AI UX Designer

📍 Job Overview

Job Title: AI UX Designer

Company: Jobgether (Partner Company)

Location: Canada

Job Type: Contract

Category: Design - User Experience (UX) / AI Product Design

Date Posted: August 6, 2026

Experience Level: Mid-Senior Level (5-10 years implied)

Remote Status: Fully Remote

🚀 Role Summary

• Design and prototype cutting-edge AI-powered user experiences that redefine digital product interactions.

• Develop intuitive workflows, conversational interfaces, and enterprise AI solutions for collaboration environments.

• Collaborate closely with product, UX teams, engineers, and stakeholders to translate complex AI capabilities into user-friendly experiences.

• Apply UX writing principles to craft clear, effective, and engaging human-AI interactions.

• Leverage AI tools throughout the design process to enhance productivity, exploration, and innovation.

📝 Enhancement Note: This role is for a Contract AI UX Designer based in Canada, working on AI-powered user experiences for enterprise solutions. The description emphasizes hands-on prototyping and collaboration with cross-functional teams. The "5-10 years" experience level is inferred from the depth of responsibilities and required skills, suggesting a mid-to-senior level professional.

📈 Primary Responsibilities

• Design AI-powered user interfaces, workflows, and interactions across various platforms, including desktop applications and collaboration tools.

• Create user-centered experiences specifically for AI agents, copilots, assistants, and conversational interfaces.

• Develop high-fidelity prototypes, interactive mockups, and tangible demonstrations to effectively communicate design concepts and validate solutions.

• Partner closely with product designers, UX teams, engineers, and stakeholders to define and enhance AI-driven user experiences.

• Apply UX writing principles to ensure clear, effective, and engaging conversational interactions within AI systems.

• Conduct comprehensive user validation activities, including usability testing, and iterate on designs based on collected feedback.

• Integrate and leverage AI tools within the design workflow to boost productivity, foster exploration, and drive innovation.

• Translate complex AI capabilities into simple, intuitive, and accessible experiences for enterprise users.

• Contribute actively to design decisions that measurably improve usability, adoption rates, and the overall product experience.

📝 Enhancement Note: The primary responsibilities highlight a blend of strategic design thinking and tactical execution, emphasizing the creation of tangible prototypes and user validation. The focus on "enterprise solutions" and "collaboration environments" suggests a need for understanding complex B2B user needs and workflows.

🎓 Skills & Qualifications

Education:

• While no specific degree is mandated, a strong portfolio demonstrating equivalent practical experience in design and AI interaction is expected. Experience:

• Minimum of 5-10 years of proven experience in product design, with a significant focus on AI-driven user experiences and enterprise software solutions. Required Skills:

• Proven experience designing AI-powered user interfaces, workflows, or digital experiences.

• Experience working on agentic AI products, AI assistants, copilots, or conversational interfaces.

• Strong product design background with a history of creating SaaS platforms or enterprise software solutions.

• Demonstrated ability to effectively use AI tools as an integral part of the design process.

• Proficient in UX research methodologies, interaction design principles, and prototyping techniques.

• Skilled in conducting usability validation and iterative design based on user feedback.

• Hands-on expertise with industry-standard design tools such as Figma and related platforms.

• Ability to build and demonstrate working prototypes, not solely rely on conceptual prompts.

• Strong understanding of conversational UX, UX writing, and human-AI interaction principles.

• Ability to collaborate effectively with cross-functional teams in a remote work environment. Preferred Skills:

• Familiarity with advanced AI design tools such as Figma Make, Claude, Microsoft Copilot, or Copilot Agents.

• Experience in defining design strategies for emerging AI technologies.

• Familiarity with agile development methodologies and working within sprint cycles.

📝 Enhancement Note: The requirements emphasize hands-on experience with AI products and practical application of design tools, particularly Figma. The preference for specific AI design tools indicates a need for candidates who are already experimenting with or proficient in these emerging platforms. The ability to build functional prototypes is a key differentiator.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a minimum of 2-3 comprehensive case studies focusing on AI-powered user experiences, conversational interfaces, or complex enterprise SaaS solutions.

• Each case study should clearly articulate the problem statement, your design process, the AI capabilities involved, your specific contributions, and the measurable outcomes or impact.

• Demonstrate proficiency in interaction design, user flow mapping, and the creation of high-fidelity interactive prototypes.

• Include examples of UX writing for conversational agents or AI-driven workflows if applicable.

