GE Appliances

Software Engineering Co-op for Summer 2027 offering hands-on experience on technical projects at GE Appliances in Louisville, Kentucky. Students will work with mentors across areas such as software development, modeling and simulation, product improvement, and advanced development.

The Senior AI Enablement Partner helps GE Appliances turn business problems into practical AI workflows, automations, prototypes, and reusable tools. This hands-on role also drives user testing, training, and adoption across enterprise functions.

Build practical AI-enabled prototypes, automations, agents, and lightweight applications that help GE Appliances functions improve productivity and decision-making. This principal-level individual contributor also creates reusable AI practices and helps teams adopt and extend solutions.

Lead hands-on applied AI engineering in GE Appliances’ AI Lab, turning emerging AI capabilities and complex business problems into prototypes, agents, workflows, and reusable enterprise solutions. The role combines technical ownership with cross-functional influence and practical AI adoption.

Software Engineering Co-op students will gain hands-on experience delivering technical projects at GE Appliances while working with a mentor in Louisville, Kentucky. The Fall 2027 rotation runs from August 16 through December 10, 2027.

Lead the development of AI-powered contact center agents that support customer engagement, transactions, and troubleshooting across voice, chat, and messaging. This hands-on principal role combines conversational AI, LLM applications, enterprise integrations, and technical leadership.

Senior Applied AI Engineer building and optimizing conversational AI agents for GE Appliances’ customer contact center, including transactional workflows such as order management, repair scheduling, and warranty claims. The role combines hands-on AI agent development, backend integrations, production support, and cross-functional technical leadership.

Senior AI Engineer building and operating secure, scalable backend platform services for enterprise AI agents and applications. The role combines Python backend engineering, cloud infrastructure, observability, and technical mentorship.