AI-Forward UX Designer

📍 Job Overview

Job Title: AI-Forward UX Designer

Company: Jobgether (on behalf of a partner company)

Location: Ireland

Job Type: Part-time

Category: User Experience (UX) Design / Product Design

Date Posted: May 6, 2026

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

Remote Status: Fully Remote

🚀 Role Summary

• Lead end-to-end UX design processes across multiple client projects, from initial discovery and user research through to wireframing, prototyping, and final design handoff.

• Leverage advanced AI-powered tools, including generative design platforms and Figma AI features, to significantly accelerate the creation of UI mockups, interactive prototypes, and essential design assets.

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

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

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

📝 Enhancement Note: This role is positioned as "AI-Forward," indicating a strong emphasis on integrating cutting-edge AI technologies into the core UX design workflow. The responsibilities suggest a hands-on design role with a significant strategic component, requiring the candidate to not only execute designs but also to influence and evolve the design process itself using AI. The "Part-time" nature might suggest a project-based or flexible engagement suitable for experienced professionals seeking focused contributions.

📈 Primary Responsibilities

• Drive the complete UX design lifecycle for a portfolio of client projects, encompassing discovery workshops, user interviews, persona development, journey mapping, wireframing, interactive prototyping, and final design specifications for development handoff.

• Actively utilize generative AI tools and AI-enhanced features within design software (e.g., Figma AI plugins) to rapidly generate design variations, explore multiple UI concepts, and create functional prototypes, thereby enhancing design velocity.

• Employ AI-driven analytics and synthesis techniques to process large volumes of user feedback, survey data, and behavioral metrics, translating complex insights into actionable design recommendations and strategic product improvements.

• Champion and apply design thinking methodologies, user-centered design principles, and agile product development frameworks to ensure that all design solutions are aligned with user needs, business objectives, and technical feasibility.

• Develop, document, and manage a comprehensive design system, including reusable UI components, style guides, and interaction patterns, ensuring scalability and consistency for rapid deployment across client engagements.

• Foster strong collaborative relationships with product managers, engineers, data scientists, and client stakeholders, facilitating clear communication and effective design reviews to ensure alignment and successful project outcomes.

• Present design rationale, user insights, and proposed solutions to internal teams and clients, articulating the value proposition of AI-driven design workflows in terms of efficiency gains, enhanced creativity, and improved user experience outcomes.

• Contribute to the continuous improvement of internal design processes and best practices, actively researching and advocating for the adoption of new AI technologies and methodologies to enhance the organization's overall design capabilities.

📝 Enhancement Note: The responsibilities highlight a blend of strategic leadership in design process innovation (AI integration) and hands-on execution. The mention of "multi-client setup" and "agency, consultancy, or multi-client environments" in the requirements implies a need for adaptability and strong stakeholder management skills, typical of operations-focused roles that support diverse business units.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a Bachelor's or Master's degree in Human-Computer Interaction (HCI), Interaction Design, Graphic Design, Computer Science, or a related field is often preferred. Equivalent practical experience and a strong portfolio will be heavily weighted.

Experience: A minimum of 3 to 7+ years of dedicated experience in UX/UI design, with a substantial portion focused on digital product design and a proven track record of successfully delivering user-centered solutions.

Required Skills:

• Comprehensive expertise in end-to-end UX design processes, including user research methodologies, information architecture, interaction design, wireframing, prototyping, and usability testing.

• Proven hands-on experience integrating and leveraging AI tools (e.g., generative design platforms, AI-powered research analysis tools, AI features within design software) into daily design workflows to improve efficiency and quality.

• Advanced proficiency in industry-standard design and prototyping tools, with a specific emphasis on Figma and its AI-enabled plugins or acceleration features.

• Strong command of design thinking, product thinking, and human-centered design principles, with the ability to apply them in complex problem-solving scenarios.

• Demonstrated ability to analyze and synthesize qualitative and quantitative user research data, translating findings into actionable design decisions and strategic recommendations.

• Excellent verbal and written communication skills, with proven experience presenting design concepts, user insights, and project outcomes to diverse audiences, including clients and cross-functional teams.

