$ cat jobs/ai-ux-interaction-designer-ge-vernova-d156c7efe9b0.json
AI-UX Interaction Designer
Job Description Summary Creates measurable business and customer value by defining and designing product, system, and service experiences grounded in human behavior, data, and business strategy. This role operates as a UX Interaction Designer who shapes what problems to solve and why-while guiding solution direction across cross-functional teams in complex, enterprise environments. Leverages modern UX practices, including AI-assisted research, design generation, conversational interfaces, and insight synthesis, to accelerate decision-making and improve outcomes. Drives alignment between user needs, business objectives, and technical feasibility across system-level experiences. Impacts the organization's ability to deliver high-quality, outcome-driven products with speed and precision, operating with strong judgment in ambiguous and high-stakes contexts. Job Description Design Strategy & Problem Framing Define and frame high-value customer and business problems using qualitative and quantitative research, analytics, and stakeholder input Lead discovery efforts to uncover unmet needs, operational inefficiencies, and opportunity areas within complex systems Translate ambiguous problem spaces into clear opportunity areas, design principles, and measurable outcomes AI-Enabled UX & Productive AI Leverage AI tools (e.g., generative AI, research synthesis tools, design copilots) Thoughtfully integrate AI into end-to-end design workflows (e.g., research synthesis, prototyping, concept generation) to drive speed, innovation, and decision quality Apply human-AI interaction principles to ensure transparency, usability, and trust in AI-powered experiences Conversational & Interaction Design Design and deliver NLQ (Natural Language Query) and chat-based interfaces, including context-aware, multi-turn conversational experiences Define interaction models for AI systems that balance automation, user control, and explainability Ensure conversational patterns are intuitive, scalable,