Sr Staff Gen AI Application Engineer

GE Aerospace

About The Position

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.

Requirements

Bachelor’s degree from accredited university or college with minimum of 10 years of professional experience OR Associates degree with minimum of 13 years of professional experience OR High School Diploma with minimum of 15 years of professional experience
Minimum 7 years of professional experience in IT
Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job.
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)).

Nice To Haves

Demonstrated ability to quickly understand new software architectures and analyze systemic code challenges within a fast-moving, agentic development loop
Passionate about application security, secure coding guardrails, prompt defense, and the operational stability of new software
Organized, thorough, and detail-oriented, especially when managing automated telemetry and system verification tests
Collaborates well with others to solve complex software engineering problems and actively incorporates input from both human teammates and AI development agents
Eager to learn, shares creative ideas, encourages open experimentation, and accepts feedback well in a fast-paced technology landscape
Strong analytical skills – strong problem-solving skills, communicates in a clear and succinct manner, and effectively evaluates technical information/data to make design decisions; anticipates obstacles and develops plans to resolve them
Deeply interested in current and emerging technologies, keeping a pulse on the state-of-the-art in agentic coding tools, large language models, and multi-modal application development
Working knowledge of modern data layers, cloud architectures, and API development paradigms used to sustain rapid software generation
Demonstrated customer focus – evaluates application decisions through the eyes of the end-user; builds strong internal relationships and prioritizes clean UI/UX processes
High level of energy and enthusiasm, with the ability to thrive in a dynamic, fast-paced setting focused on organizational transformation
Experience operating within modern developer setups and orchestrating cloud environments
Experience deploying, scaling, and maintaining net-new production software applications in an enterprise environment
Experience with modern git workflows, automated CI/CD deployment pipelines, and version control management

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, and web experiences optimized for modern, cloud-native deployments
Develop application enhancements and functional modules within new codebases, utilizing advanced context windows and automated validation loops
Write technical specifications, design system blueprints, and structured engineering documentation tailored for AI ingestion and future code iteration
Document system architecture changes, code repository structures, and successful agentic prompting patterns to scale institutional knowledge
Review AI-generated technical designs and code commits to ensure strict compliance with GE Aerospace engineering, safety, and security guardrails
Train, mentor, and actively upskill team members on how to effectively utilize Claude Code and agentic workflows