This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role involves shaping the future of voice and multimodal interfaces within an innovative team. Your efforts will directly impact user experiences through the design of AI-based conversational interactions. - Lead design vision and execution for AI-based conversational and multimodal experiences, advocating usability and user-centered design principles. - Develop and promote conversation design best practice standards, reusable interactional patterns, and processes. - Deliver effective design documentation to communicate experience requirements, design principles, best practices, prototypes, and multimodal flows. - Identify opportunities for usability testing and research efforts by creating prototypes and participating in evaluation sessions. - Build strong relationships with internal stakeholders to ensure a connected end-to-end user experience. - Monitor industry trends and drivers of customer satisfaction. - Visualize experiences using storyboards, customer journeys, user flows, and prototypes to illustrate vision. - Balance user needs, technical constraints, and product objectives to craft world-class multimodal user experiences. Qualifications - 5+ years creating conversational design experiences. - Ability to combine vision with strong creative design execution. - Strong portfolio showcasing expertise, craft, aesthetics, and depth of thought. - Experience designing for Generative or Agentive AI-powered experiences. - Understanding of machine learning & natural language processing (NLP) fundamentals. - Experience incorporating research into the design process. - Ability to work independently, be organized, self-motivated, and attentive to detail. - Excellent written, visual, and verbal communication skills. - Proficient in common design tools (e.g., Figma, VoiceFlow, ProtoPie, etc.). - Demonstrated experience documenting for voice-only, voice-forward, and multimodal experiences. - Experience creating interactive prototypes for multimodal experiences (voice, sound, visuals, touch, chat, etc.). - Familiarity with platforms such as Salesforce Service Cloud, Einstein Bots, Prompt Builder, and Google Vertex AI. Benefits - Competitive salary range between $106,000 - $163,000 based on qualifications. - Bonus potential based on company performance and individual contributions. - Comprehensive health benefits including medical, dental, and vision coverage. - Flexible Spending Accounts and Health Savings Account options. - Retirement savings plan to help secure your financial future. - Paid vacation and holidays to recharge and maintain work-life balance. - Tuition assistance programs to support ongoing education and growth. - Employee assistance program for personal and professional support. - GM vehicle discounts and various other perks.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role involves shaping the future of voice and multimodal interfaces within an innovative team. Your efforts will directly impact user experiences through the design of AI-based conversational interactions. - Lead design vision and execution for AI-based conversational and multimodal experiences, advocating usability and user-centered design principles. - Develop and promote conversation design best practice standards, reusable interactional patterns, and processes. - Deliver effective design documentation to communicate experience requirements, design principles, best practices, prototypes, and multimodal flows. - Identify opportunities for usability testing and research efforts by creating prototypes and participating in evaluation sessions. - Build strong relationships with internal stakeholders to ensure a connected end-to-end user experience. - Monitor industry trends and drivers of customer satisfaction. - Visualize experiences using storyboards, customer journeys, user flows, and prototypes to illustrate vision. - Balance user needs, technical constraints, and product objectives to craft world-class multimodal user experiences. Qualifications - 5+ years creating conversational design experiences. - Ability to combine vision with strong creative design execution. - Strong portfolio showcasing expertise, craft, aesthetics, and depth of thought. - Experience designing for Generative or Agentive AI-powered experiences. - Understanding of machine learning & natural language processing (NLP) fundamentals. - Experience incorporating research into the design process. - Ability to work independently, be organized, self-motivated, and attentive to detail. - Excellent written, visual, and verbal communication skills. - Proficient in common design tools (e.g., Figma, VoiceFlow, ProtoPie, etc.). - Demonstrated experience documenting for voice-only, voice-forward, and multimodal experiences. - Experience creating interactive prototypes for multimodal experiences (voice, sound, visuals, touch, chat, etc.). - Familiarity with platforms such as Salesforce Service Cloud, Einstein Bots, Prompt Builder, and Google Vertex AI. Benefits - Competitive salary range between $106,000 - $163,000 based on qualifications. - Bonus potential based on company performance and individual contributions. - Comprehensive health benefits including medical, dental, and vision coverage. - Flexible Spending Accounts and Health Savings Account options. - Retirement savings plan to help secure your financial future. - Paid vacation and holidays to recharge and maintain work-life balance. - Tuition assistance programs to support ongoing education and growth. - Employee assistance program for personal and professional support. - GM vehicle discounts and various other perks.