AI-Forward UX Designer

📍 Job Overview

Job Title: AI-Forward UX Designer

Company: Jobgether (on behalf of a partner company)

Location: Belgium

Job Type: Part-time

Category: UX/UI Design & AI Integration

Date Posted: May 6, 2026

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

Remote Status: Fully Remote

🚀 Role Summary

• Lead comprehensive UX design initiatives, from initial user research and discovery through to final design handoffs, with a strong emphasis on AI-driven acceleration.

• Leverage cutting-edge generative AI tools and AI features within design software to rapidly produce high-fidelity mockups, interactive prototypes, and essential design assets.

• Conduct and synthesize user research by employing AI-assisted methodologies to extract actionable insights from diverse data sources, including interviews and behavioral analytics.

• Apply robust design thinking and product thinking frameworks to clearly define user problems, map intricate user journeys, and validate proposed solutions with stakeholders.

• Develop and maintain sophisticated, scalable design systems, reusable UI components, and comprehensive documentation to ensure design consistency across a portfolio of client projects.

📝 Enhancement Note: While the role is posted by Jobgether, the actual hiring company is a partner. The AI-Forward aspect implies a strong focus on integrating AI not just as a tool, but as a core component of the design process and output. The "Part-time" nature suggests flexibility, potentially for experienced professionals seeking specific project engagements or a reduced workload. The location "Belgium" for a fully remote role likely indicates a need for candidates to be legally authorized to work there or to be based within a European time zone for effective collaboration.

📈 Primary Responsibilities

• Spearhead the entire UX design lifecycle for multiple client-facing projects, ensuring alignment with strategic business objectives and user needs.

• Integrate generative AI platforms and AI-powered features within tools like Figma to significantly expedite the creation of wireframes, mockups, and interactive prototypes.

• Utilize AI-assisted qualitative and quantitative analysis techniques to efficiently process and interpret user research data, identifying key pain points and opportunities.

• Champion the application of design thinking and product thinking methodologies to frame user challenges, visualize user flows, and drive data-informed design decisions.

• Establish and manage robust design systems, ensuring consistency, scalability, and efficiency in UI component libraries and design documentation across diverse projects.

• Foster strong collaborative relationships with product managers, engineering teams, and external clients, acting as a bridge between user needs and technical implementation.

• Present design concepts, user research findings, and AI-driven workflow benefits clearly and persuasively, articulating value to both technical and non-technical stakeholders.

• Actively contribute to the refinement of internal design processes and advocate for the adoption of AI-first design strategies throughout the organization.

📝 Enhancement Note: The responsibilities highlight a senior-level role where the designer is expected to lead projects independently, manage client relationships, and influence internal processes. The emphasis on AI integration is central, requiring not just proficiency but strategic application to enhance efficiency and output quality. The "multi-client setup" implies a dynamic environment requiring adaptability and strong project management skills.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong foundation in Design, Human-Computer Interaction (HCI), Computer Science, or a related field is highly beneficial. Demonstrated through a robust portfolio and practical experience.

Experience: 3-7+ years of progressive experience in UX/UI design, with a significant portion focused on digital product design. Experience in agency, consultancy, or multi-client environments is a strong plus, showcasing adaptability across various industries and project types.

Required Skills:

• Comprehensive command of end-to-end UX design processes, from discovery and user research to wireframing, prototyping, and high-fidelity UI design.

• Proven, hands-on experience integrating AI tools (e.g., generative design platforms, AI-powered plugins) into daily design workflows for ideation, research synthesis, and asset creation.

• Advanced proficiency in Figma, including expertise with its AI-enabled features and a familiarity with popular AI plugins that enhance design productivity.

• Deep understanding of core design principles, including Design Thinking, Product Thinking, and Human-Centered Design (HCD).

• Demonstrated ability to conduct and synthesize user research, translating both qualitative and quantitative data into actionable design recommendations.

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

• A strong portfolio showcasing a range of user-centered digital product designs with clear explanations of your role and process.

Preferred Skills:

• Experience with other design and prototyping tools (e.g., Adobe Creative Suite, Sketch, InVision).

• Familiarity with front-end development concepts (HTML, CSS, JavaScript) to facilitate better collaboration with developers.

