Sr Gen AI Application Engineer

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, 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.

• 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.

• Bachelor’s degree from an accredited university or college with a minimum of 10 years of professional experience, or Associate’s degree with a minimum of 13 years of professional experience, or a High School Diploma with a minimum of 15 years of professional experience.
• Minimum 7 years of professional experience in IT.
• Military experience is considered 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 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, problem‑solving, clear and succinct communication, and effective evaluation of technical information/data for design decisions.
• Deeply interested in current and emerging technologies, staying abreast of agentic coding tools, large language models, and multimodal application development.
• Working knowledge of modern data layers, cloud architectures, and API development paradigms used to sustain rapid software…