AI-Forward UX Designer

📍 Job Overview

Job Title: AI-Forward UX Designer

Company: Jobgether (on behalf of a partner company)

Location: Austria

Job Type: Part-time

Category: User Experience (UX) Design / Product Design

Date Posted: May 6, 2026

Experience Level: 3-7+ Years

Remote Status: Fully Remote

🚀 Role Summary

• Lead end-to-end UX design processes across multiple client projects, leveraging AI-powered tools for accelerated ideation and prototyping.

• Drive user research initiatives using AI-assisted methods to extract actionable insights from diverse data sources.

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

• Contribute to the evolution of internal design methodologies, championing AI-first design practices within a dynamic, multi-client environment.

• Develop and maintain robust design systems, UI components, and documentation to ensure brand consistency and efficient design handoffs.

📝 Enhancement Note: This role is positioned as a "Part-time" position, which is unusual for a senior-level UX Designer role that often involves leading end-to-end projects. The AI-powered matching process mentioned by Jobgether suggests a data-driven approach to candidate evaluation, so highlighting quantifiable achievements in AI integration and process optimization will be crucial.

📈 Primary Responsibilities

• Spearhead the entire UX design lifecycle for diverse client engagements, from initial discovery and user research to the creation of wireframes, interactive prototypes, and final design specifications for development.

• Harness advanced generative AI tools (e.g., Figma AI features, dedicated AI design platforms) to rapidly generate UI mockups, explore design variations, and create high-fidelity prototypes, significantly reducing iteration times.

• Conduct and synthesize user research, employing AI-assisted qualitative and quantitative analysis techniques to identify user pain points, needs, and behavioral patterns from interviews, surveys, and usage data.

• Apply established design thinking and product thinking frameworks to define user problems, map user journeys, and validate proposed solutions through collaborative workshops and stakeholder feedback sessions.

• Design, build, and maintain scalable design systems, including comprehensive UI component libraries and detailed documentation, ensuring a consistent and cohesive user experience across all client projects.

• Foster strong collaborative relationships with product managers, engineering teams, and client stakeholders, ensuring clear communication and alignment on design goals and technical feasibility.

• Articulate design concepts, rationale, and the strategic advantages of AI-driven workflows, effectively demonstrating improvements in efficiency, output quality, and innovation to clients and internal teams.

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

📝 Enhancement Note: The emphasis on "AI-Forward" and "AI-First" design suggests that candidates will be expected to showcase specific examples of how they've integrated AI tools into their design process, not just general UX skills. The multi-client environment implies a need for strong project management and adaptability.

🎓 Skills & Qualifications

Education: A Bachelor's or Master's degree in Design (e.g., Interaction Design, Graphic Design, HCI), Computer Science, or a related field is preferred, though equivalent practical experience will be strongly considered.

Experience: 3-7+ years of progressive experience in User Experience (UX) and User Interface (UI) design, with a demonstrated track record of successfully delivering digital products.

Required Skills:

• Portfolio: A strong, well-curated portfolio showcasing end-to-end UX/UI design projects, with a clear emphasis on user-centered digital product design and problem-solving.

• AI Integration: Proven hands-on experience and practical application of AI tools within daily design workflows, including but not limited to AI-assisted prototyping, design generation, research synthesis, or content creation.

• Figma Proficiency: Advanced proficiency in Figma, including hands-on experience with AI-enabled plugins, generative design features, and collaborative design workflows.

• Design Methodologies: Deep understanding and practical application of design thinking, product thinking, and human-centered design principles.

• Agency/Multi-Client Experience: Experience working within agency, consultancy, or multi-client environments, demonstrating adaptability and the ability to navigate diverse industries and project requirements.

• Research & Analysis: Ability to expertly analyze qualitative and quantitative research data, translating complex insights into actionable design decisions and strategic recommendations.

• Communication & Presentation: Excellent verbal and written communication skills, with demonstrable experience in leading client-facing workshops, design reviews, and presenting design concepts with compelling rationale.

• Mindset: A strong sense of curiosity, a proactive experimentation mindset, and genuine enthusiasm for exploring and adopting emerging AI technologies to enhance design workflows.

Preferred Skills:

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

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

• Experience in building and managing design systems from scratch.

• Knowledge of AI ethics and inclusive design principles in AI-powered interfaces.

• Experience with user research platforms and methodologies beyond basic surveys and interviews.

