AI-Forward UX Designer

📍 Job Overview

Job Title: AI-Forward UX Designer

Company: Jobgether (on behalf of a partner company)

Location: United Kingdom

Job Type: Part-time

Category: UX/UI Design, AI Integration

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 a diverse range of client projects, from initial discovery and user research through to wireframing, prototyping, and final design handoff.

• Leverage cutting-edge AI-powered tools, including generative design platforms and advanced Figma AI features, to significantly accelerate the ideation, prototyping, and asset creation phases of the design lifecycle.

• Conduct and synthesize user research utilizing AI-assisted methodologies to extract deep insights from qualitative and quantitative data, including interviews, surveys, and behavioral analytics.

• Champion and implement AI-first design practices, contributing to the evolution of internal design methodologies and workflows to enhance efficiency and output quality in a modern, technology-driven environment.

📝 Enhancement Note: This role is positioned as "AI-Forward," indicating a strong emphasis on integrating generative AI and other AI tools into the core UX design workflow. Candidates are expected to be not just proficient users of design tools but also early adopters and innovators in applying AI to design challenges. The "Part-time" nature of the role suggests flexibility, potentially allowing for focused project work or a condensed schedule, which is common in consultancy or agency-like settings where multiple client projects are managed.

📈 Primary Responsibilities

• Spearhead the complete UX design lifecycle for multiple client engagements, encompassing user discovery, in-depth research, user journey mapping, wireframing, interactive prototyping, and seamless design system handoff to development teams.

• Proactively integrate AI-powered design tools and features within Figma and other platforms to rapidly generate UI mockups, interactive prototypes, and design assets, thereby enhancing design velocity and exploring a wider solution space.

• Employ AI-assisted methods to analyze and synthesize user research data, extracting actionable insights from user interviews, survey responses, and behavioral data to inform user-centered design decisions.

• Apply established design thinking and product thinking frameworks to clearly define user problems, map critical user journeys, and rigorously validate proposed solutions with internal stakeholders and external clients.

• Develop, maintain, and evolve scalable design systems, comprehensive UI component libraries, and detailed documentation to ensure design consistency and brand integrity across all client projects.

• Foster strong collaborative relationships with cross-functional teams, including product managers, software engineers, AI specialists, and direct clients, to translate complex requirements into intuitive and impactful user experiences.

• Effectively present design concepts, rationale, and findings to clients and internal teams, clearly articulating the benefits and efficiency gains derived from AI-driven design workflows.

• Actively contribute to the continuous improvement of internal design methodologies and best practices, advocating for and championing the adoption of AI-first design principles across the organization.

📝 Enhancement Note: The responsibilities highlight a blend of core UX/UI design leadership and a strong mandate for AI integration. The emphasis on "multiple client projects" and "agency, consultancy, or multi-client environments" suggests a dynamic, fast-paced setting requiring adaptability and strong client-facing skills. The requirement to "contribute to evolving internal design methodologies" indicates a role that influences team processes.

🎓 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 beneficial. Candidates are expected to demonstrate equivalent practical knowledge and experience.

Experience: 3–7+ years of dedicated UX/UI design experience with a proven track record in delivering user-centered digital products. Experience in agency, consultancy, or multi-client environments is highly valued, showcasing adaptability across diverse industries and project types.

Required Skills:

• Demonstrated end-to-end UX/UI design expertise, evidenced by a robust portfolio showcasing successful digital product design projects.

• Proven, hands-on experience integrating AI tools (e.g., generative design platforms, AI assistants, AI-enhanced research tools) into daily design workflows for tasks such as prototyping, research analysis, or content generation.

• Advanced proficiency in Figma, with a deep understanding of its features and a strong familiarity with AI-enabled plugins and design acceleration capabilities.

• Solid grasp of fundamental design principles, including design thinking, product thinking, and human-centered design methodologies.

• Experience navigating and succeeding within agency, consultancy, or multi-client project structures, requiring adaptability and broad industry exposure.

• Aptitude for analyzing both qualitative and quantitative user research data, translating complex insights into clear, actionable design recommendations.

• Exceptional communication and presentation skills, with a history of leading client-facing workshops, design reviews, or project presentations.

