Principal Build & Release Engineer

The 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 the
physics 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.

In 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 moderate to significant technical complexity and risk; present business and technical discipline solutions to senior leaders.

• Inform technical investment decisions compute model hosting tooling and build vs. buy and the resourcing needed to deliver working within program and project budgets.

• Communicate complex messages and negotiate internally and with external partners vendors and customers to adopt a point of view and influence peers to act.

• Act as an expert resource and best practice authority for the engineers embedded across the businesses providing technical leadership design review and mentorship without direct management authority.

• Develop peer cross functional and cross business relationships to maximize best practice sharing and team effectiveness.

• Transition delivered capabilities to program ownership with documentation and trained users rather than leaving orphaned pilots.

• Share technical procedural and business knowledge with others and support a continuous learning culture through learning content presentations and mentoring.

Required Qualifications

• Bachelors degree in Computer Science or a STEM major

• Minimum of 10 years of overall engineering experience

• Production AI/ML systems and end to end service delivery experience required throughout.

• This role requires the successful candidate to maintain a US Government Security Clearance; prerequisite for a security clearance is U.S Citizenship. Preference is given to candidates who currently hold a US Government Security Clearance.

• Legal authorization to use in the U.S is required. We will not sponsor individuals for employment visas now or in the future for this job opening

Desired Characteristics Technical Expertise

• Working fluency in the physics and engineering of aero engines and turbomachinery aerodynamics combustion heat transfer structures and rotordynamics and materials with the judgment to tell where a model is physically credible; hands on familiarity with CFD FEA and thermal/structural simulation engine and rig test data surrogate and physics informed modeling model based systems engineering the digital thread and PLM.

• Strong software development in Python and at least one systems language (C Rust Go or Java) with solid API version control and testing practice.

• Strong DevSecOps and MLOps capability: cloud (AWS Azure or GCP) Docker and Kubernetes CI/CD infrastructure as code observability and tooling such as MLflow or Kubeflow with security applied across DevOps and MLOps.

• Applied production experience with LLM retrieval augmented generation and agentic frameworks including multimodal AI building robust secure scalable services with strong UX and moving solutions from prototype to scaled production.

• Ability to architect and build end to end services and integrate them with the digital thread PLM and existing enterprise and simulation systems.

• Working knowledge of configuration choices and related cost implications compute model hosting and build vs. buy and experience with complex solution configurations.

• Experience delivering inside aerospace & defense or comparable regulated constraints: ITAR / export control CMMC RMF / ATO and airgapped or impact level environments. Business Acumen

• 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 uses that understanding to prioritize delivery.

• A product mindset for safety critical certified hardware: comfort with verification and validation certification evidence reliability and the long product and service lifecycle of an engine program.

• Able to articulate the value of what is most important to the business applying presentation and storytelling concepts for cross functional teams.

Leadership

• Acts as an expert resource and technical thought leader for colleagues with less experience providing design guidance and mentoring.

• Strong oral and written communication with strong interpersonal and leadership skills and the ability to communicate and influence effectively across all organizational levels.

• Demonstrated ability to lead programs and projects with established project management skills and the ability to document plan market and execute programs.

• Demonstrated ability to work with and/or lead blended teams including third party partners and customer personnel.

• Demonstrated change management / acceleration capabilities.

• Proven analytical and problem resolution skills with the ability to influence and build consensus across engineering IT and platform teams and leadership.

• Ability to negotiate internally and with external partners vendors and customers.

The base pay range for this position is $00. The specific pay offered may be influenced by a variety of factors including the candidates experience education and skill set. This position is also eligible for an annual discretionary bonus based on a percentage of your base salary/ commission based on the plan. This posting is expected to close on July 10 2026.

GE Aerospace offers comprehensive benefits and programs to support your health and along with programs like HealthAhead your physical emotional financial and social wellbeing. Healthcare benefits include medical dental vision and prescription drug coverage; access to a Health Coach from GE Aerospace; and the Employee Assistance Program which provides 24/7 confidential assessment counseling and referral services. Retirement benefits include the GE Aerospace Retirement Savings Plan a 401(k) savings plan with company matching contributions and company retirement contributions as well as access to Fidelity resources and planning consultants. Other benefits include tuition assistance adoption assistance paid parental leave disability insurance life insurance and paid time-off for vacation or illness.

GE Aerospace (General Electric Company or the Company) and its affiliates each sponsor certain employee benefit plans or programs (i.e. is a Sponsor). Each Sponsor reserves the right to terminate amend suspend replace or modify its benefit plans and programs at any time and for any reason in its sole discretion. No individual has a vested right to any benefit under a Sponsors welfare benefit plan or program. This document does not create a contract of employment with any individual.

This role requires access to U.S. export-controlled information. Therefore employment will be contingent upon the ability to prove that you meet the status of a U.S. Person as one of the following: U.S. lawful permanent resident U.S. Citizen have been granted asylee or refugee status (i.e. a protected individual under the Immigration and Naturalization Act 8 U.S.C. 1324b(a)(3)).