Job Description Summary GE Aerospace Defense & Systems is seeking a Senior AI/ML Engineer to join our Emerging Technologies team in Grand Rapids, Michigan. In this role, you will help shape how large language models (LLMs) and generative AI are applied across the software development lifecycle for mission-critical avionics and defense systems. You will work on a cross-functional team focused on building secure, trustworthy, and practical AI-enabled tools that improve how engineers write code, generate tests, verify requirements, review changes, and create technical documentation. This is an opportunity to turn emerging AI capabilities into real engineering productivity gains in an environment where safety, security, quality, and rigor matter deeply. The ideal candidate brings a strong foundation in software engineering and machine learning, hands-on experience building LLM-powered applications, and the judgment to deploy AI responsibly in highly regulated, security-sensitive environments. This role requires the successful candidate to maintain a US Government Security Clearance; prerequisite for a security clearance is U.S. Citizenship. Active Security Clearance. Job Description Design, build, and deploy LLM-powered tools that support software development activities such as code generation, code review, debugging, refactoring, automated test creation, and documentation. Develop retrieval-augmented generation (RAG) pipelines that ground model outputs in internal engineering artifacts including codebases, requirements, design documentation, standards, and domain knowledge. Create agentic workflows that interact with engineering toolchains such as compilers, static analyzers, test frameworks, version control systems, and issue-tracking platforms. Evaluate and select models based on performance, cost, latency, licensing, and security requirements. Apply techniques such as prompt engineering, fine-tuning, and parameter-efficient adaptation to improve model usefulness for aerospace and embedded software use cases. Optimize model deployment for secure, on-premises, air-gapped, and classified environments. Integrate AI capabilities into developer workflows, including IDE experiences, CI/CD pipelines, merge-request checks, and software quality processes. Establish evaluation methods, benchmarks, and guardrails to measure and improve accuracy, security, reliability, and usability. Help ensure AI-assisted outputs support software assurance, traceability, and human accountability in certified software environments. Partner closely with software, systems, test, cybersecurity, and business teams to identify high-value use cases and transition solutions into broader engineering adoption. Mentor others, share best practices, and help define how GE Aerospace scales the use of generative AI in engineering. Required Qualifications Bachelor’s degree in Computer Science, Software Engineering, or related STEM field. 5+ years of experience in software engineering, machine learning engineering, or a closely related technical field. Hands-on experience developing software solutions in production or operational environments. This role requires the successful candidate to maintain a US Government Security Clearance; prerequisite for a security clearance is U.S. Citizenship. Active Security Clearance. Willingness to work onsite in Grand Rapids, MI - Corporate relocation assistance provided. Preferred Qualifications: Master’s degree in Computer Science, Machine Learning, or related field. Experience building and deploying LLM-based applications such as RAG systems, AI coding assistants, copilots, or agent-based workflows. Strong programming skills in Python, with experience using modern ML/LLM frameworks such as PyTorch, Hugging Face Transformers, LangChain, or LlamaIndex. Working knowledge of C/C++ and embedded software development environments. Experience with vector databases, embeddings, and search technologies. Familiarity with fine-tuning, quantization, and efficient inference serving for production-scale LLM systems. Experience integrating AI capabilities into DevSecOps and software engineering workflows. Background in aerospace, defense, medical, automotive, or other mission-critical industries. Familiarity with software assurance or certification considerations such as DO-178C, MISRA, or CERT C/C++. Knowledge of AI security, data governance, and responsible AI practices. Experience deploying solutions in secure, disconnected, or classified environments. Strong problem-solving, communication, and collaboration skills. The base pay range for this position is $130,000.00-$173,000.00 USD Annually. 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 12/30/26. 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. #LI-KS1 #securityclearance 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 GE 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: Yes At GE Aerospace, we invent the future of flight, lift people up, and bring them home safely. We are a world-leading provider of jet engines, components, and integrated systems for commercial and military aircraft. At GE Aerospace, respect for people is core to our culture and commitment to FLIGHT DECK, our proprietary lean operating model. We attract, develop, and retain industry-leading talent from all backgrounds and cultivate communities where people are respected and empowered to reach their fullest potential. For the people of GE Aerospace, their work isn't just a job. It's their passion and purpose. We work and win as one team, accountable to each other and our customers, and we are always finding a better way to climb higher together. We were meant to fly.

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