Preferred Skills:

• Experience with other design and prototyping tools beyond Figma.

• Familiarity with front-end development principles (HTML, CSS, JavaScript) to facilitate effective collaboration with engineering teams.

• Experience in establishing and scaling design systems.

• Knowledge of specific AI technologies and their applications in design (e.g., natural language processing for user feedback analysis, computer vision for visual design generation).

📝 Enhancement Note: The requirements emphasize practical application of AI in design, not just theoretical knowledge. The portfolio is critical for demonstrating this. The experience level (3-7+ years) and the mention of agency/consultancy settings suggest a need for self-direction, client management, and the ability to work across various project scopes and industries.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive portfolio that clearly articulates your role, the challenges faced, the design process employed, and the measurable impact of your UX/UI contributions across multiple projects.

• Specific examples demonstrating the application of AI tools within your design process, showcasing how these tools accelerated ideation, improved prototyping, or enhanced user research insights.

• Case studies that detail your approach to user research, wireframing, prototyping, and final design handoff, with a focus on user-centered outcomes.

• Evidence of your ability to build and maintain design systems or contribute to their evolution, ensuring scalability and consistency across projects.

Process Documentation:

• Showcase your ability to document and explain your design processes, particularly how you integrate AI tools into each stage from discovery to implementation.

• Provide examples of how you've mapped user journeys, defined user problems, and used research insights to drive design decisions.

• Illustrate how you ensure quality and consistency through design systems, component libraries, and handoff procedures.

📝 Enhancement Note: The portfolio is paramount for this role, particularly for demonstrating practical application of AI in design. Candidates should prepare to walk through their projects, highlighting specific AI tools used, the problems they solved, and the results achieved. The "multi-client" context suggests that showcasing adaptability and diverse project types will be beneficial.

💵 Compensation & Benefits

Salary Range: As this is a part-time, remote role in the UK, and specific salary figures are not provided, a competitive range would typically fall between £35,000 - £60,000 per annum (pro-rata for part-time hours), depending on the exact number of hours worked, the candidate's experience level, and the specific partner company's compensation structure. This estimate is based on industry benchmarks for mid-to-senior level UX Designers in the UK market, adjusted for a remote and part-time arrangement.

Benefits:

• Competitive compensation package: Reflecting the candidate's skills and experience.

• Fully remote-first environment: Offering flexibility and the ability to work from anywhere within the UK.

• Flexible working hours: Allowing for better work-life integration and alignment with project demands.

• Access to cutting-edge AI tools and design technologies: Providing the latest software and platforms to enhance design capabilities.

• Opportunity to work on diverse, high-impact client projects: Gaining exposure to a wide range of industries and challenges.

• Collaborative team culture: Working alongside experienced designers, engineers, and AI specialists.

• Professional development budget: Allocated for continuous learning through training, courses, certifications, and industry conferences.

• Opportunity to influence and shape AI-driven UX design practices: A chance to be at the forefront of a rapidly evolving field.

Working Hours: The role is advertised as "Part-time," with the "Fully remote-first environment with flexible working hours" benefit suggesting that the exact number of hours per week can be negotiated. A standard part-time arrangement might range from 15-25 hours per week, though this should be clarified during the application process.

📝 Enhancement Note: The salary estimate is a projection based on typical UK market rates for this experience level and role type, adjusted for part-time and remote work. The benefits package is strong, with a particular emphasis on professional development and access to advanced AI tools, aligning with the "AI-Forward" nature of the role.

🎯 Team & Company Context

🏢 Company Culture

Industry: The partner company operates within the technology and digital design services sector, likely focusing on AI-driven solutions and innovative digital product development. Jobgether itself is a platform focused on streamlining the hiring process using AI.

Company Size: Jobgether, as the platform posting the role, is a technology company. The partner company's size is not specified, but the nature of managing multiple client projects and using advanced AI tools suggests it could be a specialized design agency, a consultancy firm, or a boutique innovation lab. This environment typically fosters agility, innovation, and a focus on cutting-edge technologies.

Founded: Jobgether was founded to leverage AI in recruitment. The founding date of the partner company is not specified, but its focus on "AI-Forward UX Design" implies it's a modern entity or has significantly adapted its operations to embrace AI.