• A demonstrable portfolio showcasing a range of user-centered digital product designs, highlighting problem-solving capabilities, design process, and the impact of your contributions.

Preferred Skills:

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

• Familiarity with Agile development methodologies and collaborating within cross-functional Agile teams.

• Experience working in an agency, consultancy, or multi-client environment, demonstrating adaptability across various industries and project types.

• Basic understanding of front-end development principles (HTML, CSS, JavaScript) to facilitate effective design handoffs.

• Experience conducting and presenting user research findings to executive-level stakeholders.

📝 Enhancement Note: The emphasis on AI tools and Figma AI features indicates a need for candidates who are not just proficient but also forward-thinking and adaptable. The "3-7+ years" experience level suggests a need for candidates who can lead projects and mentor others, rather than just execute tasks. The portfolio requirement is critical for demonstrating practical application of these skills.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive digital portfolio that clearly articulates your design process, problem-solving approach, and the impact of your work on user experience and business outcomes.

• Specific case studies demonstrating end-to-end UX design projects, detailing the problem statement, your role, the methodologies used (including AI integration), design solutions, and measurable results.

• Examples of wireframes, user flows, interactive prototypes, and final UI designs, showcasing your proficiency with design tools like Figma, especially its AI features.

• Evidence of user research synthesis and how insights were translated into design decisions, ideally with examples of AI-assisted analysis.

Process Documentation:

• Showcase examples of how you document design processes, including user journey maps, information architecture diagrams, and design system documentation, with an emphasis on efficiency and scalability.

• Provide insight into how you manage design iterations and feedback loops, particularly in a multi-client or fast-paced environment, highlighting your ability to adapt and refine workflows.

• Demonstrate your understanding of design handoff processes to development teams, including how you ensure clarity and consistency, potentially using AI-assisted tools for documentation or asset generation.

📝 Enhancement Note: For a role emphasizing AI, the portfolio should explicitly showcase how AI tools were integrated into projects. This includes demonstrating the process of using AI, not just the output. The "multi-client" aspect suggests a need for portfolio pieces that show adaptability and project management within diverse contexts.

💵 Compensation & Benefits

Salary Range: For a Part-time, Remote UX Designer with 3-7+ years of experience in Ireland, the estimated salary range would typically fall between €40,000 - €70,000 annually, pro-rated for part-time hours. This estimate is based on industry benchmarks for experienced UX Designers in Western Europe, considering the demand for AI-related skills and the remote work model.

Benefits:

• Competitive compensation package commensurate with experience and part-time engagement.

• Fully remote-first environment, offering significant 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, to support advanced workflow integration.

• Opportunity to work on diverse, high-impact client projects across a variety of industries, fostering broad experience.

• Collaborative team culture that includes designers, engineers, and AI specialists, promoting knowledge sharing and cross-functional learning.

• Professional development budget allocated for training, courses, certifications, and conferences, encouraging continuous skill enhancement in AI and UX.

• The chance to influence and shape the future of AI-driven UX design practices within a forward-thinking organization.

Working Hours: This is a part-time position. While a standard full-time week is typically 40 hours, the exact number of hours per week will be agreed upon based on project needs and candidate availability, with flexibility offered.

📝 Enhancement Note: The salary estimate is based on average part-time rates for experienced UX Designers in Ireland, adjusted for the specialized AI skill set. The benefits list is directly extracted from the job description and highlights key advantages for remote, AI-focused professionals.

🎯 Team & Company Context

🏢 Company Culture

Industry: The partner company likely operates within the technology, consulting, or digital product development sectors, focusing on leveraging AI for design and user experience. The "AI-Forward" positioning suggests an innovative and tech-centric environment.

Company Size: Jobgether itself is a platform, but the partner company's size is not specified. However, the nature of the role (part-time, client projects) suggests it could be a consultancy, an agency, or a specialized design studio.

Founded: The founding date of the partner company is not provided.

