AI-Forward UX Designer

📍 Job Overview

Job Title: AI-Forward UX Designer

Company: Jobgether (on behalf of a partner company)

Location: France

Job Type: Part-time

Category: UX/UI Design, Technology, AI

Date Posted: May 06, 2026

Experience Level: Mid-Senior Level (3-7+ years)

Remote Status: Fully Remote

🚀 Role Summary

• Lead end-to-end UX design processes for diverse client projects, integrating AI tools to enhance ideation, prototyping, and user research.

• Champion AI-first design methodologies and contribute to evolving internal design practices within a forward-thinking organization.

• Collaborate closely with product managers, engineers, and clients to translate complex requirements into intuitive, scalable, and user-centered digital experiences.

• Leverage generative AI tools and Figma AI features to accelerate the creation of UI mockups, prototypes, and design assets, driving efficiency and innovation.

• Conduct and synthesize user research using AI-assisted methods to extract actionable insights and inform design decisions.

📝 Enhancement Note: The role emphasizes a hybrid approach to design, blending traditional UX methodologies with advanced AI capabilities. The "AI-Forward" aspect suggests a proactive adoption and integration of AI tools not just for efficiency but for fundamentally rethinking and enhancing the design process itself. The part-time nature combined with remote work in France indicates a flexible engagement model, potentially suitable for experienced professionals seeking specialized project-based work.

📈 Primary Responsibilities

• Spearhead the entire UX design lifecycle for multiple client engagements, from initial discovery and user research to the delivery of final design assets and handoff to development teams.

• Strategically employ AI-powered tools, including generative design platforms and advanced Figma AI features, to rapidly produce high-fidelity UI mockups, interactive prototypes, and reusable design components.

• Execute and synthesize user research, utilizing AI-assisted methods for efficient analysis of qualitative and quantitative data, including interview transcripts, survey responses, and behavioral analytics.

• Apply established design thinking and product thinking frameworks to clearly define user problems, map complex user journeys, and validate proposed solutions through iterative feedback loops with stakeholders.

• Develop, maintain, and scale comprehensive design systems, UI component libraries, and detailed documentation to ensure design consistency and efficiency across a portfolio of client projects.

• Foster strong, collaborative relationships with cross-functional teams, including product managers, software engineers, AI specialists, and external clients, to ensure seamless integration of user-centered design principles.

• Articulate and present design concepts, strategies, and rationale, effectively communicating the benefits and efficiency gains derived from AI-driven design workflows to both technical and non-technical audiences.

• Actively contribute to the continuous improvement of internal design methodologies, advocating for and embedding AI-first design practices throughout the organization.

📝 Enhancement Note: The responsibilities highlight a blend of hands-on design execution and strategic influence. The emphasis on "end-to-end UX design processes" and "scalability" points towards a need for a designer who can manage projects autonomously and think about long-term design system health. The requirement to "contribute to evolving internal design methodologies" suggests an expectation to act as a thought leader in AI-driven design.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong educational background in Human-Computer Interaction (HCI), Interaction Design, Graphic Design, Computer Science, or a related field is highly beneficial and often demonstrated through a robust portfolio.

Experience: 3–7+ years of dedicated UX/UI design experience, with a proven track record of successfully delivering digital products. Experience in agency, consultancy, or multi-client environments is essential, demonstrating adaptability across various industries and project scopes.

Required Skills:

• Comprehensive experience in leading end-to-end UX design processes, including user research, wireframing, prototyping, and final UI design.

• Demonstrated hands-on proficiency in utilizing AI tools within daily design workflows, such as generative design platforms, AI-assisted research analysis tools, or AI-powered content generation.

• Advanced mastery of Figma, including a deep understanding of its AI-enabled plugins, features, and collaborative capabilities.

• Solid grasp of core design methodologies: design thinking, product thinking, and human-centered design principles.

• Proven ability to analyze qualitative and quantitative user research data and translate findings into actionable, data-informed design decisions.

• Excellent communication, presentation, and interpersonal skills, with experience in leading client-facing workshops and design reviews.

