Job Description Summary

This role is a hybrid between an AI engineer, data scientist, and software developer, designed for someone who can operate across the full lifecycle of AI system development. You’ll play a key role in defining, developing, and evolving software in an agile environment. You’ll work across the stack, from crafting intuitive front-end interfaces to building robust back-end services, all while collaborating with a team of talented engineers. You will also have the opportunity to research and apply AI-driven solutions to enhance product functionality and user experience, making a direct impact on the future of flight.

Job Description

Key Responsibilities:

• Design, build, and maintain agentic workflows and autonomous systems
• Develop and integrate AI models into production-grade applications
• Collaborate with cross-functional teams to gather requirements and deliver AI-driven solutions
• Implement orchestration logic for multi-agent systems and task automation
• Write clean, scalable, and maintainable code in support of AI initiatives
• Monitor and optimize the performance of AI systems in production
• Stay current with advancements in AI, LLMs, and agentic architectures

Minimum Required Qualifications:

• Bachelor's Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) with advanced experience and a minimum of 3 years in AI/ML engineering experience.
• OR a high school diploma / GED with a minimum of 7 years in AI/ML engineering experience
• GE Aerospace will not sponsor individuals for employment visas, now or in the future, for this job opening.

Preferred Skills and Qualifications:

• Provide a valid LinkedIn profile.
• This role is a hybrid between an AI engineer, data scientist, and software developer, designed for someone who can operate across the full lifecycle of AI system development.
• Proven experience as a Full Stack Engineer with AI/ML background
• The work involves using AWS tools to design and build AI-driven systems — not just training or fine-tuning models, but also crafting effective prompts, validating model performance through data analysis, and managing risks like hallucinations or bias.
• The role requires building prototype-level data pipelines that move data to and from models for training, evaluation, and review.
• Strong software development skills with proficiency in Python, JupyterHub, GitHub, Visual Studio, etc.
• Exposure to designing and building agentic workflows or multi-agent systems.
• Familiarity with orchestration frameworks (e.g., LangChain, AutoGen, CrewAI, or similar)
• Solid understanding of AI/ML concepts, including LLMs and prompt engineering
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization (Docker, Kubernetes) and in solution architecture.
• Ability to navigate ambiguous/complex challenges.
• Experience applying AI/ML techniques to solve real-world problems.
• Ability to interact with customers, understand their needs, and provide technical support.

Healthcare benefits include medical, dental, vision, and prescription drug coverage; access to a Health Coach, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability insurance, life insurance, and paid time-off for vacation or illness.

General Electric Company, Ropcor, Inc., their successors, and in some cases their affiliates, each sponsor certain employee benefit plans or programs (i.e., is a “Sponsor”). Each Sponsor reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a Sponsor’s welfare benefit plan or program. This document does not create a contract of employment with any individual.

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)).

Additional Information

#LI-Remote - This is a remote position