AI-Forward UX Designer

Jobgether
Full-timeSaudi Arabia

📍 Job Overview

Job Title: AI-Forward UX Designer

Company: Jobgether (on behalf of a partner company)

Location: Saudi Arabia

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 across diverse client projects, from discovery and research to final design handoff, with a strong emphasis on AI integration.

  • Leverage advanced generative AI tools and Figma AI features to significantly accelerate ideation, prototyping, and the creation of UI mockups and design assets.

  • Conduct and synthesize user research by employing AI-assisted methodologies for a deeper understanding of user behavior and needs.

  • Apply a blend of design thinking, product thinking, and human-centered design principles to conceptualize and validate user-centered solutions.

  • Build and maintain scalable design systems and UI components to ensure consistency and efficiency across multi-client project portfolios.

📝 Enhancement Note: This role is specifically seeking a UX Designer who is not only proficient in core design principles but also deeply integrated with AI technologies. The emphasis on "AI-Forward" suggests a proactive approach to adopting and integrating AI into every stage of the design lifecycle, from ideation to research synthesis and asset generation. The part-time nature combined with a remote-first environment offers flexibility, but the expectation is for significant impact and leadership in AI-driven design workflows.

📈 Primary Responsibilities

  • Spearhead the complete UX design lifecycle for multiple client engagements, encompassing user research, wireframing, prototyping, and seamless design handoffs.

  • Utilize generative AI platforms and Figma's AI capabilities to rapidly produce high-fidelity UI mockups, interactive prototypes, and essential design assets.

  • Employ AI-assisted techniques to analyze qualitative and quantitative user research data, swiftly extracting actionable insights to inform design decisions.

  • Define user problems, map intricate user journeys, and rigorously validate proposed solutions using established design thinking and product thinking frameworks.

  • Develop and manage comprehensive design systems, reusable UI components, and clear documentation to uphold design consistency across a varied client base.

  • Foster close collaboration with product managers, engineers, and external clients to translate complex requirements into intuitive and scalable user experiences.

  • Articulate design rationale and project outcomes effectively, highlighting the efficiency gains and enhanced output quality derived from AI-driven design workflows.

  • Actively contribute to the continuous improvement of internal design methodologies and champion the adoption of AI-first design practices throughout the organization.

📝 Enhancement Note: The primary responsibilities clearly indicate a senior-level role focused on end-to-end ownership and strategic application of AI within UX design. The "multi-client project setup" suggests a need for strong project management and adaptability in handling diverse industry requirements. The expectation to "evolve internal design methodologies" points to a leadership component where the candidate will influence the team's future approach.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's or Master's degree in Design, Human-Computer Interaction (HCI), Computer Science, or a related field is typically expected for roles of this nature. Equivalent practical experience will also be considered.

Experience: 3–7+ years of progressive experience in UX/UI design, with a demonstrable track record of designing and launching successful digital products.

Required Skills:

  • UX/UI Design Leadership: Demonstrated ability to lead end-to-end UX design processes from discovery through to final delivery.

  • AI Tool Proficiency: Proven hands-on experience integrating generative AI tools (e.g., Midjourney, Stable Diffusion, ChatGPT for design ideation, AI-powered prototyping tools) into daily design workflows.

  • Figma Expertise: Advanced proficiency in Figma, including a strong understanding of its AI-enabled plugins and design acceleration features.

  • Research & Analysis: Ability to conduct user research and analyze qualitative and quantitative data to derive actionable insights for design.

  • Design Methodologies: Solid understanding and practical application of Design Thinking, Product Thinking, and Human-Centered Design principles.

  • Client & Agency Experience: Experience working in agency, consultancy, or multi-client environments, demonstrating adaptability across various industries and project scopes.

  • Communication & Presentation: Excellent verbal and written communication skills, with a proven ability to present design concepts and rationale clearly, including leading client-facing workshops and design reviews.

  • Adaptability & Curiosity: A strong curiosity, an experimentation mindset, and a genuine enthusiasm for adopting and mastering emerging AI technologies in design.

Preferred Skills:

  • Experience with AI-powered research synthesis tools.

  • Familiarity with building and scaling design systems.

  • Experience in rapid prototyping and user testing methodologies.

  • Knowledge of front-end development principles (HTML, CSS, JavaScript) to better collaborate with engineering teams.

  • Experience with A/B testing and data-driven design optimization.

📝 Enhancement Note: The experience requirement of 3-7+ years is typical for a mid-to-senior level designer. The emphasis on "proven hands-on experience using AI tools in daily design workflows" is a critical differentiator, suggesting candidates will be evaluated on their practical application rather than theoretical knowledge of AI in design.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

  • A comprehensive portfolio showcasing end-to-end UX/UI design projects, with a clear emphasis on how AI tools were integrated to enhance the design process and outcomes.