📝 Enhancement Note: The "3-7+ years" experience range is broad. Candidates at the higher end of this spectrum should emphasize leadership in AI integration and methodology development, while those at the lower end should focus on strong foundational skills and clear examples of AI tool application. The requirement for a "strong portfolio" is paramount, especially one that visually demonstrates AI tool usage.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Case Studies: Minimum of 3-5 comprehensive case studies detailing the UX/UI design process for digital products, clearly outlining the problem, your role, the design process, AI tool integration, solutions, and measurable outcomes.

• AI Integration Showcase: Specific sections or dedicated case studies highlighting how AI tools were used to accelerate specific phases of the design process (e.g., ideation, wireframing, user journey mapping, content generation, A/B testing variations). Quantify the impact where possible (e.g., "reduced ideation time by X%," "generated Y design variations in Z hours").

• System Design Examples: Demonstrations of experience with designing or contributing to design systems, including examples of UI components, style guides, and documentation that promote consistency and scalability.

• Prototyping & Interaction: Examples of interactive prototypes that showcase user flows, interaction design, and the overall user experience, preferably developed or enhanced using AI tools.

• Research Synthesis: Evidence of synthesizing user research findings into actionable insights, ideally showing how AI tools assisted in this analysis.

Process Documentation:

• Candidates should be prepared to discuss and potentially present examples of how they document their design processes, including:
  • Workflow Design: How they map out and optimize design workflows, particularly those incorporating AI tools.
  • Implementation & Automation: How they integrate AI tools into their daily workflow for efficiency and automation.
  • Measurement & Analysis: How they measure the impact of their design decisions and the efficiency gains from AI integration on project outcomes.

📝 Enhancement Note: The portfolio is the most critical component for this role. Candidates must be prepared to not only show their design work but also articulate the "how" and "why" behind their AI tool usage and its impact on the design process and outcomes. Emphasizing ROI and efficiency improvements will be key.

💵 Compensation & Benefits

Salary Range: Given the part-time nature, the compensation will likely be hourly or project-based. For a senior UX Designer with 3-7+ years of experience, particularly one with AI specialization, in Austria, an estimated hourly rate could range from €40 to €70, depending on specific skills and project scope. This translates to approximately €3,200 - €5,600 per month for a full-time equivalent, but will be pro-rated for part-time hours.

Benefits:

• Competitive Compensation Package: A fair and competitive salary or hourly rate commensurate with experience and skills.

• Fully Remote-First Environment: The ability to work from anywhere within Austria, offering significant flexibility and work-life balance.

• Flexible Working Hours: Adaptable work schedule to accommodate personal needs and optimize productivity, aligning with part-time employment.

• Access to Cutting-Edge AI Tools: Provided with licenses and access to the latest AI-powered design technologies and platforms to facilitate advanced work.

• Diverse Client Project Exposure: Opportunity to work on a variety of high-impact client projects across different industries, fostering continuous learning and broad experience.

• Collaborative Team Culture: A supportive environment with opportunities to collaborate with experienced designers, product managers, engineers, and AI specialists.

• Professional Development Budget: Funding for continuous learning, including courses, certifications, conferences, and training relevant to AI and UX design advancements.

• Influence on Future Practices: The chance to play a pivotal role in shaping and defining the future of AI-driven UX design methodologies.

Working Hours: This is a part-time position, with the exact number of hours to be agreed upon with the hiring company. The remote-first nature and flexible working hours allow for significant autonomy in managing one's schedule, provided project deadlines and client needs are met.

📝 Enhancement Note: The "Part-time" designation is a critical factor. Candidates should clarify expectations regarding hours, project scope, and how compensation will be structured (hourly vs. fixed project fee). The salary estimate is based on general market rates for experienced UX designers in Austria and should be considered a guideline, as specific project needs and the partner company's budget will influence the final offer.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology / Design Services / AI Integration. The partner company likely operates in a space that bridges design consultancy with AI innovation, serving clients seeking to implement cutting-edge digital solutions.

Company Size: Undisclosed, but the mention of "multiple client projects" and "cross-functional teams" suggests a medium-sized agency or consultancy, or a larger organization with specialized design units.

Founded: Undisclosed. However, the focus on "AI-Forward" and "evolving modern design workflows" implies a company that is forward-thinking and embraces innovation.

Team Structure:

• Operations: The partner company likely has a lean operational structure focused on project delivery and client management.

• Design Team: The UX design team is described as collaborative, comprising designers, engineers, and AI specialists, indicating a multidisciplinary approach to problem-solving.

