Sr Generative - Conversational AI Designer

Elsevier employs 9,200 people worldwide, including over 2,500 technologists. We have supported the work of our research and health partners for more than 140 years. Growing from our roots in publishing, we offer knowledge and valuable analytics that help our users make breakthroughs and drive societal progress. Digital solutions such as ScienceDirect, Scopus, SciVal, ClinicalKey and Sherpath support strategic research management, R&D performance, clinical decision support, medical education, and nursing education.

With the increased development of Generative AI solutions at Elsevier, there is a need for a conversational designer to support AI projects and develop the capabilities in-house.

Elsevier continues to build an innovative team across the globe to develop next generation experiences for Physicians, Nurses, and other Health Care professionals. We are now seeking a Senior Conversational AI Designer to join a team of 50+ UX designers and UX researchers. This role is ideal for someone who has a strong interest in conversational AI technologies and is passionate about creating intuitive, user-friendly experiences for medical professionals.

Requirements:

• Able to demonstrate current experience in designing for Conversational Generative AI experiences.
• Experience with prompt engineering and prompt chaining
• Knowledge of the fundamentals of conversation, e.g., turn-taking, cognitive load, pragmatics
• Strong technical aptitude - comfortable learning new software products
• Knowledge of Agile, Design Thinking, and user-centered design processes.
• Has hands-on experience working with large language models and designing the interaction for them.
• Exhibits a keen interest in AI safety and ethics.
• Is driven to revolutionize and positively impact how people interact with computers.
• Solid understanding of cognitive factors influencing user behavior

Responsibilities:

• As a Conversational AI Designer, you will design new conversational AI experiences or enhance existing ones, focusing on improving the interaction patterns between users and conversational AI agents.
• Optimize conversational agent responses to meet user expectations for length and information presentation
• Use behavioral science principles to design mechanisms that nudge user behavior toward better outcomes.
• Prototype conversational experiences and validate them with users to help communicate concepts before they are developed
• Track performance of Conversational AI agents using qualitative and quantitative data. Turn insights into opportunities to improve the experience.
• Work closely with Product Managers and Data Scientists to optimize large language models in an agile development environment.
• Drive the creation and take ownership of Elsevier’s Conversational AI design Framework, documenting standards, processes and methods
• Be an advocate for the Conversational AI Design community of practice and communicate the value of Conversational AI Design to stakeholders
• Guide other UX practitioners who wish to learn the craft of Conversational AI Design