This is a hands-on, senior individual-contributor role: you'll shape our AI application strategy, build front-end and back-end services, embed AI features into production products, and create new products to solve our hardest problems. You'll partner with our BI developers and platform architect, and lead our junior software engineers to deliver high-quality solutions our business stakeholders can count on.Job Description
Roles and Responsibilities:
Application Development & Delivery
- Design, build, and maintain full-stack applications and services across the full software lifecycle: requirements, implementation, testing, documentation, and production support
- Build responsive front ends and back-end services deployed to the cloud
- Optimize application performance so applications and monitor applications for errors, latency, and usage; own alerting, incident response, and root-cause analysis
AI-Powered Features
- Embed AI into applications with natural-language queries, predictive insights, recommendations, and conversational interfaces
- Ground AI features in knowledge graphs and ontologies that model the domain and enable semantic search and reasoning over operational data
- Build and expose reusable AI capabilities via MCP servers that applications and agents can call
- Integrate machine-learning models and LLM APIs into production applications to enhance insights and decision-making
- Build agentic workflows that trigger actions and update records, with human approval and audit logging
- Partner with junior engineers to move models from experiment to reliable, production-grade features
Technical Standards & Code Quality
- Set and enforce application coding standards, design patterns, and engineering best practices across the team
- Serve as senior reviewer for application code correctness, performance, security, and maintainability
- Establish CI/CD, automated testing, and version-control workflows for application development
- Build reusable components, templates, and utilities that accelerate development across the team
Technical Leadership & Mentorship
- Mentor and coach junior software engineers and BI developers
- Translate ambiguous business problems into project plans and application work
- Partner with BI leadership on the application roadmap and with stakeholders on requirements and priorities
- Lead application projects of moderate to high complexity, guiding others and influencing technical direction
Required Qualifications:
- Bachelor's degree in Computer Science, Software Engineering, or a related technical field from an accredited university or college
- Minimum of 8 years of hands-on experience building and shipping full-stack applications to production
Desired Characteristics:
- Master's degree in a related field from an accredited university or college
Technical Expertise
- Full-Stack Development: Strong across modern front-end and back-end technologies; builds and owns applications end to end
- AI Integration: Experience embedding ML models, LLM APIs, and agentic workflows into production applications
- MCP & Tool Interfaces: Builds MCP servers or equivalent tool interfaces that applications and agents call in production
- Knowledge Graphs & Ontologies: Models domain knowledge as graphs and ontologies to ground AI, power semantic search, and enable reasoning over connected data
- Cloud & Data Platforms: Familiar with cloud application hosting and modern data platforms (Databricks, AWS, Snowflake, or similar)
- Engineering Fundamentals: Git, CI/CD, automated testing, code review, and secure-by-default practices
Domain & Problem-Solving
- Breaks ambiguous business problems into clear, shippable increments and validates assumptions with users
- Debugs across the stack—front end, API, database, and integrations
- Weighs trade-offs (build vs. buy, batch vs. real-time, speed vs. reliability) with clear reasoning
- Experience in supply chain, manufacturing, maintenance, or similar operational domains is a strong plus
Collaboration & Communication
- Strong communication skills: Explains technical concepts and trade-offs to technical and non-technical audiences
- Effective collaborator: Works seamlessly with BI developers, data and AI/ML engineers, and business stakeholders
- Leads by influence: Drives technical direction through evidence and example rather than authority
Personal Attributes
- Player-coach: Balances hands-on building with mentoring and code review; takes on the hardest problems
- Quality-focused: Builds reliability, security, and testing in from the start
- Ownership: Drives applications from design through deployment and continuous improvement
The base pay range for this position is $152,000-202,000. 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 October 2nd, 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 will require in-person attendance for New Hire Orientation on Day 1.
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, Software Engineering, or a related technical field
- At least 8 years of hands-on experience building and shipping full-stack applications to production
- Strong full-stack development experience across modern front-end and back-end technologies
- Experience embedding machine-learning models, LLM APIs, and agentic workflows into production applications
- Experience building MCP servers or equivalent tool interfaces for applications and agents
- Experience modeling domain knowledge with knowledge graphs and ontologies
- Familiarity with cloud application hosting and modern data platforms such as Databricks, AWS, or Snowflake
- Experience with Git, CI/CD, automated testing, code review, and secure-by-default practices
- Master's degree in a related field
- Experience in supply chain, manufacturing, maintenance, or similar operational domains
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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