Preferred Skills:

• Experience with other design and prototyping tools beyond Figma.

• Familiarity with front-end development concepts (HTML, CSS, JavaScript) to better collaborate with engineers.

• Experience in building and scaling design systems.

• Knowledge of AI ethics and responsible design principles in AI applications.

• Experience with project management tools and agile methodologies.

📝 Enhancement Note: The experience requirement is framed as a range (3-7+ years), indicating flexibility for candidates who may excel in certain areas. The emphasis on "proven hands-on experience using AI tools" is critical and suggests that candidates should be prepared to showcase specific examples of AI integration in their portfolio. The "adaptability across industries" requirement for agency/consultancy experience is key for a role involving multiple client projects.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive portfolio showcasing a minimum of 3-5 distinct projects that highlight end-to-end UX/UI design expertise.

• Clear demonstration of your role and contributions within each project, especially concerning AI tool integration and its impact.

• Detailed case studies that outline the problem, your design process (including AI-driven steps), key decisions, user research insights, and final outcomes.

• Visual examples of wireframes, user flows, interactive prototypes, and final UI designs, with explanations of the design rationale.

• Evidence of how you translated user insights and business requirements into effective design solutions.

Process Documentation:

• Documentation of your personal design process, outlining how you approach different project phases from discovery to delivery.

• Examples of how you conduct and synthesize user research, particularly any AI-assisted methods employed.

• Case studies that detail the implementation of design systems or scalable UI components.

• Demonstrations of how you collaborate with cross-functional teams and present design solutions to stakeholders.

📝 Enhancement Note: The portfolio is paramount for this role, serving as the primary evidence of a candidate's skills and experience, particularly concerning AI integration. Candidates should curate projects that explicitly showcase their ability to leverage AI tools for efficiency, ideation, and insight generation, and clearly articulate the ROI or impact of these AI applications.

💵 Compensation & Benefits

Salary Range: For a Part-time, Remote AI-Forward UX Designer role with 3-7+ years of experience in France, a competitive hourly rate or project-based compensation is expected. Based on market research for UX design roles in France with AI specialization and considering the part-time nature, an estimated hourly rate could range from €40 to €70 per hour, equivalent to an annual range of approximately €30,000 to €55,000 FTE if the part-time commitment were to scale to full-time hours.

Benefits:

• Competitive compensation package, reflecting expertise and project scope.

• Fully remote-first environment, offering flexibility and work-life balance.

• Flexible working hours, allowing for adaptation to project needs and personal schedules.

• Access to cutting-edge AI tools and design technologies, provided by the organization.

• Opportunity to work on diverse, high-impact client projects across various industries, enhancing portfolio breadth.

• Collaborative team culture with opportunities to engage with designers, engineers, and AI specialists.

• Professional development budget for continuous learning, including courses, certifications, and attendance at relevant conferences.

• The chance to significantly influence and shape the future of AI-driven UX design practices.

Working Hours: This is a part-time position. Specific working hours will be flexible and negotiated based on project demands and candidate availability, within the context of the French work environment and client needs. A standard full-time week is typically 35-40 hours in France.

📝 Enhancement Note: As a part-time role, compensation is likely to be structured hourly or on a project basis. The provided range is an estimate based on general market data for experienced UX designers in France, with an uplift for AI specialization and remote work. Actual compensation will depend on the specific partner company, project scope, and the candidate's demonstrated expertise.

🎯 Team & Company Context

🏢 Company Culture

Industry: The partner company operates within the technology and digital services sector, likely focusing on AI-driven solutions, digital transformation, or specialized design consultancy. The specific industry context for client projects will vary.

Company Size: As Jobgether facilitates placements for various partner companies, the size can range from startups to established firms. The description of a "multi-client setup" suggests a dynamic environment that could be a medium-sized consultancy or a larger firm with specialized project teams.

Founded: Information on the founding date of the partner company is not provided, but the emphasis on "AI-Forward" and "evolving modern design workflows" implies a company that is contemporary and forward-looking in its approach to technology and design.

