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)
• Minimum of 3 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.

The base pay range for this position is $95,000-140,000. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set. This position is also eligible for an annual discretionary bonus based on a percentage of your base salary/ commission based on the plan. This posting is expected to close on June 17th, 2026.

GE Aerospace offers comprehensive benefits and programs to support your health and, along with programs like HealthAhead, your physical, emotional, financial and social wellbeing. Healthcare benefits include medical, dental, vision, and prescription drug coverage; access to a Health Coach from GE Aerospace; and the Employee Assistance Program, which provides 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Aerospace Retirement Savings Plan, a 401(k) savings plan 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. ​