• Reporting: While specific reporting lines are not detailed, this role likely reports to a Design Lead, Head of Design, or a Project Manager, with direct interaction with client stakeholders.

Methodology:

• AI-Driven Design: A core methodology emphasizing the integration of AI tools throughout the design process, from research and ideation to prototyping and iteration.

• Agile/Lean Principles: Likely follows agile or lean methodologies to manage multiple client projects efficiently, allowing for rapid iteration and adaptation.

• Data-Informed Design: A strong reliance on user research, analytics, and behavioral data, amplified by AI insights, to inform design decisions.

Company Website: [Jobgether operates as a platform, but the partner company's website is not directly provided. Candidates should inquire about the specific client company for more detailed insights.]

📝 Enhancement Note: Jobgether acts as an intermediary, so understanding the culture of the partner company is crucial. Candidates should be prepared to ask detailed questions about the partner company's specific work environment, client portfolio, and internal processes during interviews.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as an experienced "AI-Forward UX Designer." It implies a senior individual contributor role with significant autonomy and responsibility for leading design initiatives on client projects. The emphasis on evolving methodologies also suggests potential for influence and thought leadership within the design practice.

Reporting Structure: The designer will likely report to a Design Manager or Project Lead within the partner company. They will collaborate closely with Product Managers and Engineering teams on client projects. The Jobgether platform itself manages the initial application process, not the direct reporting structure within the client company.

Operations Impact: The primary impact of this role is on the success of client digital products through exceptional user experience design, significantly enhanced by AI. This includes driving user adoption, improving engagement metrics, and ensuring client satisfaction, which in turn contributes to the partner company's revenue and reputation. The role also impacts internal operations by refining and advancing AI-driven design methodologies.

Growth Opportunities:

• Specialization: Deepen expertise in AI-driven UX design, becoming a recognized specialist in emerging technologies for design.

• Leadership: Transition into a Design Lead or Senior Project Manager role, overseeing multiple client projects and mentoring junior designers.

• Methodology Development: Contribute significantly to shaping and refining the AI-first design practices for the partner company, potentially leading internal workshops or knowledge-sharing sessions.

• Client Relationship Management: Develop stronger client-facing skills and strategic advisory capabilities, becoming a key point of contact for strategic design initiatives.

• Broader Skillset: Gain exposure to various industries and business challenges, broadening strategic product thinking and problem-solving capabilities.

📝 Enhancement Note: While this is a part-time role, the growth opportunities suggest a pathway for increased involvement or specialization. Candidates should inquire about potential for full-time conversion or increased hours based on performance and project needs.

🌐 Work Environment

Office Type: The position is advertised as "Fully Remote-First." This means the primary work environment is digital and independent, with no mandatory office attendance. However, the partner company might occasionally organize optional in-person client meetings or team retreats.

Office Location(s): While the role is remote, it is based in Austria. This suggests that candidates should ideally be located within Austria, potentially to align with client needs or local employment regulations. Specific office locations for the partner company are not disclosed, but remote work removes location constraints for day-to-day tasks.

Workspace Context:

• Independent Workstation: Candidates are expected to have a suitable home office setup with reliable internet connectivity to perform their duties effectively.

• Digital Collaboration Tools: The environment will heavily rely on digital collaboration platforms (e.g., Slack, Zoom, Miro, Figma) for communication, ideation, and design reviews.

• AI Tool Integration: Access to and proficient use of AI design tools will be a constant feature of the workspace, enabling rapid iteration and exploration.

• Cross-Functional Interaction: Opportunities for regular interaction with product managers, engineers, and clients through virtual meetings and collaborative design sessions.

Work Schedule: The role is part-time with flexible working hours. This allows for significant autonomy in structuring the workday. However, candidates must be available for core collaboration times, client meetings, and timely project delivery, which may require some overlap with standard business hours in Europe.

📝 Enhancement Note: The "remote-first" aspect is a significant benefit for work-life balance. However, candidates should seek clarity on any expectations for occasional in-person meetings or client site visits, even if rare, and how these might be managed.

📄 Application & Portfolio Review Process

Interview Process:

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

• Partner Company Screening: If the AI assessment is positive, the shortlist is passed to the partner company for review.

• Hiring Manager Interview: An initial interview with the hiring manager or a senior team member to assess experience, AI integration skills, and cultural fit. Expect questions about your portfolio and specific AI tools used.

