Principal Conversation Designer - Gen AI
Intuit Inc. - Mountain View, California, us, 94039Work at Intuit Inc.
Overview
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Overview
Identify and prioritize opportunities to improve customer experiences in conversational channels like chatbots and voice assistantsDevelop end-to-end designs for conversational experiences, from ideation to prototyping, to implementationBuild, review and evaluate LLM prompts and AI models to deliver Gen-AI powered conversational experiencesAccountable for quality and accuracy of GenAI responses, create and evangelize guiding principles and evaluation rubrics for high quality customer interactions in the botsMentor team members and coach on Gen AI skills to improve the team's collective expertiseServe as an expert in conversational design, applying relevant research, design patterns, and industry best practices to create intuitive and engaging experiencesOwn strategy for Conversational Design Principals, Gen-AI prompt engineering and Conversational Designer developmentDrive multiple projects with adherence to deadlines, quality and business metricsBachelor’s degree (Interaction Design, HCI, Psychology, Computer Science, or related field preferred)8 years of design experience, with at least 3-4 years of conversation design experienceStrong portfolio demonstrating expertise in prompt engineering, conversational design, developing virtual assistants, voice assistants, chatbots, or other conversational interfacesKnowledge of conversational AI, NLP tuning, language modeling and machine learning frameworks (such as NLUs, RAG databases, TensorFlow, PyTorch, or similar).Working understanding of code (html, python, xml, regex) in order to create dynamic dialog-flows using Boolean logic and decision frameworksExperience delivering AI or Gen-AI powered conversational experiences in Chatbots, voice assistants etcExceptional communication skills, both written and verbalStrong leadership skills, with a proven track record of managing stakeholders, mentoring team members and developing talentExperience in conducting user research and usability testing, experiment design and data analysis
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