Principal Build & Release Engineer

GE Aerospace

Principal Build & Release Engineer responsible for AI solutions in aerospace engineering. Leading AI product delivery and build processes for aerospace propulsion systems.

Posted 6/20/2026full-timeEvendale • 🇺🇸 United StatesLead💰 $152,000 - $202,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDockerGoGoogle Cloud PlatformJavaKubernetesPythonRust

About the role

Key responsibilities & impact

Develop and own product build and release procedures and the end-to-end delivery of AI solutions
Productionize multimodal, agentic LLM and other AI solutions, applied to engine and propulsion engineering problems across design, analysis, test, manufacturing, and sustainment
Lead others to find creative solutions within complex, interdependent engineering and production processes
Take the reference architecture, patterns, and governance set by the AI Architect and deliver against them
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
Lead the delivery of projects with moderate to significant technical complexity and risk
Inform technical investment decisions, compute, model hosting, tooling, and build vs. buy

Requirements

What you’ll need

Bachelor’s 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
US person required; ability to obtain a US security clearance
Working fluency in the physics and engineering of aero engines and turbomachinery, aerodynamics, combustion, heat transfer, structures and rotordynamics, and materials
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)
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
Applied production experience with LLM, retrieval augmented generation, and agentic frameworks, including multimodal AI

Benefits

Comp & perks

Healthcare benefits include medical, dental, vision, and prescription drug coverage
Access to a Health Coach from GE Aerospace
Employee Assistance Program, providing 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
Access to Fidelity resources and planning consultants
Tuition assistance
Adoption assistance
Paid parental leave
Disability insurance
Life insurance
Paid time-off for vacation or illness

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI solutionsproduction AI/ML systemsPythonC++RustGoJavaDevSecOpsMLOpsmodel based systems engineering

Soft Skills

leadershipcreative problem solvingcommunicationtechnical decision making

Certifications

Bachelor’s degree in Computer ScienceUS security clearance