yoinka

Conversational AI Designer

Guardian Life

New York, NYFull TimeMid
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Location
New York, NY
Employment
Full Time
Work model
On-Site
Level
Mid
Posted

Skills

AgileAndroidFigmaGenAIJiraLLMNLPSalesforce

About this role

Conversational AI Designer  Position Summary     Do you want to be part of a collaborative User Experience and Conversational AI team helping to shape the future of consumer experience? As a Conversational AI Designer, you will help design and build omnichannel conversational experiences for our digital customers, including interactions for intelligent virtual assistants and chatbots. In this role, you will contribute to conversational design work under the guidance of senior designers while partnering with product, technology, research, and business teams to deliver clear, useful, and customer-centered experiences.    You are  A Conversational AI Designer with related, applicable experience in designing conversational AI assistants, AI agents, chatbots, and/or digital self-service experiencesf or customer-facing journeys.    We expect to see your passion for creating engaging and intuitive customer experiences, along with your ability to simplify complex topics into clear conversational interactions. To be successful in this role, you will demonstrate a solid understanding of user experience practices and conversational design principles, with the ability to apply those principles to real customer problems. You can work effectively with cross-functional partners to support the development and improvement of data-driven and AI-enabled digital assistants across products and services. You should be comfortable communicating ideas clearly, asking thoughtful questions, taking feedback, and managing assigned design work with appropriate guidance.    You have   Required: Three or more (3+) years of previous experience as a Conversational Designer or Experience Designer of AI tools/platforms   One or more (1+) years of professional experience working with chatbots, agents, virtual assistants, voice assistants, or similar digital self-service experiences  Experience with to IVR, speech recognition, or other multimodal conversational channels is a plus  Knowledge of conversational AI technologies and dataset elements, including LLM, NLU, NLP, ML, utterances, prompts, intents, entities, and annotations  Experience with Generative AI technologies, large language models, prompt design, and emerging AI capabilities  Comfortable with working with complex data sets and working with APIs  Experience with, conversational AI and digital assistant platforms such as Sierra, Google Dialogflow, IBM Watson, Rasa, Kore.ai, Salesforce Agentforce, Microsoft Copilot Studio or similar tools  Ability to use design and documentation tools including Voiceflow, Adobe Suite, Figma, diagramming apps, Microsoft 365 suite, and Jira  Knowledge  for applying omnichannel design practices and customer touchpoints including websites, mobile apps, IVR/telephony, SMS, Apple iOS, Google Android, and voice assistant devices  Experience working in Agile teams and collaborating within iterative product development environments  Familiarity with Design Thinking methodology  A background in user experience design, customer service, content management, brand and marketing, product design, UX writing, or NLP data science    You will  Create conversational dialog designs, prompts, scripts, and interaction flows for human-machine conversations with guidance from senior design partners  Work closely with product teams and business partners to support the planning, design, optimization, and delivery of virtual assistants in an agile development environment  Partner with developers and technology teams by applying a working understanding of conversational AI platforms, design requirements, and implementation constraints  Apply user-centered design methods to iterate through concepts that can be tested and validated with users  Use data, analytics, and user feedback to inform design recommendations and improve conversational experiences  Apply human-centered design approaches to frame problems, identify patterns, explore opportunities, and

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