Software Engineer AI/ML

at GE Aerospace in Boise, Idaho, United States

Job Description Summary

The CES Business Intelligence team is building the next generation of AI-powered solutions for commercial, contracts, and operations. Were looking for an AI Engineer to help transform GE Aerospace operational data into production-grade machine learning pipelines, models, and LLM -powered applications.

This is a multi-faceted engineering role. Youll spend most of your time developing AI/ML products by training models, developing applications, and creating APIs. You will partner closely with analytics teams to enable AI within our existing operational tools. Youll also contribute to AI strategy and partner with executive stakeholders to align on requirements, success metrics, and business impact. Were looking for someone whos excited to expand their technical skillset in AI/ML and deliver advanced solutions that directly impact daily operations.

What youll do: Design, build, deliver, and maintain AI/ML products including LLM -powered applications, forecasting models, anomaly detection systems, and intelligent agents. Own the full AI/ML lifecycle: requirements analysis, model design, training, evaluation, API development, deployment, and operational support. Convert complex operational datasets into scalable AI capabilities that enable real-time decision support.

Job Description

Roles and Responsibilities:

AI/ML Product Development

+ Define, build, and evolve AI-powered software products that accelerate Commercial Engine Services operations-including LLM applications, machine learning models, and intelligent automation for supply chain optimization

+ Create Model Context Protocol ( MCP ) servers that package domain-specific AI capabilities for reuse across the enterprise.

+ Package AI/ML models as robust, well-documented APIs that enable seamless integration into dashboards, applications, and operational workflows.

+ Collaborate with BI team to embed AI features into existing applications that enable natural language queries, predictive insights, and intelligent recommendations directly within user-facing applications

Technical Leadership & Collaboration

+ Provide hands-on AI/ML technical leadership for our modernization initiative, setting best practices for prompt engineering, model evaluation, experiment tracking, and responsible AI development

+ Partner with executive stakeholders and BI leadership to understand business challenges and translate operational needs into AI/ML capabilities

+ Ensure