Principal AI Enablement Partner

GE Appliances•Louisville, KY

17h•Hybrid

About The Position

The Principal Applied AI Solutions Partner helps GE Appliances experiment with emerging AI technologies and turn complex business problems into practical AI-enabled solutions. This principal-level individual contributor works across functions to build prototypes, shape reusable approaches, and help the business grow lasting AI capability. This is a hands-on builder role with broader enterprise influence. Success is measured not only by what this role builds, but by how effectively it helps functions redesign work, adopt repeatable AI-enabled practices, and learn how to extend solutions over time. About the AI Lab: The GE Appliances AI Lab helps the company become a frontier firm by learning and experimenting faster than the market. The Lab tests emerging AI capabilities against real business problems, rapidly builds working prototypes, and converts what it learns into reusable technologies, methods, and capabilities that functions can adopt.

Requirements

Bachelor’s degree in a relevant field or equivalent practical experience.
7+ years of experience in software engineering, data engineering, automation, analytics engineering, AI/ML, digital product development, digital transformation, or related applied problem-solving work.
Experience building prototypes or internal solutions using AI, automation, analytics, or data-driven technologies.
Experience integrating workflows, systems, or data using APIs, scripts, automation tools, or similar methods.
Experience applying generative AI, LLMs, prompt engineering, RAG, embeddings, or AI-assisted application development in practical business settings.
Strong problem-solving skills, including the ability to work through ambiguous and complex cross-functional challenges.
Strong communication and influencing skills with the ability to explain technical concepts clearly to business users, subject matter experts, and leaders.
Curiosity, ownership, and the ability to learn new tools and methods quickly.

Nice To Haves

Strong hands-on experience with Python, SQL, cloud platforms, and modern prototyping tools; GCP experience preferred.
Experience with n8n, BigQuery, Vertex AI, Streamlit, Tableau, GitHub, or similar platforms.
Experience building workflow automations, internal productivity tools, knowledge tools, or decision-support solutions.
Experience building end-to-end AI agents.
Experience working across manufacturing, supply chain, commercial, service, engineering, finance, HR, or other enterprise functions.
Experience supporting workshops, training, hackathons, capability-building programs, or cross-functional change efforts.
Familiarity with testing, documentation, version control, and iterative release practices.
Understanding of responsible AI, privacy, cybersecurity, data governance, and enterprise software standards.

Responsibilities

Lead hands-on experimentation with AI tools, models, automation platforms, agents, and development methods.
Translate ambiguous business needs into practical prototypes, workflows, automations, and lightweight applications.
Partner across functions to identify high-value AI opportunities and shape solutions that improve productivity, quality, knowledge access, decision making, or employee experience.
Guide testing, feedback, iteration, and evaluation of prototypes, including what should be reused, refined, or scaled.
Create reusable playbooks, patterns, examples, and learning assets that can be adapted across teams and functions.
Coach teams on use case identification, workflow redesign, in-house platform, prompting, output validation, and practical AI adoption.
Experiment with AI Frontier products and technologies.
Work closely with Digital Technology and the AI Platform team to ensure prototypes align with approved tools, data practices, and potential production pathways.
Help define and track business impact, adoption, capability growth, and responsible AI practices across AI Lab initiatives.