• Highlight your experience with tools like Figma, and any specific AI design tools used in your projects. Process Documentation:

• For each case study, outline the steps taken from initial research and concept ideation through to prototyping, user testing, and iteration.

• Detail how user feedback and AI capabilities informed design decisions.

• Provide insights into how you collaborated with engineering and product teams to bring AI-driven features to life.

• Explain how you approached translating complex AI concepts into intuitive user experiences.

📝 Enhancement Note: The portfolio requirements are critical for this role, demanding tangible proof of experience in AI UX design. Candidates should prepare detailed case studies that not only show design skills but also their understanding of AI principles and their ability to translate them into functional prototypes and user-validated solutions.

💵 Compensation & Benefits

Salary Range:

• For a contract AI UX Designer with 5-10 years of experience in Canada, a competitive hourly rate or project-based fee would be expected. Based on industry benchmarks for specialized UX roles in AI and contract positions, the estimated range is CAD $60 - $95 per hour, depending on specific experience, skill set, and negotiation. Benefits:

• Fully remote opportunity, open to candidates based in Canada.

• Full-time contract position with an initial 3-month duration, offering strong potential for extension.

• Opportunity to work on cutting-edge AI-powered product experiences.

• Collaboration with experienced product and UX professionals.

• Exposure to enterprise AI solutions and emerging human-AI interaction models.

• Opportunity to significantly influence how users interact with intelligent digital assistants.

• Flexible remote work environment, facilitating collaboration across global teams. Working Hours:

• This is a full-time contract role, implying approximately 40 hours per week. While remote, adherence to project timelines and team collaboration needs will be expected.

📝 Enhancement Note: Salary is estimated based on typical contract rates for specialized UX roles in Canada, considering the AI focus and experience level. Benefits are primarily centered around the flexibility and nature of a remote contract role, with a strong emphasis on the project's cutting-edge technology.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, Software, AI Product Development. The partner company is actively involved in developing and integrating AI into enterprise collaboration tools and digital products.

Company Size: Not explicitly stated, but the nature of the contract role and the involvement with a platform like Jobgether suggests a dynamic, potentially fast-growing or specialized tech company.

Founded: Not specified.

Team Structure:

• The AI UX Designer will be part of a product and UX team, working closely with product managers, engineers, and other designers.

• Collaboration is expected to be cross-functional and potentially global, given the remote nature of the role.

• The reporting structure will likely be within the partner company's UX or Product department, with Jobgether acting as a platform facilitator for the application process. Methodology:

• The partner company likely employs agile or lean methodologies for product development, with a strong emphasis on user-centered design and iterative improvement.

• AI tools are being integrated into both the product development process and the end products themselves.

• Data-driven decision-making and user validation are expected to be core to their design and development processes.

Company Website: The primary company details are managed by the partner company, but Jobgether's website (jobgether.com) explains their AI-powered matching process.

📝 Enhancement Note: The context suggests a modern, tech-forward company that embraces AI and remote collaboration. The emphasis on "enterprise solutions" and "collaboration environments" implies a professional, results-oriented culture focused on delivering robust B2B products.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned at a Mid-Senior to Senior level, suitable for experienced designers who can independently drive AI UX initiatives. It requires a deep understanding of user-centered design principles applied to emerging AI technologies.

Reporting Structure: The AI UX Designer will report to a Product Design Lead or a similar managerial role within the partner company's product team. Close collaboration with Product Managers and Engineering leads is also expected.

Operations Impact: The designer's work will directly impact the usability, adoption, and effectiveness of AI-powered features within enterprise software. This includes shaping how users interact with intelligent systems, influencing user productivity, and enhancing the overall value proposition of the product.

Growth Opportunities:

• Specialization: Deepen expertise in AI UX design, human-AI interaction, and conversational design within the context of enterprise applications.

• Skill Development: Gain hands-on experience with a wider array of AI design tools and emerging AI technologies.

• Project Leadership: Potentially take on lead design responsibilities for specific AI feature development cycles.

• Industry Exposure: Work with cutting-edge AI solutions that are transforming enterprise software, providing valuable experience for future roles in AI product development.

📝 Enhancement Note: While a contract role, the opportunity to work on advanced AI products offers significant learning and specialization growth. The role provides a platform to build a strong portfolio in a high-demand field.

🌐 Work Environment

Office Type: Fully Remote. The role is designed for individuals working from their own home office environment.