• Design Challenge/Portfolio Review: A more in-depth session where candidates present their portfolio, focusing on AI integration in design workflows, and potentially complete a short design exercise or discuss a case study related to AI-driven design.

• Cross-Functional Interview: An interview with team members from product management and engineering to assess collaboration skills and technical understanding.

• Final Interview: Potentially with a company leader to discuss broader strategic alignment and long-term vision.

Portfolio Review Tips:

• Highlight AI Integration: Dedicate specific slides or sections to showcase how you've used AI tools. Use visuals and concrete examples of prompts, generated outputs, and how they informed your design decisions.

• Quantify Impact: Wherever possible, use metrics to demonstrate the value of your AI-assisted designs (e.g., time saved, efficiency gains, user engagement improvements, conversion rate increases).

• Storytelling: Frame your case studies as narratives. Clearly articulate the problem, your process (emphasizing AI's role), the solution, and the impact.

• Adaptability: Showcase your ability to adapt your AI usage to different project needs and client requirements.

• Clarity & Conciseness: Be prepared to walk through your portfolio efficiently, highlighting the most relevant projects for this AI-focused role.

Challenge Preparation:

• AI Tool Familiarity: Be ready to discuss your experience with specific AI design tools and their capabilities.

• Problem-Solving: Prepare to tackle a design problem that might involve leveraging AI for research, ideation, or rapid prototyping. Think about how you would approach such a challenge.

• Methodology Articulation: Be able to clearly articulate your design process, especially how you integrate AI, and how you measure its effectiveness.

• Client Communication: Practice explaining complex design decisions and AI integration strategies in a clear, concise manner suitable for both technical and non-technical stakeholders.

📝 Enhancement Note: The emphasis on AI integration means candidates should be prepared to discuss specific AI tools beyond just Figma's AI features, such as generative AI platforms for ideation, AI-powered research analysis tools, and potentially AI for content generation.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Expert-level proficiency is required, with a strong focus on its AI-enabled features, plugins, and collaborative capabilities.

• Generative AI Platforms: Familiarity with AI tools for generating UI mockups, design assets, content, or exploring design variations (e.g., Midjourney, Stable Diffusion for image generation, AI-powered text generators for copy, or specialized AI design assistants).

• Prototyping Tools: Advanced use of Figma's prototyping features, and potentially experience with other tools like InVision, ProtoPie, or Axure.

• Design System Tools: Experience with tools for managing and documenting design systems (e.g., Zeroheight, Storybook, or Figma's component features).

Analytics & Reporting:

• User Analytics Platforms: Familiarity with tools like Google Analytics, Mixpanel, Amplitude, or Hotjar to understand user behavior and track design impact.

• AI-Assisted Research Synthesis: Tools or techniques that leverage AI to analyze qualitative and quantitative user research data.

• A/B Testing Tools: Experience with platforms that facilitate A/B testing of design variations to optimize user flows and conversions.

CRM & Automation:

• Project Management Tools: Proficiency with tools like Jira, Asana, Trello, or Monday.com for managing project workflows and tasks.

• Collaboration & Communication: Slack, Microsoft Teams, Zoom, Google Workspace for seamless team communication and virtual meetings.

• Knowledge Management: Tools like Confluence or Notion for documentation and sharing design knowledge.

📝 Enhancement Note: Candidates should be prepared to discuss their specific experience with AI tools beyond Figma. Prioritizing tools that directly accelerate design workflows (ideation, prototyping, asset generation) will be key.

👥 Team Culture & Values

Operations Values:

• Innovation & Forward-Thinking: A driving value to constantly explore and integrate new technologies, particularly AI, to push the boundaries of design.

• User-Centricity: A commitment to understanding and serving user needs through intuitive and effective design solutions, enhanced by AI insights.

• Collaboration & Cross-Functionality: A culture that fosters strong partnerships between design, product, engineering, and clients, leveraging diverse perspectives.

• Efficiency & Optimization: A focus on streamlining processes and workflows, with AI serving as a key enabler for enhanced productivity and output quality.

• Continuous Learning: An environment that encourages and supports ongoing professional development, especially in rapidly evolving fields like AI and UX.

Collaboration Style:

• Remote-First & Asynchronous: While real-time collaboration is important, the team likely embraces asynchronous communication and documentation to accommodate remote work and flexible hours.

• Data-Driven & Iterative: Decisions are grounded in research and data, with a willingness to iterate and refine designs based on feedback and performance metrics.