• Experience in building and maintaining scalable design systems and component libraries.

• Knowledge of AI ethics and responsible design principles.

• Experience with AI-assisted user research platforms or tools.

📝 Enhancement Note: The experience requirement (3-7+ years) positions this as a mid-to-senior level role. The emphasis on a "strong portfolio" is critical, especially one that visually demonstrates the application of AI tools in the design process and outcomes. The "agency, consultancy, or multi-client" experience requirement is key for candidates to highlight their ability to navigate diverse project needs and client expectations.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A curated collection of UX/UI design projects that clearly articulate your design process, problem-solving approach, and final solutions.

• Specific case studies demonstrating how you've applied AI tools (e.g., generative AI for ideation, AI for research synthesis) to enhance design efficiency, creativity, or user insights.

• Visual examples of wireframes, user flows, interactive prototypes, and high-fidelity UI designs, presented with context and rationale.

• Evidence of your ability to conduct and synthesize user research, including examples of research plans, findings, and how they informed design decisions.

• Demonstrations of your experience with Figma, showcasing proficiency and potentially custom setups or AI plugin integrations.

Process Documentation:

• Case studies should detail the "end-to-end UX design process" from discovery to handoff, emphasizing key decision points and methodologies used.

• For AI-driven aspects, clearly outline the specific AI tools used, the problem they solved, and the impact on the design workflow or outcome (e.g., time saved, novel ideas generated).

• Provide insights into how you translate user research findings (especially AI-assisted ones) into actionable design requirements and solutions.

• Illustrate your collaboration with cross-functional teams, showing how design inputs were integrated into product development cycles.

📝 Enhancement Note: The portfolio is paramount for this role. Candidates must showcase not only their design talent but also their practical application of AI in the design process. The ability to articulate the impact of AI on efficiency and quality is crucial. Projects demonstrating experience with design systems and client-facing work will be highly valued.

💵 Compensation & Benefits

Salary Range: Given the "Part-time" nature, the compensation will likely be pro-rated. For a mid-to-senior level UX Designer with AI specialization in Belgium, a typical full-time range would be approximately €55,000 - €85,000 annually, depending on experience and the specific partner company's scale and project complexity. For a part-time role, this would be adjusted accordingly.

Benefits:

• Competitive compensation package, reflecting your expertise and contribution.

• Fully remote-first environment, allowing for work from anywhere within Belgium (or potentially broader EU, subject to tax/legal considerations).

• Flexible working hours, offering significant autonomy in managing your schedule.

• Access to cutting-edge AI tools and design technologies, ensuring you work with the latest advancements.

• Opportunity to engage with diverse, high-impact client projects across various industries, broadening your experience.

• Collaborative team culture that fosters knowledge sharing and innovation among designers, engineers, and AI specialists.

• Professional development budget for continuous learning, including courses, certifications, and relevant industry conferences to stay ahead in AI and UX.

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

Working Hours: As a part-time role, specific hours will be agreed upon with the hiring partner, but the overall environment is flexible. Expect to dedicate a set number of hours per week or month, with the ability to structure these flexibly to accommodate project needs and personal commitments. The "fully remote-first" aspect reinforces this flexibility.

📝 Enhancement Note: The salary estimate is based on general market rates for UX Designers in Belgium with 3-7 years of experience. The "Part-time" nature means the actual salary will be a fraction of a full-time equivalent. Benefits like access to AI tools and a professional development budget are particularly relevant for a role focused on emerging technologies. The remote-first and flexible hours are key selling points for modern talent.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, Design Services, AI Solutions, Consultancy. The partner company likely operates within the digital product development space, leveraging AI to enhance design and user experience for its clients.

Company Size: As Jobgether posts for partner companies, the actual size of the hiring entity is not specified. However, the mention of "multiple client projects" and a "fast-moving, multi-client setup" suggests a dynamic, potentially agency or consultancy-like environment, which can range from small, specialized teams to larger organizations.

Founded: Not specified. Jobgether's founding date is 2021, indicating a relatively modern platform focused on AI-driven recruitment.

Team Structure:

• The UX design team likely consists of skilled designers who are comfortable working independently and collaboratively.

