Senior UI/UX Designer (AI Assistants & Digital Agents)
Summary
Senior UI/UX designer defining AI experiences (copilots, assistants, conversational and agentic interfaces) across Intermedia's business-communications products. You own design end to end — research, wireframes, Figma prototyping, design-system patterns — with focus on trust, transparency, and responsible AI for enterprise users. Remote in Portugal.
About the Role
- Design intuitive user experiences for AI-powered capabilities across web, desktop, mobile, and administrative interfaces.
- Explore new interaction models for generative AI, including conversational interfaces, copilots, AI assistants, intelligent recommendations, content generation, summarization, and AI-driven workflow automation.
- Design experiences for emerging agentic AI capabilities where AI systems can reason, recommend actions, execute tasks, and coordinate multi-step workflows on behalf of users.
- Translate complex AI functionality into simple, understandable interactions appropriate for everyday business users.
- Determine when AI should proactively assist users versus when users should explicitly initiate or control AI functionality.
- Design effective patterns for prompts, suggestions, generated content, AI actions, confirmations, feedback, and human intervention.
- Create experiences that communicate what an AI system is doing, why it made a recommendation, and what actions it has taken or intends to take.
- Own design initiatives from discovery and concept development through prototyping, implementation, launch, and post-launch optimization.
- Conduct user research, usability studies, interviews, competitive analysis, and workflow analysis to understand customer needs and behaviors.
- Translate customer problems and product requirements into user journeys, workflows, wireframes, prototypes, and high-fidelity designs.
- Develop and validate design hypotheses through rapid prototyping and user testing.
- Identify opportunities to simplify complex workflows through thoughtful UX and intelligent automation.
- Use qualitative and quantitative data to evaluate experiences and recommend improvements.
- Work closely with Product Management to ensure designs address meaningful customer problems and measurable business outcomes.
- Design AI experiences that establish appropriate levels of trust, transparency, and user control.
- Clearly distinguish AI-generated information and actions where appropriate.
- Design graceful experiences for uncertainty, incomplete information, errors, hallucinations, and situations where the AI cannot confidently complete a request.
- Create effective confirmation, undo, escalation, and human-in-the-loop patterns for AI-driven actions.
- Design feedback mechanisms that allow users to evaluate, correct, or improve AI-generated results.
- Partner with Product, Engineering, Security, Privacy, and Legal teams to incorporate responsible AI principles into the user experience.
- Help establish UX guidelines for consistent and responsible use of AI throughout Intermedia products.
- Contribute to and evolve Intermedia's design system to support AI-powered experiences.
- Define reusable patterns and components for conversational interfaces, AI recommendations, generated content, AI actions, status indicators, feedback mechanisms, and agentic workflows.
- Ensure new AI capabilities integrate naturally with established product experiences rather than feeling like disconnected features.
- Maintain consistency across products while identifying where emerging AI interactions require new design paradigms.
- Partner with designers and developers to ensure design-system components are practical, scalable, accessible, and consistently implemented.
- Partner closely with Product Managers, Product Owners, AI/ML engineers, software engineers, architects, researchers, and other designers.
- Facilitate design workshops and collaborative discovery sessions to explore customer problems and AI opportunities.
- Clearly communicate design rationale, research findings, user needs, and tradeoffs to technical and non-technical stakeholders.
- Challenge assumptions and advocate for customer-centered solutions when technology or implementation considerations begin driving the experience.
- Provide design leadership and mentorship to other designers and help raise the overall quality of UX across the organization.
- Collaborate effectively across multiple teams and product areas to create coherent end-to-end customer experiences.
- Stay current with emerging AI technologies, interaction patterns, and design practices and translate relevant developments into practical product experiences.
- 5+ years of professional UI/UX, Product Design, or Interaction Design experience, ideally designing complex SaaS or enterprise software.
- A strong portfolio demonstrating end-to-end product design, complex workflows, interaction design, and thoughtful problem solving.
- Excellent knowledge of usability, UX/UI, interaction design, information architecture, accessibility, and human factors principles.
- Strong ability to analyze complex requirements and turn them into simple, elegant solutions.
- Experience conducting or participating in user research and usability testing.
- Strong proficiency with Figma, prototyping tools, and modern design-system practices.
- Experience working closely with Product Management and Engineering in an Agile software-development environment.
- Strong communication, presentation, collaboration, and stakeholder-management skills.
- Ability to work effectively with ambiguity and rapidly evolving requirements.
- Strong attention to detail while maintaining an understanding of the broader product and customer experience.
AI Experience & Knowledge
- Experience designing products or features powered by generative AI, machine learning, or intelligent automation.
- Understanding of large language models (LLMs) and the opportunities and limitations they introduce into product experiences.
- Familiarity with conversational UX and natural-language interfaces.
- Understanding of concepts such as prompts, context, AI-generated content, confidence and uncertainty, hallucinations, and AI feedback loops.
- Familiarity with AI agents and emerging patterns for designing systems that can perform multi-step actions on behalf of users.
- Experience thinking through trust, transparency, explainability, privacy, and user control in AI experiences.
- A strong interest in experimenting with new AI tools and interaction models.
- Experience designing enterprise communications, collaboration, contact center, productivity, or workflow-automation products.
- Experience designing AI copilots, assistants, conversational interfaces, or agentic workflows.
- Experience developing or contributing to large-scale design systems.
- Experience with voice and multimodal interfaces.
- Understanding of accessibility standards and inclusive design.
- Familiarity with HTML/CSS and the technical constraints of modern web applications.
- Experience using AI-assisted design and prototyping tools.
- Experience working with globally distributed Product and Engineering teams.
What Success Looks Like
- Customers immediately understand how AI can help them.
- Complex AI capabilities feel simple and natural to use.
- Users remain informed and in control when AI recommends or takes actions.
- AI features integrate seamlessly into existing customer workflows.
- Common AI interaction patterns become consistent across Intermedia products.
- Research and customer feedback meaningfully influence AI product decisions.
- Product and Engineering teams view Design as a strategic partner in determining what AI experiences should be built, not simply how they should look.