• Open Communication: Encouraging open dialogue, constructive feedback, and knowledge sharing among team members to foster collective growth and problem-solving.

• AI Partnership: A collaborative approach where AI tools are viewed as partners to augment human creativity and efficiency, rather than replacements.

📝 Enhancement Note: The "AI-Forward" aspect likely permeates all team values. Candidates should be prepared to discuss how they embody innovation, efficiency, and continuous learning through the lens of AI integration.

⚡ Challenges & Growth Opportunities

Challenges:

• Adoption of New AI Tools: Staying abreast of the rapidly evolving AI landscape and quickly learning and integrating new tools into existing workflows.

• Balancing AI and Human Creativity: Effectively leveraging AI for efficiency without stifling original creative thought or compromising user experience quality.

• Client Education on AI: Communicating the value and capabilities of AI-driven design to clients who may have varying levels of understanding or skepticism.

• Ethical Considerations of AI in Design: Navigating potential biases in AI-generated outputs and ensuring ethical, inclusive design practices.

• Part-Time Workload Management: Effectively managing multiple client projects and responsibilities within a part-time framework, requiring strong prioritization and time management.

Learning & Development Opportunities:

• AI in Design Specialization: Opportunities to become a recognized expert in AI applications for UX/UI design, potentially through courses, certifications, or leading internal initiatives.

• Exposure to Diverse Industries: Working with various clients provides broad exposure to different business models, user demographics, and industry challenges, enhancing strategic thinking.

• Mentorship: Potential to be mentored by senior designers or AI specialists within the partner company, or to mentor junior designers as the team grows.

• Tool Mastery: Deep dive into advanced features of Figma and other AI design tools, becoming a power user and potentially an internal resource.

📝 Enhancement Note: Candidates should frame the challenges as opportunities for growth. For example, the challenge of "client education" can be presented as an opportunity to develop stronger stakeholder management and strategic communication skills.

💡 Interview Preparation

Strategy Questions:

• "Describe a project where you significantly used AI tools to accelerate your UX design process. What was the impact?" (Focus on specific tools, outcomes, and your role.)

• "How do you stay updated with the latest advancements in AI for design? What resources do you rely on?" (Demonstrate continuous learning and proactivity.)

• "Imagine you need to design a complex feature for a new product with a tight deadline. How would you leverage AI tools to meet this challenge?" (Showcase practical application and problem-solving.)

Company & Culture Questions:

• "What excites you most about working in an 'AI-Forward' design environment?" (Gauge enthusiasm and alignment with the company's vision.)

• "How do you approach collaboration with engineers and product managers, especially when integrating AI-driven design outputs?" (Assess teamwork and communication.)

• "Describe a time you had to adapt your design process due to new technology or client feedback. How did you handle it?" (Evaluate adaptability and resilience.)

Portfolio Presentation Strategy:

• Structure: Begin with an overview of your experience and your approach to AI in design. Then, present 2-3 key case studies, dedicating specific time to highlight AI integration within each.

• Visuals: Use clear, high-quality visuals. For AI-generated elements, show the prompts used, the raw output, and your refined design.

• Narrative: Tell a compelling story for each project, focusing on the problem, your process (with AI's role), the solution, and quantifiable outcomes.

• Engagement: Be prepared for questions throughout the presentation. Encourage interaction and address concerns directly.

• Conciseness: Keep your presentation focused and within the allotted time, prioritizing the most relevant examples.

📝 Enhancement Note: Candidates should prepare to discuss both the "how" (tools, techniques) and the "why" (strategic benefits, efficiency gains) of their AI integration. Being able to articulate the ROI of AI in design will be critical.

📌 Application Steps

To apply for this AI-Forward UX Designer position:

• Submit your application through the provided Jobgether link.

• Portfolio Customization: Tailor your portfolio to prominently feature projects demonstrating AI tool integration. Highlight specific AI applications in your design process, quantifying impact where possible.

• Resume Optimization: Ensure your resume clearly articulates your experience with AI in design, UX/UI expertise, and agency/multi-client environments. Use keywords such as "Generative AI," "Figma AI," "AI-Assisted Research," and "AI-First Design."

• Prepare Your Narrative: Practice articulating your design process, your approach to AI integration, and your experience with Figma and other relevant tools. Be ready to present your portfolio with a strong focus on AI's role in achieving project goals.

• Research the Partner Company: If possible, try to gather more information about the specific partner company you would be working with to understand their industry focus and potential client types. Inquire about this during the interview process.

⚠️ 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.