Sr Gen AI Engineer

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 like Claude Code to execute against three core pillars: modernizing our legacy portfolio capabilities; 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.

• 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 directing and pair-programming with 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

Bachelor’s degree from accredited university or college with minimum of 2 years of professional experience OR Associates degree with minimum of 5 years of professional experience OR High School Diploma with minimum of 7 years of professional experience.

Note:

Military experience is equivalent to professional experience.

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 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…