Lead UX Designer, AI Experiences

Job Description

A leading organization is seeking a Lead UX Designer to design AI-powered digital experiences that support complex business and operational workflows. This role combines user experience strategy, conversation design, research, and product design leadership to create intuitive and responsible AI-enabled products.

The position requires an experienced designer who can guide product direction, collaborate across multidisciplinary teams, and shape experiences involving conversational interfaces, intelligent automation, and agent-based solutions. The ideal candidate brings strong user-centered design expertise, experience with AI-driven products, and the ability to influence decisions regarding the application of AI technologies within enterprise environments.

Responsibilities

AI Product and Experience Design

• Design end-to-end experiences for AI-powered products, including conversational interfaces, intelligent assistants, and workflow automation solutions.
• Create interaction models for AI systems, including user prompts, system responses, agent behaviors, escalation paths, and human review processes.
• Translate complex AI capabilities into clear, intuitive user experiences.
• Develop scalable experience frameworks that support evolving AI functionality.

Conversation and Agent Design

• Design conversational experiences for chat, voice, and agent-driven interfaces.
• Define dialogue flows, intent structures, prompts, tone, and response patterns.
• Create approaches for handling errors, ambiguity, recovery scenarios, and user guidance.
• Partner with cross-functional teams to determine where AI, automation, or agent-based workflows provide the greatest value.
• Define appropriate levels of autonomy and human involvement within AI-powered experiences.

Research and Discovery

• Lead research activities focused on AI-enabled products and workflows.
• Evaluate user trust, understanding, and expectations related to AI interactions.
• Assess inputs, outputs, datasets, and AI-generated experiences through testing and iteration.
• Collaborate with technical teams to understand system capabilities, limitations, and risks.
• Incorporate user feedback and research findings into design decisions.

Responsible AI and Experience Quality

• Apply principles that promote transparency, explainability, and user control within AI experiences.
• Design feedback mechanisms that help users understand and interact effectively with AI systems.
• Consider ethical implications and bias awareness during the design process.
• Balance business objectives with user trust, usability, and safety considerations.

Leadership and Collaboration

• Lead UX strategy throughout the product lifecycle from discovery through delivery.
• Identify opportunities and constraints related to AI adoption and experience design.
• Mentor designers and share best practices for AI, conversational, and interaction design.
• Collaborate with product, engineering, and data teams to align user experience outcomes with business goals.
• Present design concepts and recommendations to both technical and non-technical stakeholders.

Required Experience and Skills

User Experience Design

• 8+ years of professional UX design experience
• 5+ years of experience in user research, interaction design, or related UX disciplines
• 3+ years working within agile or lean product environments
• 5+ years designing enterprise applications or complex systems
• Experience collaborating with cross-functional stakeholders

AI and Conversational Design

• Experience designing AI-enabled or automation-driven products
• Experience designing conversational interfaces, including chat, voice, or agent-based systems
• Ability to define prompts, dialogue flows, and AI interaction patterns
• Experience translating AI capabilities into user-centered experiences

Research and Product Understanding

• Experience conducting or supporting research related to AI and machine learning systems
• Understanding of AI system development, evaluation, and deployment concepts
• Ability to partner effectively with engineering and data-focused teams
• Experience validating AI outputs and user interactions through testing and iteration

Design Tools and Delivery

• Experience using design and prototyping tools such as Figma and Miro
• Experience working with design systems
• Familiarity with front-end technologies
• Ability to connect design outcomes to measurable business objectives

Leadership and Communication

• Experience leading design initiatives across complex product environments
• Strong facilitation and stakeholder management skills
• Experience mentoring designers and influencing product direction
• Strong storytelling and presentation abilities

Preferred Experience

• Experience designing AI assistants, workflow automation tools, or agent-based systems
• Experience facilitating discussions regarding AI adoption and product strategy
• Experience establishing design frameworks or standards for AI experiences
• Knowledge of healthcare or pharmacy-related environments
• Familiarity with cloud-based AI platforms and enterprise AI tools

Education

• Bachelor’s degree in Human-Computer Interaction, Psychology, Fine Arts, Computer Science, or a related field, or equivalent combination of education and experience.

FAQ

1. What does a Lead UX Designer for AI Experiences do?

A Lead UX Designer for AI Experiences leads the design of user interactions with AI-powered products and features. The role combines UX strategy, interaction design, research, prototyping, and design leadership to create AI experiences that are useful, understandable, accessible, and aligned with user needs.

2. What types of AI experiences might this role design?

The role may cover conversational assistants, intelligent search, recommendations, AI-generated content, automated workflows, copilots, decision-support tools, and other intelligent product features. The designer considers the complete interaction from user input through AI output and follow-up actions.

3. How does UX design differ for AI-powered products?

AI experiences are often less predictable than traditional interfaces because outputs can vary based on context and user input. Designers need to account for uncertainty, feedback, error recovery, transparency, user control, and ways for users to review or correct AI-generated results.

4. What role does user research play in AI experience design?

User research helps identify expectations, trust concerns, workflows, and situations where AI can provide meaningful assistance. Research findings guide interaction patterns, validate prototypes, and help teams determine whether AI features actually improve the user’s task or outcome.

5. How are conversational interfaces designed?

Designers define conversation flows, prompts, response structures, clarification patterns, error states, loading or streaming behavior, and mechanisms for user feedback. They also consider how users can navigate previous interactions and understand what the AI can and cannot do.

6. How does a Lead UX Designer collaborate with AI and product teams?

The designer works with product managers, engineers, data scientists, machine learning specialists, content designers, researchers, and business stakeholders. Collaboration helps translate technical AI capabilities into understandable user experiences while identifying design constraints and opportunities early in development.

7. How are AI experiences evaluated after launch?

Evaluation can include usability, task completion, adoption, user satisfaction, engagement, response quality, error recovery, and trust-related measures. Qualitative feedback and behavioral analytics can help identify where users struggle and where AI interactions should be redesigned.