Team Structure:

• The operations team structure is likely project-based, with designers, product managers, engineers, and AI specialists forming cross-functional teams for specific client engagements.

• Reporting would likely be to a Design Lead, Project Manager, or a senior member of the client engagement team, depending on the project hierarchy.

Methodology:

• Data analysis and insights methods will heavily involve AI-assisted tools for processing user feedback and behavioral data.

• Workflow planning and optimization strategies will focus on integrating AI to streamline ideation, prototyping, and research phases.

• Automation and efficiency practices will be central, with a mandate to explore and implement AI-driven solutions to enhance design output and speed.

Company Website: The primary website for applying is Jobgether's platform (jobs.lever.co/jobgether), but the partner company's specific website is not directly linked.

📝 Enhancement Note: The context implies a dynamic, client-facing environment where efficiency and innovation are paramount. The "AI-Forward" aspect suggests a culture that embraces experimentation and continuous learning in emerging technologies.

📈 Career & Growth Analysis

Operations Career Level: This role sits at a mid-to-senior level within the UX design discipline. It demands not only advanced design skills but also the capability to lead design initiatives, integrate new technologies like AI, and manage client relationships effectively. It's a role that bridges hands-on design execution with strategic process evolution.

Reporting Structure: While working on client projects, the designer will likely report to a project lead or a design manager within the partner company. For internal matters related to design process and AI adoption, there might be direct interaction with senior leadership or innovation leads.

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

• Increased Efficiency: Accelerating design cycles, reducing time-to-market for new features and products.

• Enhanced Creativity: Exploring a wider range of design possibilities through AI-generated concepts.

• Improved User Outcomes: Ensuring that AI-driven products are intuitive, effective, and user-centered.

• Process Optimization: Establishing new, more efficient design workflows that serve as a competitive advantage for the company and its clients.

Growth Opportunities:

• AI Specialization: Deepen expertise in AI applications for design, becoming a go-to specialist in generative design, AI-assisted research, and predictive UX.

• Design Leadership: Progress to leading larger client projects, managing design teams, or heading up the UX function for specific client engagements.

• Process Innovation: Play a key role in defining and implementing the company's AI-first design strategy, potentially leading internal R&D or methodology development.

• Cross-functional Expertise: Gain broader exposure to product management, engineering, and AI development, leading to more holistic product development understanding.

📝 Enhancement Note: The growth opportunities are strongly tied to the AI aspect of the role, positioning it as a pathway to becoming a leader in a cutting-edge design field. The "part-time" nature might influence the pace of progression, but the impact and learning potential remain high.

🌐 Work Environment

Office Type: This role is fully remote, meaning there is no central office to attend. The work environment is entirely digital and home-based.

Office Location(s): The role is based in Ireland, but the "fully remote-first" nature means that physical location within Ireland may offer flexibility, or the role might be open to candidates in specific time zones within Ireland (e.g., GMT/IST).

Workspace Context:

• The workspace is your personal home office, requiring a reliable internet connection and a conducive environment for focused work and virtual collaboration.

• Access to cutting-edge AI tools and design technologies will be provided digitally, forming the core of your operational toolkit.

• Opportunities for interaction will primarily be through video conferencing, collaborative design platforms (like Figma), and communication tools (e.g., Slack, email), fostering a digitally connected team environment.

Work Schedule: This is a part-time position with flexible working hours. While a standard full-time role might be 40 hours, this position will require fewer hours, to be negotiated based on project demands and candidate availability. The flexibility allows for managing personal commitments alongside client project work.

📝 Enhancement Note: The remote-first, flexible aspect is a significant draw for many professionals. The emphasis on digital collaboration tools and AI technology implies a modern, tech-enabled work environment.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Your application will be processed by Jobgether's AI matching system to assess core requirements. Shortlisted candidates are then passed to the partner company.

• Hiring Manager/Team Interview: Expect a virtual interview with the hiring manager or key team members to discuss your experience, design philosophy, and specific expertise with AI tools.

• Portfolio Review & Design Challenge: A crucial stage will involve presenting your portfolio and potentially undertaking a design challenge. This challenge will likely focus on AI integration, problem-solving, and your process for handling complex design tasks.

