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Posted Sep 04

Senior Conversational Designer

Remote (US) Full time

Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.

What We're Looking For:


Conversational AI Projects:
  • Proven track record of managing and delivering successful conversational AI projects in a large enterprise setting.
  • Experience working with cross-functional teams to integrate conversational AI solutions with existing systems and workflows.
User-Centered Design:
  • Strong background in user-centered design principles, ensuring that conversational AI solutions are tailored to the end-users’ needs.
Performance Analysis:  
  • Proficiency in analyzing the performance of conversational AI solutions, using metrics and feedback to drive continuous improvement.
Conversational AI Design:
  • Extensive experience in designing and implementing conversational AI solutions for both voice and chat platforms.
  • Proficiency with AWS Lex, Bedrock, and other related AI/ML tools for building advanced conversational interfaces.
Audit and Optimization:
  • Ability to audit existing conversational flows and bots, identifying areas for improvement and optimization.
  • Experience in evaluating AI-driven solutions for various business units, ensuring they meet specific use case requirements.
Design and Intent Creation:
  • Expertise in creating comprehensive and effective conversational designs, including defining intents, utterances, and slot types.
  • Ability to design intuitive and user-friendly conversational experiences that align with business objectives and user needs.
Computational Linguistics:
  • Strong background in computational linguistics, with an understanding of language structure, syntax, and grammar.
Semantic Analysis:
  • Proficiency in semantic analysis techniques to improve the understanding and accuracy of conversational AI models


Nice to Have Skills: 


Natural Language Processing (NLP): 
  • Strong understanding of NLP concepts and techniques, with experience in developing and optimizing NLP models for conversational AI.
Data Analysis and Machine Learning:
  •  Proficiency in data analysis and machine learning, with the ability to leverage these skills to improve conversational AI performance.
Prototyping and Testing:
  •  Experience in prototyping and testing conversational AI solutions, ensuring they meet quality standards and user expectations.
Continuous Improvement:
  • Commitment to continuous improvement, staying up-to-date with the latest advancements in conversational AI and integrating new technologies as appropriate.



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