Jobs · Engineering

Sr Staff Gen AI Application Engineer

GE Aerospace · Cincinnati, OH · 5 days ago
RemoteRemoteEngineering$143k–$190k/yrFull-time

About the role

This position provides IT engineering for the rapid, scalable, and compliant delivery of enterprise software applications and foundational workflows. The hallmark of our team is our ability to build next-generation applications by leveraging agentic AI development tooling using Claude Code to execute against three core pillars: modernizing our legacy portfolio capabilities by engineering new, operationally stable software alternatives; informing SaaS "make vs. buy" decisions at scale by rapidly prototyping bespoke solutions; and driving enterprise upskilling by establishing blueprint patterns for AI-assisted application development. These efforts allow for significant operational efficiency and consumption-focused innovation across GE Aerospace, as well as provide for improved, cutting-edge software services to our global workforce and customers.

Responsibilities

  • Architect and design sound/supportable technical solutions for net-new software applications built from the ground up utilizing Claude Code and agentic workflows
  • Evaluate legacy systems to determine capabilities and requirements necessary to build high-performance, operationally stable replacement applications using generative development tools
  • Code complex, integrated, and modular applications by actively using Claude Code and related agentic software development frameworks
  • Provide support, maintenance, and continuous iterative improvement of AI-generated codebases and deployment pipelines
  • Triage/debug application performance, data handling, and security issues, tracing bugs within AI-generated code to establish corrective prompts and structural code remedies
  • Partner with multi-functional business units and product teams to assess their software needs and translate them into agentic prompt parameters and functional system designs
  • Assist leadership in executing "make vs. buy" strategies by leveraging Claude Code to rapidly build and deploy Minimum Viable Products (MVPs) to evaluate internal development velocity against commercial SaaS offerings
  • Develop new user interfaces, robust APIs,

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