• There will be close collaboration with product managers and engineers, forming cross-functional project teams.

• The role also implies interaction with client stakeholders, requiring strong client management and presentation skills.

Methodology:

• Data Analysis & Insights: Emphasis on leveraging both traditional and AI-assisted methods for user research and data interpretation to drive design decisions.

• Workflow Planning & Optimization: Focus on creating efficient, scalable design workflows, with AI playing a key role in accelerating processes like ideation, prototyping, and asset generation.

• Automation & Efficiency: A core tenet of the role is to identify and implement AI-driven automation opportunities within the design lifecycle to improve output quality and speed.

Company Website: Jobgether.com (for the platform), but the partner company's website is not directly provided.

📝 Enhancement Note: The culture is likely to be innovative, forward-thinking, and focused on leveraging technology, particularly AI, to deliver exceptional results for clients. The multi-client environment suggests a need for adaptability and strong stakeholder management.

📈 Career & Growth Analysis

Operations Career Level: This role represents a Mid-to-Senior level UX Designer position. It requires not just execution skills but also the ability to lead projects, influence processes, and mentor others in AI-driven design practices. The "AI-Forward" aspect positions it at the cutting edge of UX design careers.

Reporting Structure: The designer will likely report to a Lead UX Designer, Design Manager, or a Head of Design within the partner company. They will also work closely with Product Managers and Engineering Leads on project-specific teams.

Operations Impact: The impact of this role is significant. By integrating AI into the UX design process, the designer directly contributes to:

• Faster product development cycles.

• Enhanced user experience through more innovative and data-informed designs.

• Increased efficiency and cost-effectiveness in design operations.

• Shaping the future of design methodologies within the organization and for clients.

Growth Opportunities:

• Specialization in AI Design: Deepen expertise in AI-driven design tools, generative AI for UX, and AI ethics in design, becoming a sought-after specialist.

• Leadership in Design Process Innovation: Take on responsibilities for evolving internal design methodologies, leading AI adoption initiatives, and potentially managing design teams or projects focused on AI.

• Client Relationship Management: Develop skills in managing client expectations, presenting complex AI-driven design solutions, and acting as a strategic design partner.

• Cross-Functional Expertise: Gain deeper insights into product management and engineering workflows, enhancing end-to-end product development understanding.

• Continuous Learning: Benefit from a professional development budget to explore new AI technologies, design techniques, and leadership skills.

📝 Enhancement Note: The growth opportunities are heavily skewed towards specialization in AI and leadership in process innovation. This role is ideal for a designer looking to be at the forefront of technological advancements in their field and potentially move into more strategic or leadership positions related to AI and design.

🌐 Work Environment

Office Type: The role is "Fully Remote-first," meaning there is no central office requirement. This provides maximum flexibility for the candidate to work from their preferred location within Belgium.

Office Location(s): Belgium. While remote, candidates are expected to be legally authorized to work in Belgium. This might be due to client requirements, tax regulations, or company policy for remote employees.

Workspace Context:

• Collaborative Environment: Despite being remote, the culture emphasizes collaboration. Expect frequent virtual meetings, use of collaborative design tools (like Figma), and team communication platforms (like Slack, Teams).

• Tools & Technology: Access to advanced AI tools and design software will be provided or supported, ensuring a cutting-edge technological environment.

• Team Interaction: Opportunities for interaction will be through scheduled virtual meetings, design critiques, brainstorming sessions, and informal team check-ins, fostering a connected remote team experience.

Work Schedule: Flexible working hours are a key feature, allowing individuals to structure their work around project deadlines and personal needs, while ensuring availability for key collaborative sessions and client interactions.

📝 Enhancement Note: The "Fully Remote-first" nature with a "Belgium" location requirement suggests that while physical presence isn't mandatory, legal/tax considerations tie the role to Belgium. This setup prioritizes flexibility and autonomy, typical of modern tech and design roles, while still requiring strong virtual collaboration skills.

📄 Application & Portfolio Review Process

Interview Process:

1. Initial Application & AI Screening: Your application will be processed by Jobgether's AI matching system, which assesses core requirements.

