Conversational AI Designer

Title: Conversational AI Designer – Agentic Experience Design Location: Belgium (Hybrid – 2 days/week onsite) Languages: English + Dutch and/or French Design the next generation of intelligent assistants — agents that don't just respond, but act: proactive, autonomous, and deeply helpful. This role sits at the crossroads of UX, AI, and product. You'll shape how users interact with AI-powered agents in complex enterprise environments. What you'll do Agentic Experience Design Design goal-based conversational journeys that enable autonomous task completion, proactive support, and self-service. Structure modular, reusable conversational components that adapt to user behavior, intent, and enterprise workflows. Define escalation logic, fallback strategies, and smooth handovers between agents, humans, and backend systems. AI Integration & Collaboration Work closely with NLP/NLU engineers to improve intent recognition, classification, and response quality across channels. Use AI tools (e.g. Dialogflow, Rasa, Azure Bot Framework, LangChain, custom LLM frameworks) to build conversations with context-awareness and memory. Leverage data from past interactions (analytics, heatmaps, feedback loops) to continuously improve agent performance and personalization. Strategy & Governance Establish tone of voice, bot personality, and ethical guidelines for human–AI interaction. Contribute to a conversational design system that aligns with UX, branding, and service design libraries. Monitor and optimize conversation success metrics to reduce friction and increase task completion and satisfaction. What you bring Must-have skills & experience 3–5 years' experience in conversational design, AI UX, or content design for digital/enterprise products. Strong understanding of agentic automation, prompt engineering, and the capabilities/limits of GenAI and NLU models. Hands-on experience designing bots or assistants using tools like Dialogflow CX, Rasa, Watson Assistant, Botpress, or custom LLM-based frameworks. Ability to create conversation flows, tone-of-voice guidelines, and bot personality specs aligned with enterprise service expectations. Strong collaboration skills — comfortable working with engineers, researchers, and stakeholders in Agile environments. Bonus points Experience with LLM orchestration, memory design, or multi-agent systems. Familiarity with enterprise AI stacks (OpenAI, Microsoft Azure AI, LangChain, vector databases, etc.). Knowledge of UX writing, service design, and enterprise automation. Background in linguistics, cognitive science, or behavioural design. How to apply Share your CV and a short portfolio or examples of conversational experiences you've designed (chatbots, voicebots, copilots, etc.).