Team Structure:

• The UX design team likely consists of skilled designers who are adept at both traditional UX methodologies and emerging AI technologies.

• The reporting structure will depend on the partner company's organization, but in an agency/consultancy setting, designers often report to a Design Lead, Creative Director, or Project Manager.

Methodology:

• Data Analysis and Insights: Emphasis on using AI tools to enhance user research, analyze behavioral data, and extract actionable insights for design decisions.

• Workflow Planning and Optimization: Focus on streamlining design processes through AI integration, aiming for increased efficiency and faster iteration cycles.

• Automation and Efficiency Practices: Proactively adopting and developing AI-driven workflows to automate repetitive tasks, accelerate prototyping, and improve overall design output quality.

Company Website: https://jobgether.com/ (for Jobgether), the partner company's website is not provided.

📝 Enhancement Note: The culture is likely forward-thinking, innovative, and fast-paced, driven by the integration of AI. Candidates should expect a high degree of collaboration and a focus on continuous learning and experimentation, especially within the context of AI's rapid evolution in design.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned at a Mid-Senior level, indicated by the 3-7+ years of experience requirement. It's a hands-on design role with leadership responsibilities for specific client projects and a mandate to influence internal design methodologies. The "AI-Forward" aspect suggests this role is at the cutting edge of UX practice.

Reporting Structure: While the specifics depend on the partner company, a typical structure for this level in an agency/consultancy would involve reporting to a Design Manager, Creative Director, or a Senior Project Lead. Collaboration will be broad, involving direct interaction with clients and cross-functional teams.

Operations Impact: The UX Designer will directly impact client project success by creating intuitive, effective, and user-centered digital products. By leveraging AI, they will also influence the operational efficiency of the design team and set new standards for how design work is executed, contributing to overall business growth and client satisfaction.

Growth Opportunities:

• Specialization in AI-Driven Design: Deepen expertise in applying generative AI and other AI technologies to UX/UI design, becoming a leader in this niche. Potential for roles like Senior AI UX Designer or AI Design Strategist.

• Design Leadership: Progress into roles with greater project management responsibilities, team leadership, or client strategy, potentially leading to a Design Lead or Creative Director position.

• Process Innovation: Contribute significantly to shaping the future of design workflows within the organization and for its clients, influencing best practices and tool adoption.

• Continuous Learning: Access to a professional development budget supports ongoing skill enhancement through courses, certifications, and conferences, keeping pace with rapid technological advancements.

📝 Enhancement Note: This role offers a unique opportunity to gain specialized experience at the intersection of UX design and AI, a high-demand area. Growth potential is strong for those who excel in this niche and can demonstrate leadership in process innovation and client success.

🌐 Work Environment

Office Type: The role is advertised as "Fully remote-first." This means there is no central office requirement, and employees are expected to work from their own locations. Collaboration and communication will occur primarily through digital channels.

Office Location(s): The role is specified for the "United Kingdom." However, as it's fully remote, candidates can work from anywhere within the UK, provided they have a suitable home working setup.

Workspace Context:

• Collaborative Environment: While remote, the culture emphasizes collaboration. Expect regular online meetings, use of collaboration tools (e.g., Slack, Miro, Figma's multiplayer features), and team check-ins to foster a connected team experience.

• Operations Tools and Technology: Access to a comprehensive suite of design tools, including advanced AI-powered software and platforms, will be provided or supported. Reliable internet connectivity and a personal workspace are essential.

• Team Interaction: Opportunities for interaction will be through virtual channels, including team meetings, design critiques, client calls, and potentially virtual social events or workshops.

Work Schedule: As a "Part-time" role with "flexible working hours," candidates will have significant autonomy over their schedule. However, they will need to be available for core team meetings, client calls, and project deadlines, often requiring coordination across different time zones if collaborating internationally, though the primary focus is UK.

📝 Enhancement Note: The fully remote nature requires strong self-discipline and excellent asynchronous communication skills. Candidates should be comfortable working independently while actively participating in a virtual team environment. The flexibility in hours is a key benefit for work-life balance.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Likely involves an AI-powered review by Jobgether, followed by a human review by the partner company to assess basic qualifications and alignment with the role.