2. Portfolio Review: Shortlisted candidates will have their portfolios reviewed by the hiring partner. Focus on clear case studies demonstrating AI integration, your design process, and project outcomes.

3. Hiring Manager/Team Interview: Expect an interview with the hiring manager or key team members to discuss your experience, approach to AI-driven design, and cultural fit. This may include behavioral questions.

4. Design Challenge/Case Study Presentation: You might be asked to complete a take-home design challenge or present a detailed case study from your portfolio, focusing on problem-solving and communication of AI's role.

5. Final Interview: Potentially with senior leadership, focusing on strategic thinking, alignment with company values, and long-term potential.

Portfolio Review Tips:

• Highlight AI Integration: Clearly mark and explain how AI tools were used in each project. Quantify benefits where possible (e.g., "reduced ideation time by X%," "generated Y design variations").

• Showcase Process: Detail your thought process, user research methodologies (especially AI-assisted ones), and design decisions. Use diagrams, user flows, and wireframes.

• Focus on Impact: Explain the problem you solved, the solution you designed, and the measurable impact or outcome for the user and business.

• Figma Proficiency: Ensure your Figma skills are evident, perhaps through interactive prototypes or complex component examples.

• Tailor to Role: Emphasize projects that align with agency/consultancy work and multi-client environments if applicable.

Challenge Preparation:

• AI Application: If given a challenge, think about how AI could be used to solve the problem or accelerate your process.

• Structured Presentation: Prepare a clear, concise presentation of your work, focusing on problem, process, solution, and impact.

• Stakeholder Communication: Practice articulating your design rationale and the value of AI integration to potentially non-design stakeholders.

📝 Enhancement Note: The process emphasizes both technical UX skills and the strategic application of AI. The portfolio is critical, and candidates should be prepared to articulate the "why" and "how" behind their AI tool usage. The AI screening by Jobgether means ensuring keywords and relevant experience are clearly visible on the resume and application.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Essential for UI design, prototyping, and collaboration. Proficiency with its AI features and plugins is a must.

• Generative AI Platforms: Experience with tools like Midjourney, DALL-E, Stable Diffusion for ideation, asset creation, or concept exploration.

• AI-Assisted Research Tools: Familiarity with platforms that help analyze user feedback, synthesize research data, or generate insights from large datasets.

• Prototyping Tools: Beyond Figma, familiarity with tools like Adobe XD, InVision, or others that facilitate interactive prototypes.

Analytics & Reporting:

• User Analytics Platforms: Experience with tools like Google Analytics, Amplitude, Mixpanel to understand user behavior and inform design iterations.

• Survey & Feedback Tools: Platforms for collecting and analyzing user feedback (e.g., SurveyMonkey, Typeform, Hotjar).

CRM & Automation:

• While not core to UX design, understanding how design outputs integrate with CRM systems (like Salesforce) or marketing automation platforms can be beneficial for context.

📝 Enhancement Note: The technology stack is heavily weighted towards modern design tools and AI applications. Proficiency in Figma and a demonstrated ability to integrate generative AI are non-negotiable. Experience with AI-assisted research tools is a significant advantage.

👥 Team Culture & Values

Operations Values:

• Innovation & Experimentation: A strong drive to explore new technologies, particularly AI, and experiment with novel design approaches.

• User-Centricity: A deep commitment to understanding and advocating for user needs, even when leveraging advanced technologies.

• Efficiency & Scalability: Focus on creating design solutions and processes that are not only effective but also efficient and scalable, with AI as a key enabler.

• Collaboration & Transparency: Open communication and a collaborative spirit, essential for working effectively in a remote, multi-client environment.

• Continuous Learning: A dedication to staying updated with the rapidly evolving fields of UX design and artificial intelligence.

Collaboration Style:

• Remote-First & Asynchronous: Expect a blend of synchronous (video calls, live design sessions) and asynchronous communication (Slack messages, documented feedback) to accommodate flexible schedules.

• Cross-Functional Integration: Designers are expected to work closely with product managers, engineers, and other stakeholders, sharing insights and collaborating on integrated solutions.

• Feedback-Rich Environment: A culture that encourages constructive feedback on designs and processes, with an openness to iterative improvement.