Office Location(s): Canada. Candidates must be legally authorized to work and reside in Canada.

Workspace Context:

• Collaborative Environment: While remote, expect active participation in virtual meetings, design critiques, and collaborative brainstorming sessions using digital tools.

• Tools & Technology: Access to and proficiency with design software (Figma), communication platforms (e.g., Slack, Teams), and project management tools will be essential. The role may also involve using AI tools directly for design ideation and prototyping.

• Team Interaction: Regular interaction with product managers, fellow designers, and engineers to ensure alignment and drive project success.

Work Schedule: This is a full-time contract role, expected to be around 40 hours per week. Flexibility is inherent in remote work, but candidates should be prepared to meet project deadlines and participate in scheduled team syncs and client meetings as needed.

📝 Enhancement Note: The fully remote nature requires strong self-discipline, excellent communication skills, and comfort with digital collaboration tools. Candidates should ensure they have a suitable home office setup conducive to productive work.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening (Jobgether): AI-powered review by Jobgether to assess initial fit against core requirements.

• Application Submission: Candidates whose profiles match are invited to submit their application directly to the partner company.

• Portfolio Review: The partner company's hiring team will thoroughly review submitted portfolios for relevant AI UX design experience and case studies.

• Technical Interview/Design Challenge: Expect a discussion focused on AI UX principles, design process, and potentially a design exercise or case study presentation. This will assess problem-solving skills and ability to articulate design decisions.

• Hiring Manager/Team Interview: Deeper dive into experience, collaboration style, and cultural fit with the partner company's product and UX teams.

• Final Decision: Managed by the partner company's internal hiring team.

Portfolio Review Tips:

• Highlight AI Focus: Ensure your portfolio prominently features projects involving AI, conversational interfaces, or agentic AI. Clearly explain the AI component and your role in designing for it.

• Showcase Process: Detail your design thinking process, from user research and ideation to prototyping and testing, with a specific emphasis on how AI capabilities were integrated and how user needs were met.

• Demonstrate Prototyping: Include interactive prototypes (links to Figma, InVision, etc.) that showcase your ability to build functional AI interactions, not just static mockups.

• Quantify Impact: Where possible, use metrics or qualitative feedback to demonstrate the success or impact of your AI UX designs.

• UX Writing Samples: If you have strong UX writing examples related to AI or conversational interfaces, include them.

Challenge Preparation:

• AI Design Principles: Be ready to discuss the unique challenges and opportunities of designing for AI, including aspects like explainability, trust, bias, and user control.

• Conversational Design: Prepare to discuss principles of effective conversational UX and UX writing for AI agents.

• Prototyping Tools: Ensure you are comfortable demonstrating your skills in Figma, particularly any features relevant to prototyping complex interactions or conversational flows.

• Case Study Presentation: Practice presenting one or two key portfolio pieces, focusing on your problem-solving approach, design decisions, and the impact of your work.

📝 Enhancement Note: The process involves an initial AI screening via Jobgether, followed by direct engagement with the partner company. A strong, AI-focused portfolio is paramount. Candidates should be prepared for a design challenge or in-depth discussion about their AI UX expertise.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Essential for UI design, wireframing, prototyping, and collaboration. Proficiency in advanced features for interactive prototyping is expected.

• Prototyping Tools: Beyond Figma, familiarity with other prototyping tools that support complex interactions or animations is beneficial.

• Design Systems: Experience working with or contributing to design systems for consistency and scalability.

Analytics & Reporting:

• While not a primary analytics role, an understanding of how user behavior data informs design decisions is valuable. Familiarity with analytics platforms (e.g., Mixpanel, Amplitude) can be a plus. CRM & Automation:

• This role is focused on design, so direct CRM or automation tool management is not expected. However, understanding how AI features might integrate with or impact CRM/workflow automation processes is beneficial. AI Specific Tools (Preferred):

• Figma Make: For AI-assisted design workflows within Figma.

• Claude, Microsoft Copilot, Copilot Agents: Familiarity with these or similar AI assistants and agent frameworks for ideation, content generation, or prototyping assistance.

📝 Enhancement Note: Figma proficiency is non-negotiable. The preference for specific AI design tools like Figma Make and AI assistants indicates the partner company's commitment to leveraging these technologies in their design process.

👥 Team Culture & Values

Operations Values:

• Innovation: A drive to explore and implement cutting-edge AI technologies in user experiences.