• Portfolio Review: A critical stage where candidates present their portfolio, focusing on UX/UI design projects and, crucially, their practical application of AI tools. Prepare to discuss specific case studies, design decisions, and the impact of AI integration.

• Technical/Skills Assessment: This might include a design challenge or a deep-dive interview focusing on Figma proficiency, design thinking principles, and AI tool usage.

• Team/Cultural Fit Interview: Discussions with potential team members or hiring managers to assess collaboration style, problem-solving approach, and alignment with the company's AI-first culture.

• Final Interview: Potentially with senior leadership to discuss strategic fit and long-term vision.

Portfolio Review Tips:

• Curate Strategically: Select 3-5 of your strongest projects that best showcase your UX/UI skills, client management experience, and, most importantly, your innovative use of AI in design.

• Structure for Impact: For each project, clearly outline the problem, your role, the process (emphasizing AI integration), your solutions, and the measurable outcomes. Use visuals effectively.

• Highlight AI Application: Dedicate specific sections or call-outs within your case studies to detail how you used AI tools. Quantify benefits where possible (e.g., "reduced ideation time by X%", "explored Y more design concepts").

• Demonstrate Process Thinking: Explain your design methodology and how AI enhances it. Show adaptability to different project needs and client requirements.

• Practice Your Presentation: Be ready to present your portfolio concisely and engagingly, answering questions about your design rationale and AI tool choices.

Challenge Preparation:

• AI Tool Familiarity: Brush up on current AI design tools and plugins for Figma, generative AI platforms, and AI-assisted research methodologies.

• Design Thinking & Problem Solving: Be prepared to tackle a design problem using a structured approach, potentially incorporating AI into your proposed solution.

• Communication Skills: Practice articulating your thought process clearly and concisely, especially when explaining complex technical or design concepts to both technical and non-technical audiences.

📝 Enhancement Note: The interview process will heavily weigh the candidate's ability to demonstrate practical, results-driven application of AI in their design work. The portfolio is the primary tool for this demonstration.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Advanced proficiency is a core requirement, including hands-on experience with AI-enabled plugins and features designed to accelerate design workflows.

• AI-Powered Design Platforms: Experience with generative design tools, AI assistants for UI generation, content creation, or idea exploration. Examples might include tools like Uizard, Galileo AI, or Figma's native AI features.

• Prototyping Tools: Beyond Figma, familiarity with other prototyping tools for creating interactive mockups.

• User Research Tools: Tools for qualitative and quantitative data collection and analysis, with an emphasis on those that can leverage AI for insights extraction.

Analytics & Reporting:

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

• A/B Testing Tools: Familiarity with platforms used to test design variations and measure their impact.

• Data Visualization Tools: Ability to interpret and present data insights, possibly using tools integrated within analytics platforms or dedicated BI tools.

CRM & Automation:

• While not a core CRM role, understanding how design integrates with product development pipelines and potentially CRM data for user segmentation could be beneficial.

• Familiarity with project management and collaboration tools such as Jira, Asana, Trello, or Slack.

• Understanding of integration concepts might be useful for collaborating with engineering on how design systems connect with development workflows.

📝 Enhancement Note: The emphasis is on Figma and AI tools. Candidates should be prepared to discuss their specific experiences with these technologies and how they leverage them to achieve design outcomes.

👥 Team Culture & Values

Operations Values:

• Innovation & AI-First Mindset: A strong commitment to exploring, adopting, and integrating AI technologies into all aspects of the design process. This involves a willingness to experiment and push boundaries.

• User-Centricity: A fundamental dedication to understanding and solving user needs through thoughtful, human-centered design, even when leveraging advanced technologies.

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

• Efficiency & Excellence: A drive for delivering high-quality design solutions efficiently, with a focus on optimizing workflows and maximizing impact through intelligent tool usage.

• Continuous Learning: A proactive approach to professional development, staying abreast of the rapidly evolving landscape of AI and UX design.

Collaboration Style:

• Remote-First Collaboration: Proficient in using digital tools for seamless communication, co-creation, and feedback exchange across distributed teams.

• Cross-functional Integration: Ability to work effectively with product managers, engineers, and AI specialists, bridging the gap between design and technical implementation.

