Lead Conversational Designer - Agentic Experiences

Role Overview

Build & Evolve AI Behavior Systems. Design and refine conversation response patterns that govern how AI agents interpret, respond, and act. Develop and extend ontologies and structured content systems that enable scalable, consistent AI behavior. Translate brand voice, policy, and UX principles into machine-interpretable frameworks. Design for Trust, Safety, and Transparency: Build patterns that make AI behavior explainable, predictable, and controllable. Define how agents operate across a spectrum of autonomy from suggesting, confirming to acting on the user’s behalf. Design for complex scenarios involving trust, compliance, and human-in-the-loop decision making.
Qualifications

7+ years of experience designing conversational or AI-driven systems, with strength in structured content or interaction models
Demonstrated ability to translate ambiguous problems into scalable systems or frameworks
Portfolio showing end-to-end work, including systems thinking and shipped outcomes
Comfort working with structured data, schemas, or content models
Experience working with LLM-powered or agentic systems
Familiarity with tools such as Dialogflow, Rasa, Voiceflow, or similar
Experience collaborating closely with engineering on system implementation
Background in HCI, linguistics, UX, or related fields

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