Team Structure:

• The UX design team is likely composed of experienced professionals specializing in various aspects of UX/UI, with a growing contingent focused on AI integration.

• Reporting structures may vary, but direct collaboration with product managers, engineers, and client liaisons is standard.

Methodology:

• Data analysis and insights are driven by a combination of traditional user research and AI-assisted methodologies for efficiency and depth.

• Workflow planning and optimization strategies focus on agile principles and the integration of AI tools to streamline processes.

• Automation and efficiency are key tenets, with a constant drive to leverage technology, particularly AI, to improve design output and delivery times.

Company Website: https://jobgether.com/ (This is the platform posting the role; the partner company's website is not specified.)

📝 Enhancement Note: The culture is likely to be innovative, fast-paced, and collaborative, with a strong emphasis on continuous learning and the adoption of new technologies. The "multi-client setup" suggests a need for adaptability and strong client management skills within the team.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned at a Mid-Senior level, requiring 3-7+ years of experience. It signifies a designer who can operate with a high degree of autonomy, lead design initiatives, and contribute strategically to project outcomes and team methodologies. The "AI-Forward" aspect also suggests a specialization pathway within UX design.

Reporting Structure: While specific reporting lines depend on the partner company, the role involves close collaboration with project managers, engineering leads, and client stakeholders. Direct reporting might be to a Head of Design, Design Lead, or a Project Manager.

Operations Impact: The impact of this role is significant, influencing the user experience of diverse digital products for various clients. By integrating AI, the designer has the potential to drastically improve product usability, user engagement, and client satisfaction, directly contributing to the success of client projects and the partner company's reputation for innovation.

Growth Opportunities:

• Specialization: Deepen expertise in AI-driven design tools and methodologies, becoming a go-to specialist in this emerging field.

• Leadership: Progress to a Senior UX Designer, Lead UX Designer, or even Design Manager role, overseeing project teams and strategic design initiatives.

• Skill Development: Utilize the professional development budget to attend AI/UX conferences, take advanced courses in AI, or pursue relevant certifications, enhancing marketability.

• Broader Exposure: Gain experience across a wide array of industries and product types, broadening design perspective and problem-solving capabilities.

📝 Enhancement Note: The growth path for this role is strongly tied to mastering AI in design. Successful candidates can position themselves as leaders in this niche, potentially moving into more strategic or management roles within design consultancies or tech companies specializing in AI.

🌐 Work Environment

Office Type: The role is advertised as "Fully Remote-first." This indicates that the primary mode of work is remote, with potential for occasional in-person collaboration if required by specific client projects or team gatherings, though the emphasis remains on remote operations.

Office Location(s): While the role is based in France, the "fully remote-first" nature means that candidates can work from any location within France, provided they have a stable internet connection and a suitable remote workspace.

Workspace Context:

• Collaborative Environment: Expect to work in a virtual collaborative environment, utilizing tools like Figma, Slack, Zoom, and project management platforms to connect with colleagues and clients.

• Operations Tools: Access to cutting-edge AI tools and design technologies will be provided, enabling efficient and innovative design work.

• Team Interaction: Regular virtual team meetings, design critiques, and client check-ins will facilitate interaction and knowledge sharing, fostering a connected remote team culture.

Work Schedule: The position is part-time with flexible working hours. This allows for a degree of autonomy in managing one's schedule, aligning with project deadlines and personal commitments. It’s important to coordinate availability with team members and clients for essential meetings and collaboration sessions.

📝 Enhancement Note: The "fully remote-first" and flexible hours aspects are key selling points. Candidates should be comfortable with asynchronous communication and self-management, while also being proactive in scheduling and participating in virtual team interactions.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening (Jobgether AI): Your application will first be processed by Jobgether's AI matching system to assess core requirements.

• Hiring Company Review: Shortlisted candidates are then presented to the partner company's internal team for further review.

• Portfolio Presentation & Discussion: Expect to present your portfolio, focusing on projects demonstrating AI integration, UX process, and problem-solving skills. This will likely involve a discussion about your design rationale and how you leverage AI.