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role involves shaping the future of voice and multimodal interfaces within an innovative team. Your efforts will directly impact user experiences through the design of AI-based conversational interactions. - Lead design vision and execution for AI-based conversational and multimodal experiences, advocating usability and user-centered design principles. - Develop and promote conversation design best practice standards, reusable interactional patterns, and processes. - Deliver effective design documentation to communicate experience requirements, design principles, best practices, prototypes, and multimodal flows. - Identify opportunities for usability testing and research efforts by creating prototypes and participating in evaluation sessions. - Build strong relationships with internal stakeholders to ensure a connected end-to-end user experience. - Monitor industry trends and drivers of customer satisfaction. - Visualize experiences using storyboards, customer journeys, user flows, and prototypes to illustrate vision. - Balance user needs, technical constraints, and product objectives to craft world-class multimodal user experiences. Qualifications - 5+ years creating conversational design experiences. - Ability to combine vision with strong creative design execution. - Strong portfolio showcasing expertise, craft, aesthetics, and depth of thought. - Experience designing for Generative or Agentive AI-powered experiences. - Understanding of machine learning & natural language processing (NLP) fundamentals. - Experience incorporating research into the design process. - Ability to work independently, be organized, self-motivated, and attentive to detail. - Excellent written, visual, and verbal communication skills. - Proficient in common design tools (e.g., Figma, VoiceFlow, ProtoPie, etc.). - Demonstrated experience documenting for voice-only, voice-forward, and multimodal experiences. - Experience creating interactive prototypes for multimodal experiences (voice, sound, visuals, touch, chat, etc.). - Familiarity with platforms such as Salesforce Service Cloud, Einstein Bots, Prompt Builder, and Google Vertex AI. Benefits - Competitive salary range between $106,000 - $163,000 based on qualifications. - Bonus potential based on company performance and individual contributions. - Comprehensive health benefits including medical, dental, and vision coverage. - Flexible Spending Accounts and Health Savings Account options. - Retirement savings plan to help secure your financial future. - Paid vacation and holidays to recharge and maintain work-life balance. - Tuition assistance programs to support ongoing education and growth. - Employee assistance program for personal and professional support. - GM vehicle discounts and various other perks.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role offers an exciting opportunity for an experienced AI professional to share their expertise with a global community of learners in a live, interactive online environment. As a part-time instructor, you will guide professionals through the design, development, and deployment of Agentic AI systems while demonstrating how these technologies can solve real-world challenges. The position blends technical instruction with practical mentorship, helping learners build and deploy AI-driven solutions using modern frameworks and automation tools. - Deliver engaging live online classes covering Agentic AI concepts, frameworks, and real-world applications in an instructor-led format - Teach learners how to design, develop, and deploy AI agents and multi-agent systems using modern frameworks and tools - Facilitate hands-on coding labs and practical exercises using Python and agent-based AI technologies - Guide learners through projects and capstone assignments that simulate real-world AI implementation scenarios - Provide timely and constructive feedback on student work, assessments, and project deliverables - Support student progress through mentorship, office hours, and ongoing communication to address learning challenges - Encourage collaborative learning by fostering an inclusive and professional classroom environment - Share industry insights and best practices to connect theoretical concepts with practical implementation Qualifications - 7+ years of professional experience in Artificial Intelligence, Machine Learning, or Data Science with hands-on AI development experience - Strong knowledge of Agentic AI concepts, multi-agent ecosystems, and emerging AI frameworks - Hands-on experience with frameworks such as CrewAI, AutoGen, and LangChain - Proficiency in Python and experience leading practical coding labs or technical training sessions - Experience deploying AI solutions in production environments and understanding scalability challenges - Familiarity with Generative AI, machine learning, deep learning, NLP, or computer vision concepts - Experience teaching or mentoring technical professionals or adult learners in a training or educational environment - Knowledge of no-code or low-code automation tools such as n8n, Zapier, or Make.com is a plus - Strong communication, presentation, and interpersonal skills with the ability to simplify complex technical topics Benefits - Competitive hourly compensation starting at approximately $60 per hour based on experience and expertise - Flexible part-time schedule with an expected commitment of 8–12 hours per week - Fully remote teaching environment with live virtual classes - Opportunity to work with global learners and professionals seeking advanced AI skills - Hands-on engagement with cutting-edge AI technologies and frameworks - Professional networking and collaboration within the AI and technology education ecosystem - Opportunity to share industry expertise while mentoring the next generation of AI professionals