  • Detailed case studies illustrating problem definition, user research, ideation (including AI-assisted concepts), wireframing, prototyping, and final design solutions.

  • Demonstrations of how AI tools were used for tasks such as rapid prototyping, content generation, design asset creation, or research synthesis.

  • Examples of scalability, consistency, and impact within the designed solutions, particularly how design systems or reusable components were leveraged.

Process Documentation:

  • The portfolio should implicitly or explicitly document the design process followed for each project, highlighting iterative improvements and decision-making points.

  • For AI-integrated projects, documentation should detail the specific AI tools used, the prompts or parameters employed, and the resulting impact on efficiency and design quality.

  • Showcase an understanding of how to document and maintain design systems, ensuring clarity for engineering handoff and future development.

📝 Enhancement Note: For an "AI-Forward UX Designer," the portfolio is paramount. It needs to go beyond standard UX deliverables to explicitly demonstrate the candidate's ability to leverage AI tools. This includes showcasing AI-generated artifacts, detailing the process of prompt engineering for design tasks, and quantifying the benefits (speed, efficiency, novelty) AI brought to the projects.

💵 Compensation & Benefits

Salary Range: For a Part-time AI-Forward UX Designer with 3-7+ years of experience in Saudi Arabia, a competitive hourly rate or pro-rated annual salary would be expected. Based on industry benchmarks for specialized remote roles in Saudi Arabia and considering the AI focus, an estimated range could be SAR 30,000 - 60,000 per quarter for part-time work, or an equivalent annual salary of SAR 120,000 - 240,000. This is an estimate and will vary based on the specific partner company, the exact scope of part-time hours, and the candidate's experience.

Benefits:

  • Competitive Compensation Package: A salary commensurate with experience and the specialized nature of the role.

  • Fully Remote-First Environment: The ability to work from anywhere, eliminating commute time and offering greater flexibility.

  • Flexible Working Hours: Adaptable schedules to accommodate personal needs and optimize productivity, while ensuring project deadlines are met.

  • Access to Cutting-edge AI Tools and Design Technologies: Provided by the organization, ensuring the designer has the latest tools to excel.

  • Opportunity to Work on Diverse, High-Impact Client Projects: Exposure to a wide array of industries and challenges, fostering continuous learning and portfolio development.

  • Collaborative Team Culture: A supportive environment with opportunities to engage with designers, engineers, and AI specialists.

  • Professional Development Budget: Funding available for courses, certifications, conferences, and training to enhance skills in AI and UX design.

  • Influence on Future Design Practices: The chance to be at the forefront of shaping AI-driven UX design methodologies.

Working Hours: While this is a part-time position, the exact number of hours per week will likely vary based on project needs. However, the "fully remote-first environment with flexible working hours" suggests a degree of autonomy in managing one's schedule, provided project deliverables and client needs are met. An expectation of 20-30 hours per week is common for part-time roles, but this should be clarified during the interview process.

📝 Enhancement Note: Salary estimation for part-time roles in a specific region can be challenging without defined hours. The estimate provided is based on a general understanding of mid-senior level UX design roles in Saudi Arabia, adjusted for the remote, part-time nature, and a premium for AI specialization. The benefits listed are directly from the job description and are particularly attractive for remote professionals.

🎯 Team & Company Context

🏢 Company Culture

Industry: The partner company operates within the technology and consulting sectors, focusing on digital product design and leveraging advanced technologies like AI. This implies a fast-paced, innovative environment where cutting-edge solutions are paramount.

Company Size: While the exact size of the partner company is not specified, Jobgether's involvement suggests they partner with a range of companies, from startups to established firms. The remote-first nature and multi-client project focus often indicate a lean, agile, and distributed team structure.

Founded: The founding date of the partner company is not provided. However, the emphasis on "AI-Forward" and "emerging AI technologies" suggests it is a company that prioritizes innovation and staying ahead of technological trends.

Team Structure:

  • The UX design team is likely part of a larger product development or digital transformation unit. Given the multi-client project setup, the designer may report to a Design Lead or Project Manager for specific client engagements, with broader organizational alignment for methodology and skill development.

  • Collaboration will be highly cross-functional, involving product managers, engineers, AI specialists, and client stakeholders.

Methodology:

  • AI-Driven Design: The core methodology revolves around integrating AI tools at every stage of the design process to enhance efficiency, creativity, and data analysis.