• Technical/Skills Assessment: You may be asked to complete a design exercise or case study, potentially involving AI tools, to assess practical skills.

• Cultural Fit & Team Interview: Interviews with team members and potentially a hiring manager to assess collaboration style, communication, and alignment with the company's innovative culture.

• Final Decision: The partner company will make the final hiring decision.

Portfolio Review Tips:

• Highlight AI Integration: Clearly showcase how you've used AI tools in your projects. Detail the specific tools, the problem they addressed, and the impact on efficiency or outcome.

• Structure Your Case Studies: Use a clear narrative: Problem -> Your Process (including AI steps) -> Solution -> Results. Quantify impact where possible (e.g., "reduced ideation time by X%").

• Showcase End-to-End Process: Demonstrate your ability to handle projects from start to finish, from user research to final UI handoff.

• Visual Clarity: Ensure your designs are presented cleanly and professionally. Interactive prototypes are a plus.

• Tailor to AI-Forward: Emphasize your understanding of AI's role in design and your enthusiasm for future trends.

Challenge Preparation:

• AI Tool Familiarity: Be prepared to discuss AI design tools in depth, their capabilities, limitations, and future potential.

• Problem-Solving: Practice articulating your approach to complex design challenges, especially those that could benefit from AI solutions.

• Communication: Hone your ability to explain technical concepts and design decisions clearly and concisely to both technical and non-technical audiences.

• Client Management: If a case study involves a client scenario, be ready to discuss stakeholder management and communication strategies.

📝 Enhancement Note: The process emphasizes the AI aspect heavily, so candidates must be prepared to demonstrate this capability through their portfolio and interview discussions. The initial AI screening by Jobgether means ensuring keywords related to AI, UX, Figma, and design methodologies are present in the application.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Advanced proficiency required, including familiarity with AI-enabled plugins and collaborative features.

• Generative AI Platforms: Experience with tools for ideation, content creation, UI generation, or rapid prototyping (e.g., Midjourney for assets, tools for AI-assisted wireframing, or AI features within design software).

• Prototyping Tools: Figma's prototyping capabilities, potentially other tools like Adobe XD, Sketch, InVision, or Framer.

• Design Systems Tools: Experience in building and maintaining scalable design systems, often managed within Figma or dedicated platforms.

Analytics & Reporting:

• User Research Platforms: Tools for surveys, interviews, and usability testing (e.g., UserTesting.com, Maze, SurveyMonkey). AI-assisted analysis of qualitative data is a plus.

• Analytics Tools: Familiarity with web analytics (e.g., Google Analytics) or product analytics (e.g., Mixpanel, Amplitude) to understand user behavior and inform design decisions.

CRM & Automation:

• Project Management Tools: Tools like Jira, Asana, Trello, or Monday.com for task management and workflow tracking.

• Collaboration Tools: Slack, Microsoft Teams, Zoom for communication and virtual meetings.

📝 Enhancement Note: Figma is explicitly mentioned as a core tool. The emphasis on "AI-powered tools" and "generative design platforms" suggests a need for candidates to be familiar with or quickly learn emerging AI design technologies.

👥 Team Culture & Values

Operations Values:

• Innovation: A strong drive to explore and adopt new technologies, particularly AI, to push the boundaries of design.

• User-Centricity: A foundational commitment to understanding and serving user needs through thoughtful, empathetic design.

• Collaboration: A belief in the power of teamwork and cross-functional partnerships to achieve optimal outcomes.

• Efficiency & Excellence: A dedication to delivering high-quality work efficiently, leveraging tools and processes to maximize impact.

• Continuous Learning: An expectation that team members remain curious, adaptable, and committed to ongoing professional development, especially in rapidly evolving fields like AI.

Collaboration Style:

• Cross-functional Integration: Close partnerships with product managers, engineers, and AI specialists to ensure cohesive product development.

• Process Review & Feedback: An open culture of providing and receiving constructive feedback on designs and processes.