• Client/Stakeholder Interview (Potentially): Depending on the project structure, you might have an opportunity to interact with a client or senior stakeholders to assess cultural fit and communication style.

• Final Decision: The partner company's internal team will manage the final decision and offer process.

Portfolio Review Tips:

• Highlight AI Integration: Dedicate specific sections or case studies to how you've used AI tools in your design process. Quantify the benefits (e.g., "reduced ideation time by X%", "generated Y% more design options").

• Showcase Process: Clearly articulate your thought process, research methodologies, and how you translate complex problems into user-centered solutions, emphasizing your adaptability and experimental mindset.

• Figma Proficiency: Be ready to demonstrate your advanced Figma skills, particularly any AI-plugin usage or innovative techniques you employ.

• Client Project Experience: If applicable, use examples that show your ability to manage client expectations, present effectively, and deliver impactful designs in a consultancy or agency setting.

• Conciseness and Clarity: Ensure your portfolio is well-organized, easy to navigate, and clearly communicates your value proposition, especially regarding AI-driven design.

Challenge Preparation:

• AI-Centric Problems: Anticipate design challenges that require you to leverage AI. This could involve generating initial concepts, optimizing existing designs with AI suggestions, or using AI to analyze hypothetical user data.

• Process Articulation: Be prepared to walk through your entire design process, from problem definition to solution presentation, explaining your choices and the role AI played at each stage.

• Efficiency Focus: Demonstrate an understanding of how to use AI to achieve efficiency gains without compromising user experience quality.

• Communication: Practice presenting your thoughts and deliverables clearly and concisely, as if presenting to a client or a mixed-discipline team.

📝 Enhancement Note: The emphasis on AI in both the role and the application process means candidates must be prepared to demonstrate practical, hands-on experience with AI tools, not just theoretical knowledge. The portfolio is the primary vehicle for this demonstration.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Essential for UI design, prototyping, and collaboration, with a specific need for proficiency in its AI-enabled features and plugins.

• Generative Design Platforms: Experience with AI tools that assist in generating visual assets, UI layouts, or design concepts (specific platforms may vary, but familiarity with the concept is key).

• User Research Tools: Platforms for conducting surveys, usability testing, and analyzing user behavior. AI-assisted analysis tools for synthesizing qualitative and quantitative data are highly valued.

• Prototyping Tools: Advanced capabilities in prototyping within Figma or other relevant tools to create interactive user flows.

Analytics & Reporting:

• Tools for analyzing user behavior data and website/app analytics.

• Capability to interpret AI-driven insights from research and user feedback platforms.

CRM & Automation:

• While not a direct CRM role, an understanding of how UX design impacts CRM performance and customer journeys is beneficial.

• Familiarity with workflow automation concepts, especially how AI can automate design tasks or processes, is a plus.

• Experience with project management and collaboration tools (e.g., Jira, Asana, Slack) for effective team communication and task tracking.

📝 Enhancement Note: The core technology focus is on design software (Figma) and AI tools. Proficiency in Figma's AI features is a specific requirement, suggesting a need for candidates who stay ahead of the curve in software capabilities.

👥 Team Culture & Values

Operations Values:

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

• User-Centricity: A deep commitment to understanding and solving user problems through thoughtful, data-informed design.

• Efficiency & Optimization: A dedication to streamlining processes and leveraging tools like AI to maximize output and impact.

• Collaboration & Transparency: Openness to sharing ideas, feedback, and learnings across cross-functional teams and with clients.

• Continuous Learning: A proactive approach to staying current with advancements in AI, UX design, and related technologies.

Collaboration Style:

• Cross-functional Integration: Working seamlessly with product managers, engineers, and AI specialists to ensure holistic product development.

• Agile & Iterative: Embracing a dynamic, iterative approach to design, with frequent feedback loops and adjustments based on user insights and stakeholder input.

• Knowledge Sharing: Actively participating in design critiques, sharing best practices, and mentoring peers, especially concerning AI applications in design.

