Principal Designer, AI Experience

Full Job Description

​Learn how people work today: what they are trying to get done, what they have to keep track of, where they hesitate, and what they do when a tool does not fit. Then design better ways for them to work with agents and the AI capability around them. This includes permissions, consent, delegation, revocation, and clear limits on what an agent may do and on whose behalf. Design so that people can see when an agent is at work and decide for themselves how far to rely on it. This covers how an agent announces itself and its work, how uncertainty is expressed, when escalation happens and when it does not, and what a review step must show for a person to be able to disagree with it. Design for supervision of the system while it is running. Someone overseeing several agents needs to work out which agent is doing what, why it did it, what it depends on, how far it has got, and when to step in. Design for the days it goes wrong. This covers override, rollback, correction, and how someone keeps working when a system is down or confidently mistaken. Set the quality bar for experiences and prove it with users. Included in this is task success, whether people could follow what happened, whether they could recover, and whether they are better off than before. Design how we see the estate as it grows. This covers what exists, what is being used, what is delivering value, and what has become redundant, through the catalogue, marketplace and measurement surfaces that make those judgements possible. Master's or Bachelors Degree in Industrial Design, Product Design, Human Computer Interaction, User Experience, Interaction Design, or related field AND significant years experience working in product or service design OR equivalent experience (e.g., demonstrated experience working in product or service design or using design thinking to solve problems). Experience in product or service design, in an in-house or consultancy setting, with demonstrable depth in agentic or AI-enabled systems. We are looking for evidence of craft applied at a systems level rather than to individual screens. Hands-on experience designing systems that act on a user's behalf, and a view formed from that experience about how much autonomy to grant and when to withhold it. The judgement to choose the right research method for the question in front of you, qualitative or quantitative, and to know when a method will not answer it. Comfort with responsible AI principles and experience designing for safe uses of AI. Prototyping that goes past static screens and comfort with evaluation. Strong cross-disciplinary collaborator, able to influence and align across design, engineering, data science and product while holding the line on experience quality.

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