• Knowledge Sharing: Encouraging the sharing of insights, best practices, and learnings, particularly around AI applications in design.

• Experimentation: A willingness to try new approaches, tools, and methodologies, fostering an environment where experimentation is valued.

📝 Enhancement Note: The culture is likely to be highly iterative and experimental, driven by the rapid advancements in AI. Team members are expected to be proactive, collaborative, and enthusiastic about learning and applying new technologies to solve design problems.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapidly Evolving AI Landscape: Staying abreast of the latest AI tools, techniques, and ethical considerations in design can be demanding.

• Balancing AI Efficiency with Human Creativity: Effectively integrating AI without sacrificing the nuanced creativity and empathy crucial to UX design.

• Client Education on AI: Potentially needing to educate clients on the benefits and capabilities of AI-driven design solutions.

• Navigating Multi-Client Projects: Managing diverse project scopes, client expectations, and team dynamics across multiple engagements simultaneously.

Learning & Development Opportunities:

• AI Design Specialization: Deep dive into prompt engineering for design, AI-generated asset creation, and AI-powered analytics.

• Industry Trends: Access to training and resources on the latest in UX, AI, and product development through the professional development budget.

• Mentorship: Opportunities to learn from senior designers and AI specialists within the partner company or network.

• Portfolio Expansion: Working on a variety of client projects offers continuous opportunities to build a diverse and impactful portfolio.

📝 Enhancement Note: The primary challenge and growth opportunity lies in mastering the intersection of UX design and artificial intelligence. Candidates who thrive on learning and adapting to new technologies will find this role particularly rewarding.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you used an AI tool to significantly accelerate a design process. What was the tool, the problem, and the outcome?"

• "How do you see AI fundamentally changing the role of a UX designer in the next 3-5 years? How are you preparing for this future?"

Company & Culture Questions:

• "What interests you about working with AI-forward design and on diverse client projects?"

• "How do you stay updated on emerging AI technologies and design trends?"

Portfolio Presentation Strategy:

• AI Spotlight: Dedicate specific slides or sections within your case studies to clearly illustrate your use of AI tools. Use visuals and concise explanations.

• Quantify Impact: Whenever possible, present metrics that demonstrate the efficiency gains or improvements in design quality achieved through AI.

• Narrative Flow: Tell a compelling story for each project, highlighting your thought process, problem-solving skills, and the user-centric solutions you delivered.

• Tool Proficiency: Be ready to discuss your proficiency with Figma and any other AI design tools you mention.

Challenge Preparation:

• AI-Powered Design Exercise: Be prepared for a hypothetical or practical design challenge that requires you to think about how AI can be leveraged to solve a specific user problem or improve a workflow.

• Prompt Engineering Basics: Familiarize yourself with the concept of prompt engineering for design tools, as this might be a topic of discussion.

• Design System Thinking: If the challenge involves scaling designs, be ready to discuss design system principles.

📝 Enhancement Note: Interview preparation should heavily focus on demonstrating practical experience and forward-thinking perspectives on AI in UX design. Candidates should be ready to articulate their vision for AI-driven design and how they contribute to it.

📌 Application Steps

To apply for this AI-Forward UX Designer position:

• Submit your application through the Jobgether platform, ensuring your profile is up-to-date and highlights relevant AI and UX experience.

• Curate Your Portfolio: Select 3-5 key projects that best showcase your end-to-end UX process, your proficiency with Figma, and critically, your hands-on experience integrating AI tools. Prepare detailed case studies for each.

• Optimize Your Resume/Profile: Ensure your resume or application profile clearly lists AI tools, design methodologies, and achievements relevant to this role. Use keywords like "AI-Forward," "Generative AI," "Figma AI," "User Research," "Prototyping," and "Design Systems."

• Prepare Your Presentation: Practice walking through your portfolio, focusing on your AI integration story, design rationale, and quantifiable results. Be ready to discuss your strategic approach to AI in design.

• Research AI Design Trends: Familiarize yourself with current and emerging AI tools and their applications in UX design. Understand the ethical considerations and future potential.

⚠️ 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.