• Client-Focused Partnership: Engaging with clients in a consultative manner, understanding their business objectives, and co-creating solutions that meet their strategic goals.

• Iterative Design Culture: Embracing feedback loops and iterative refinement as integral parts of the design process, informed by user insights and AI-generated possibilities.

📝 Enhancement Note: The culture values proactive adoption of new technologies, particularly AI, combined with strong design fundamentals and collaborative spirit. Candidates should demonstrate enthusiasm for innovation and a readiness to contribute to a forward-thinking team.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapidly Evolving AI Landscape: Keeping pace with the constant advancements in AI technologies and their applications in design requires continuous learning and adaptation.

• Balancing AI Efficiency with Human Creativity: Effectively integrating AI tools without stifling human creativity or compromising design quality.

• Client Education on AI Integration: Communicating the value and methodology of AI-driven design to clients who may be less familiar with these technologies.

• Multi-Client Project Management: Juggling diverse project requirements, timelines, and stakeholder expectations across multiple client engagements in a remote setting.

Learning & Development Opportunities:

• Specialized AI Design Training: Access to resources and potential company-sponsored courses focused on advanced AI tools and their application in UX/UI.

• Industry Conferences & Workshops: Opportunities to attend events focused on AI in design, UX innovation, and digital product development.

• Mentorship: Potential to learn from senior designers and AI specialists within the organization or partner companies.

• Exposure to Diverse Projects: Working on a variety of client projects offers broad experience and skill development across different industries and problem spaces.

📝 Enhancement Note: The challenges are inherent to working at the forefront of AI in design. The growth opportunities are significant for individuals who are adaptable, eager to learn, and can effectively navigate these challenges.

💡 Interview Preparation

Strategy Questions:

• "Describe a project where you significantly leveraged generative AI to accelerate your UX design process. What were the specific tools, challenges, and outcomes?"

• "How do you approach user research in an AI-first environment? What AI tools have you used to gather and analyze insights, and what were the results?"

• "Walk us through your process for designing a complex UI component or feature using AI-assisted tools in Figma. How did you ensure consistency and quality?"

Company & Culture Questions:

• "What interests you most about working at the intersection of AI and UX design?"

• "How do you stay updated with the latest advancements in AI technologies relevant to design?"

• "Describe a time you had to adapt your design process or tools due to new technology. How did you approach it?"

Portfolio Presentation Strategy:

• Focus on AI Integration: Clearly articulate how and why you used specific AI tools in your case studies. Quantify the benefits where possible.

• Show, Don't Just Tell: Use visuals, interactive prototypes, and clear diagrams to illustrate your design process and solutions.

• Tell a Story: Frame each project as a narrative with a clear problem, your strategic approach (including AI), your solutions, and the impact.

• Be Prepared for Deep Dives: Expect questions about your design rationale, decision-making process, and how you handled challenges, especially those related to AI implementation.

• Highlight Adaptability: Showcase projects that demonstrate your ability to work across different industries and with various client needs.

📝 Enhancement Note: Interviewers will be looking for a combination of strong UX fundamentals, practical AI application experience, and a forward-thinking, adaptable mindset. The portfolio is your primary tool to showcase these qualifications.

📌 Application Steps

To apply for this AI-Forward UX Designer position:

• Submit your application through the provided link, ensuring your resume and portfolio are up-to-date and tailored to this role.

• Curate Your Portfolio: Select 3-5 key projects that best highlight your UX/UI expertise and, critically, your practical application of AI tools in design. Prepare to discuss the specific AI tools used, the problems they helped solve, and the outcomes achieved.

• Optimize Your Resume: Ensure your resume clearly states your years of experience, proficiency with Figma and AI design tools, and any relevant experience in agency or multi-client settings. Use keywords from the job description.

• Prepare for Portfolio Presentation: Practice presenting your portfolio, focusing on storytelling, clear articulation of your design process (especially AI integration), and quantifiable results. Be ready to answer in-depth questions about your work.

• Research Jobgether and AI in Design: Understand Jobgether's AI-powered hiring approach and research current trends and best practices in AI-driven UX/UI design to demonstrate your understanding and enthusiasm.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details, particularly regarding compensation and the specific partner company, should be verified directly with the hiring organization or Jobgether before making application decisions.