  • Agile & Iterative: Given the fast-moving nature of technology and client projects, an agile and iterative approach to design and development is expected.

  • Data-Informed Decisions: User research and performance data will be critical inputs, with AI assisting in the rapid synthesis and interpretation of this data.

  • Design Systems: A focus on building and maintaining scalable design systems to ensure consistency and accelerate future development.

Company Website: Not directly provided for the partner company, but Jobgether's website is jobgether.com.

📝 Enhancement Note: The description paints a picture of a modern, tech-forward company that is at the forefront of AI adoption in design. The "multi-client project setup" suggests a dynamic work environment where adaptability and a broad skillset are highly valued.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned at a Mid-Senior to Senior level, indicated by the 3-7+ years of experience requirement and the expectation to "lead end-to-end UX design processes." The "AI-Forward" aspect adds a specialized, in-demand skill set, potentially accelerating career progression.

Reporting Structure: The designer will likely report to a Design Manager, Head of Design, or a specific Project Lead depending on the client structure and organizational setup. Collaboration will be extensive with Product Managers and Engineering leads.

Operations Impact: The impact of this role is significant, directly influencing the user experience of digital products for various clients. By integrating AI, the designer can drive efficiency, reduce time-to-market, and elevate design quality, thereby impacting client success, user satisfaction, and the partner company's reputation for innovation.

Growth Opportunities:

  • Specialization in AI Design: Deepen expertise in AI-driven UX, becoming a leading authority in this rapidly evolving field.

  • Leadership in Design Systems: Take on greater responsibility in architecting and managing design systems across multiple client projects.

  • Mentorship: Guide junior designers and share best practices in AI integration and UX methodologies.

  • Client Relationship Management: Develop stronger client-facing skills and potentially lead design strategy for key accounts.

  • Influence on Internal Processes: Contribute to shaping the future of design practices within the partner organization and its clients.

📝 Enhancement Note: The growth path for this role is strongly tied to the emerging field of AI in design. Professionals who excel here can command significant opportunities in a market hungry for AI expertise. The "part-time" nature might influence the pace of growth compared to a full-time role, but the impact and learning opportunities remain high.

🌐 Work Environment

Office Type: This is a "Fully Remote-First" position, meaning there is no central office requirement. The work is conducted entirely online.

Office Location(s): While the role is based in Saudi Arabia, the remote nature means the designer can work from any location within Saudi Arabia, adhering to any time zone requirements (likely Asia/Riyadh).

Workspace Context:

  • Flexibility & Autonomy: The remote-first setup provides significant autonomy over the work environment, allowing individuals to optimize their personal workspace for productivity and comfort.

  • Digital Collaboration Tools: Heavy reliance on digital collaboration platforms (e.g., Slack, Zoom, Miro, Figma) for communication, ideation, and design reviews.

  • AI Tool Accessibility: Direct access to and utilization of advanced AI tools and design technologies provided by the organization, integrated into the workflow.

  • Cross-functional Interaction: Regular virtual interactions with a global or regional team of designers, engineers, product managers, and clients.

Work Schedule: The "flexible working hours" combined with a "Part-time" employment type allows for significant control over the daily schedule. However, effective collaboration across time zones and with clients will necessitate responsiveness during core business hours or pre-arranged meeting times. The expectation is likely around 20-30 hours per week, to be discussed and agreed upon.

📝 Enhancement Note: The remote-first aspect is a key feature, offering unparalleled flexibility. Candidates should be self-motivated, disciplined, and adept at virtual collaboration to thrive in this environment.

📄 Application & Portfolio Review Process

Interview Process:

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

  • Shortlisting: Top-fitting candidates are shortlisted and their applications shared with the hiring company.

  • Hiring Company Review: The partner company's internal team will review shortlisted applications and portfolios.

  • Interviews: Expect a series of interviews, likely including:

    • Portfolio Review & Discussion: A deep dive into your past projects, focusing on your UX process, design decisions, and crucially, your experience with AI tools. Be prepared to walk through case studies and explain your role and impact.
    • Technical/Skills Assessment: Potentially a design challenge or a discussion about specific AI tools and techniques relevant to UX.
    • Behavioral & Cultural Fit: Questions to assess your collaboration style, problem-solving approach, adaptability, and enthusiasm for AI innovation.
  • Final Decision: Managed by the partner company's internal team.

Portfolio Review Tips:

  • Highlight AI Integration: Make it explicit how and where you used AI tools in your projects. Use visual cues or specific callouts within your case studies.

  • Quantify Impact: Whenever possible, provide metrics or qualitative feedback that demonstrates the benefits of your AI-assisted designs (e.g., "reduced prototyping time by X%", "generated Y% more initial concepts").