• User-Centricity: A deep commitment to understanding and serving the needs of enterprise users through intuitive design.

• Collaboration: Valuing teamwork, open communication, and cross-functional partnerships to achieve shared goals.

• Data-Driven: Using insights from research and analytics to inform design decisions and measure impact.

• Efficiency: A focus on optimizing workflows and leveraging tools (including AI) to deliver high-quality results efficiently.

Collaboration Style:

• Cross-functional Integration: Active participation in design reviews, sprint planning, and feedback sessions with product managers, engineers, and other stakeholders.

• Open Feedback Culture: A willingness to give and receive constructive feedback to continuously improve designs and processes.

• Knowledge Sharing: Proactively sharing insights, learnings, and best practices related to AI UX design within the team.

📝 Enhancement Note: The culture likely emphasizes agility, innovation in AI, and a strong collaborative spirit. Candidates should demonstrate an ability to work effectively in a remote, cross-functional setting and embrace continuous learning in the rapidly evolving AI landscape.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapidly Evolving AI Landscape: Staying abreast of new AI technologies, tools, and design patterns.

• Designing for Explainability & Trust: Creating AI experiences that are transparent, understandable, and trustworthy for enterprise users.

• Balancing Complexity and Simplicity: Translating sophisticated AI capabilities into intuitive and easy-to-use interfaces.

• User Adoption of AI: Overcoming potential user resistance or apprehension towards AI-powered features.

• Prototyping Novel Interactions: Developing effective methods to prototype and test entirely new ways of interacting with AI.

Learning & Development Opportunities:

• AI UX Specialization: Deepen expertise in a highly sought-after and rapidly growing field.

• Tool Proficiency: Gain hands-on experience with leading AI design tools and platforms.

• Industry Exposure: Work on impactful AI solutions that are shaping the future of enterprise software.

• Mentorship: Potential to learn from experienced product and UX professionals within the partner company.

📝 Enhancement Note: This role presents significant challenges that are also excellent growth opportunities. The ability to navigate the complexities of AI design will be a key differentiator for career advancement in this domain.

💡 Interview Preparation

Strategy Questions:

• "Describe your process for designing a conversational AI interface for a complex enterprise workflow. What key considerations would you prioritize?"

• "How do you approach building trust and transparency in AI-powered user experiences? Can you provide an example from your portfolio?"

• "Walk us through a project where you used AI tools to enhance your design workflow or ideation process. What was the outcome?"

• "How do you balance the need for advanced AI capabilities with the user's need for simplicity and ease of use?" Company & Culture Questions:

• "What interests you about designing AI-powered experiences for enterprise collaboration tools?"

• "How do you approach collaborating with engineers and product managers on AI feature development?"

• "Describe a time you received critical feedback on a design and how you incorporated it. How would you handle feedback on an AI feature?"

• "How do you stay current with the latest trends and advancements in AI and UX design?" Portfolio Presentation Strategy:

• Narrative Arc: Structure your case study presentations with a clear beginning (problem), middle (process/solution), and end (impact/learnings).

• Focus on AI Integration: Explicitly detail how AI was used in the product and how you designed for its unique characteristics.

• Interactive Prototypes: Be prepared to walk through your interactive prototypes, explaining design decisions and user flows in real-time.

• Quantifiable Results: Present any metrics or user feedback that demonstrate the success or impact of your designs.

• Conciseness: Be mindful of time, focusing on the most impactful aspects of your projects.

📝 Enhancement Note: Interview preparation should focus on demonstrating a deep understanding of AI UX principles, practical application through portfolio examples, and effective communication of design processes and outcomes. Be ready to discuss specific AI tools and emerging trends.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided Jobgether link.

• Portfolio Customization: Tailor your portfolio to prominently feature your most relevant AI UX design projects, emphasizing enterprise solutions and conversational interfaces. Ensure interactive prototypes are easily accessible.

• Resume Optimization: Update your resume to highlight keywords such as "AI UX Design," "Conversational Interfaces," "Figma," "Prototyping," "Enterprise Software," and "Human-AI Interaction." Quantify achievements where possible.

• Interview Preparation: Practice articulating your design process, AI design philosophy, and specific project contributions. Prepare to present your portfolio and potentially complete a design exercise.

• Company Research: Understand Jobgether's AI matching process and research the partner company's domain (if available) to tailor your responses to their specific industry and product focus.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.