📝 Enhancement Note: The culture likely values proactivity, adaptability, and a passion for emerging technologies. The emphasis on AI suggests a team that is forward-thinking and eager to push boundaries in design.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapidly Evolving AI Landscape: Keeping pace with the constant advancements in AI tools and techniques requires continuous learning and adaptation.

• Integrating AI Effectively: Moving beyond superficial AI use to truly embed AI into design workflows in a way that adds genuine value and doesn't compromise user experience.

• Balancing AI Efficiency with Creativity: Ensuring that AI-driven automation doesn't stifle human creativity or lead to generic design solutions.

• Client Education & Buy-in: Effectively communicating the benefits and application of AI-driven design to clients who may not be familiar with these technologies.

• Remote Collaboration: Maintaining strong team cohesion and effective communication in a fully remote, part-time, multi-client setting.

Learning & Development Opportunities:

• AI Design Specialization: Opportunities to become a leader in AI-driven UX design, potentially attending specialized workshops or conferences.

• Tool Proficiency: Deepening expertise in advanced AI design tools and platforms as they emerge.

• Strategic Design Leadership: Developing skills in influencing product strategy and design methodology through AI integration.

• Cross-Industry Exposure: Working on diverse client projects offers broad exposure to different business challenges and industry best practices.

• Professional Development Budget: Dedicated resources for formal training, certifications, and attendance at relevant industry events.

📝 Enhancement Note: The primary challenge lies in navigating the fast-paced AI landscape and strategically integrating these tools. Growth opportunities are abundant for those who embrace this challenge and become experts in AI-forward design.

💡 Interview Preparation

Strategy Questions:

• "Describe a project where you significantly leveraged AI tools to accelerate your UX design process. What were the specific tools, what was the impact, and what were the challenges?" (Focus on concrete examples and quantifiable results.)

• "How do you balance the efficiency gains from AI with the need for human creativity and original design thinking?" (Discuss your approach to augmented creativity.)

• "Imagine a client is hesitant to adopt AI in their design process. How would you present the value proposition and address their concerns?" (Demonstrate client management and persuasive communication skills.)

Company & Culture Questions:

• "What interests you most about working with AI-forward design and our multi-client model?" (Connect your passion to the role's core aspects.)

• "How do you stay updated with the latest trends in both UX design and artificial intelligence?" (Highlight your commitment to continuous learning.)

Portfolio Presentation Strategy:

• Narrative Flow: Structure your case studies with a clear beginning (problem), middle (process/AI integration), and end (solution/impact).

• Visual Clarity: Use high-quality visuals for mockups, wireframes, and user flows. Ensure they are easy to understand.

• Quantify Impact: Whenever possible, use metrics to demonstrate the success of your designs and the efficiency gains from AI.

• Articulate AI Role: Explicitly state which AI tools were used, why they were chosen, and how they contributed to the outcome.

• Engage the Audience: Be prepared to answer questions and discuss your design decisions, demonstrating your expertise and passion.

📝 Enhancement Note: Interview preparation should heavily focus on showcasing practical, hands-on experience with AI in design. Candidates need to be articulate about their process, the tools they use, and the tangible benefits they deliver. The portfolio is the primary evidence, so being able to present it effectively is crucial.

📌 Application Steps

To apply for this AI-Forward UX Designer position:

• Submit your application through the provided link on Jobgether.

• Tailor your Resume: Ensure your resume clearly highlights your 3-7+ years of UX/UI experience, specific AI tool usage, proficiency in Figma, and any agency/multi-client experience. Use keywords such as "Generative AI," "AI-Assisted Research," "Figma AI," "Design Systems," etc.

• Curate Your Portfolio: Select 2-4 of your strongest projects that best showcase your AI integration in design, end-to-end UX process, and client-facing capabilities. Ensure each case study has a clear narrative and highlights the impact of your work.

• Prepare Your Presentation: Practice walking through your portfolio, focusing on explaining your process, the role of AI, and the outcomes. Be ready to discuss your design philosophy and enthusiasm for AI in design.

• Research Jobgether & AI Design Trends: Understand Jobgether's AI-driven matching process and familiarize yourself with current trends and ethical considerations in AI-driven UX design to inform your answers.

⚠️ 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.