Sr Staff Gen AI Application Engineer

GE Aerospace; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

GE Aerospace seeks an experienced software engineer to architect and deliver scalable enterprise applications with Claude Code and agentic workflows. You will evaluate legacy systems, design modular AI-enabled software, and drive MVPs through rapid prototyping while ensuring security and operational reliability.

You will collaborate across business units to translate software needs into robust system designs, mentor teammates, and uphold GE Aerospace engineering guardrails in a fast-moving AI

Qualifications

• Formal software engineering education or equivalent experience.
• Experience designing and delivering scalable enterprise software.
• Familiarity with AI/ML development tooling and cloud-native architectures.

Responsibilities

• Architect sound, maintainable technical solutions for new software apps built with Claude Code.
• Evaluate legacy systems to determine capabilities for replacements using generative tools.
• Code modular applications using Claude Code and agentic frameworks.
• Provide support and continuous improvement of AI-generated codebases and deployment pipelines.
• Collaborate with business units to translate needs into system designs and MVPs.

Skills

Agentic AI

Software architecture

Cloud-native

Security focus

Mentoring

Rapid prototyping

Collaboration

Education

Bachelor's degree in software engineering or related field

Associates degree + 8 years experience

High School Diploma + 10 years experience

Job description

Job Description Summary

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.

Job Description

Roles and Responsibilities

In this role, you will:

• 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

Education Qualification

Bachelor's degree from accredited university or college with minimum of 5 years of professional experience OR Associates degree with minimum of 8 years of professional experience OR High School Diploma with minimum of 10 years of professional experienceMinimum 5 years of professional experience in software engineeringNote: Military experience is equivalent to professional experience

Eligibility Requirement:

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.

Desired Characteristics

• 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