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 July 27th, 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.
GE Aerospace (General Electric Company or the Company) and its 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 InformationGE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Employees may also be subject to random and reasonable-suspicion drug and alcohol testing.
Relocation Assistance Provided: No
Skills Required
- Bachelor's Degree in Computer Science or STEM major
- Minimum of 3 years AI/ML engineering experience
- Must be legally authorized to work in the United States / U.S. Person status (export-controlled access)
- Provide a valid LinkedIn profile
- Proven Full Stack engineering experience with AI/ML background
- Experience using AWS tools to design and build AI-driven systems
- Experience building prototype-level data pipelines for model training, evaluation, and review
- Proficiency in Python, JupyterHub, GitHub, Visual Studio
- Exposure to designing and building agentic workflows or multi-agent systems
- Familiarity with orchestration frameworks (e.g., LangChain, AutoGen, CrewAI)
- Solid understanding of AI/ML concepts, including LLMs and prompt engineering
- Experience with cloud platforms (AWS, Azure, GCP), containerization (Docker, Kubernetes), and solution architecture
- Experience applying AI/ML techniques to real-world problems and optimizing model performance in production
- Ability to interact with customers and provide technical support
- Ability to navigate ambiguous and complex challenges
GE Aerospace Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about GE Aerospace and has not been reviewed or approved by GE Aerospace.
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Healthcare Strength — Health coverage spans medical, dental, vision, prescription drugs, behavioral health support, and some on‑site healthcare options. Wellbeing programs emphasize physical, emotional, and social support and are often characterized as part of a top‑notch package.
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Retirement Support — Retirement programs include a 401(k) with company contributions, long‑term financial planning tools, and vesting provisions. Legacy pension benefits remain for eligible employees despite the plan being frozen.
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Leave & Time Off Breadth — Time‑off offerings include paid vacation, holidays, sick time, personal days, and flexible work arrangements, with permissive PTO noted for some salaried roles. Family support includes generous parental leave and adoption assistance.
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