Principal AI Enablement Partner

About the role

The Principal Applied AI Solutions Partner at GE Appliances helps the company experiment with emerging AI technologies and turn complex business problems into practical AI-enabled solutions. This role works across functions to build prototypes, shape reusable approaches, and help the business grow lasting AI capability.

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.

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.

Preferred Qualifications

• 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.