. buy, and experience with complex solution configurations. •Solid functional working knowledge of data engineering, data governance, and assessing data readiness for AI on messy, real engineering data. •Able to lead early stage interactions with domain engineering teams; guide them as they develop confidence and comfort with the approach and integrate it with their legacy tooling and investments. •Leads others to find creative solutions within complex, interdependent engineering and production processes, drawing on multiple internal and external resources to evaluate conflicting information and arrive at decisions. •Interprets internal and external business challenges and recommends best practices to improve products, processes, and services; stays informed of industry trends to inform decision making. •Understands how the internal and external business model works, engine and propulsion programs, certification, and service / MRO, and facilitates active engagement. Compensation: •$176,000 - $235,000 / year •Competitive benefits and rewards package •This position is also eligible for an annual discretionary bonus based on a percentage of your base salary/ commission based on the plan Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!