📝 Enhancement Note: The culture values forward-thinking individuals who are comfortable with experimentation and continuous learning, especially in the rapidly evolving field of AI. The collaborative nature implies a team that relies on shared expertise.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapidly Evolving AI Landscape: Keeping pace with the swift advancements in AI technology and continuously integrating new tools and techniques into the design workflow.

• Balancing AI Efficiency with Human Creativity: Ensuring that AI augmentation enhances, rather than replaces, human creativity and strategic design thinking.

• Client Education & Adoption: Guiding clients on the benefits and application of AI-driven design, potentially overcoming skepticism or unfamiliarity.

• Ethical AI in Design: Navigating the ethical considerations of using AI in design, such as bias in algorithms, data privacy, and responsible AI deployment.

• Project Variety & Pace: Adapting quickly to different client needs, industries, and project timelines within a dynamic, multi-client environment.

Learning & Development Opportunities:

• AI Specialization Courses: Access to training and certifications focused on AI in design, machine learning for creatives, or specific generative AI tools.

• Industry Conferences: Opportunities to attend leading UX and AI conferences to gain insights into emerging trends and network with peers.

• Internal Workshops & Knowledge Sharing: Participating in and potentially leading sessions on AI-driven design practices within the organization.

• Mentorship: Potential for mentorship from senior designers or AI specialists within the partner company or Jobgether network.

📝 Enhancement Note: The challenges are directly related to the cutting-edge nature of the role, requiring proactive learning and adaptation. The growth opportunities are designed to help professionals thrive in this evolving space.

💡 Interview Preparation

Strategy Questions:

• "Describe a situation where you used AI tools to significantly accelerate a UX design project. What tools did you use, what was the outcome, and what did you learn?"

• "How do you approach user research when dealing with complex datasets or large volumes of qualitative feedback? Specifically, how might AI assist in this process?"

• "Imagine you're tasked with designing an AI-powered feature. What are the key ethical considerations you would prioritize, and how would your design process address them?"

Company & Culture Questions:

• "What excites you most about an 'AI-Forward' UX design role, and how do you see AI transforming the future of UX?"

• "How do you stay updated on the latest advancements in AI and design technology, and how do you incorporate this learning into your work?"

Portfolio Presentation Strategy:

• Structure Your Narrative: For each case study, clearly define the problem, your role, the AI tools/methods used (show, don't just tell), your design process, the solution, and the measurable impact.

• Quantify AI's Impact: Use data and metrics to demonstrate how AI improved efficiency, creativity, or user outcomes. For example, "AI-generated X design options in Y minutes," or "AI analysis of user feedback identified Z key pain points."

• Demonstrate Figma AI: Be prepared to showcase specific examples of how you've used AI features within Figma, or with Figma plugins, to enhance your workflow.

• Be Ready for Questions: Anticipate questions about your design choices, your rationale for using specific AI tools, and how you would handle potential challenges or limitations.

📝 Enhancement Note: Interview preparation should heavily focus on practical application of AI in design. Candidates should be ready to articulate their process, quantify results, and discuss the strategic implications of AI in UX.

📌 Application Steps

To apply for this AI-Forward UX Designer position:

• Submit your application through the provided Jobgether link.

• Curate Your Portfolio: Ensure your portfolio prominently features case studies demonstrating your experience with AI tools in UX design, highlighting specific processes and quantifiable results. Tailor your portfolio to showcase your AI proficiency with Figma and generative design tools.

• Optimize Your Resume: Highlight keywords such as "AI," "Generative AI," "Figma AI," "User Research," "Prototyping," "Design Thinking," and "Client Projects." Emphasize achievements related to process improvement and efficiency gains through technology.

• Prepare Your Presentation: Practice walking through your portfolio, focusing on your AI-driven design process. Be ready to discuss your methodology, challenges, and the impact of your work, especially in client-facing scenarios.

• Research AI in Design: Familiarize yourself with current trends and ethical considerations of AI in the design industry. Understand how AI is shaping UX and product development to articulate your vision effectively.

⚠️ 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.