  • Showcase Process: Clearly articulate your design process, showing how AI fits in, rather than just presenting final screens. Explain your rationale behind tool choices and prompt engineering.

  • Demonstrate Adaptability: Include projects from different industries or with varying constraints to show your flexibility, especially if you have agency or consultancy experience.

  • Prepare for AI-Specific Questions: Anticipate questions about the ethical considerations of AI in design, the future of AI in UX, and how you stay updated on AI advancements.

Challenge Preparation:

  • AI Design Challenge: If a design challenge is given, consider how you can leverage AI tools (even if it's just for ideation or research synthesis within the challenge timeframe) to showcase your "AI-Forward" approach.

  • Problem-Solving: Practice articulating your problem-solving methodology, emphasizing how you break down complex user problems and ideate solutions, particularly with AI assistance.

  • Presentation Skills: Rehearse presenting your portfolio and any challenges clearly and concisely, ensuring you can explain technical concepts and design rationale effectively.

📝 Enhancement Note: The application process involves both an AI screening via Jobgether and a human review by the partner company. Candidates must tailor their application and portfolio to explicitly address the "AI-Forward" aspect, demonstrating practical application of AI tools in their UX workflow.

🛠 Tools & Technology Stack

Primary Tools:

  • Figma: Core design and prototyping tool, with a specific emphasis on its AI-enabled plugins and features.

  • Generative AI Platforms: Proficiency with a range of AI tools for design tasks such as ideation, wireframing, UI generation, content creation, and asset production (e.g., Midjourney, Stable Diffusion, DALL-E, ChatGPT for design prompts, AI-powered prototyping tools).

  • User Research Tools: Experience with tools that may integrate AI for analysis or participant recruitment.

  • Prototyping Tools: Beyond Figma, familiarity with other advanced prototyping tools.

Analytics & Reporting:

CRM & Automation:

  • Not directly applicable to the core UX design role, but an understanding of how designs integrate into larger product ecosystems or marketing automation workflows could be a plus.

📝 Enhancement Note: The explicit mention of "Figma AI features" and "generative design platforms" highlights the core technology stack. Candidates should be ready to discuss their practical experience with these specific AI integrations within design workflows.

👥 Team Culture & Values

Operations Values:

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

  • User-Centricity: A foundational commitment to understanding and designing for user needs, amplified by AI insights.

  • Efficiency & Optimization: A dedication to streamlining design processes and improving output quality through intelligent workflows and automation.

  • Collaboration & Knowledge Sharing: A culture where team members actively share insights, learn from each other, and work together to achieve project goals.

  • Experimentation & Continuous Learning: An environment that encourages trying new approaches, learning from failures, and embracing ongoing skill development in AI and design.

Collaboration Style:

  • Remote-First & Asynchronous: While synchronous collaboration will occur, the team likely leverages asynchronous communication and documentation to facilitate work across different schedules and locations.

  • Cross-functional Integration: Seamless collaboration with product managers, engineers, and AI specialists to ensure a cohesive product vision and execution.

  • Client-Focused: A strong emphasis on understanding client needs and delivering value through effective design solutions and communication.

  • Feedback-Driven: An open culture for giving and receiving constructive feedback to continuously improve designs and processes.

📝 Enhancement Note: The culture emphasizes a proactive and adaptive approach to design, heavily influenced by AI. Candidates should demonstrate a passion for innovation and a collaborative spirit suited to a remote, project-driven environment.

⚡ 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 Seamlessly: Ensuring AI integration enhances, rather than complicates, the design process and user experience.

  • Managing Multiple Client Projects: Balancing the demands of diverse clients and projects in a part-time capacity requires excellent time management and prioritization skills.

  • Ethical Considerations of AI: Navigating the ethical implications of AI in design, such as bias, data privacy, and job displacement.

  • Defining AI's Role in Design: Articulating and demonstrating the tangible value and ROI of AI-driven design to clients and stakeholders.

Learning & Development Opportunities:

  • Deep Dive into AI Design Tools: Hands-on experience with state-of-the-art AI tools for UX, expanding technical proficiency.

  • Industry Trend Immersion: Staying at the forefront of AI and UX trends through conferences, workshops, and continuous research.

  • Skill Specialization: Developing expertise in niche areas of AI-assisted design, such as generative UI, AI-powered user research analysis, or personalized user experiences.

  • Cross-Industry Exposure: Gaining experience across a variety of sectors, broadening understanding of different user needs and market dynamics.

  • Influence and Thought Leadership: Opportunities to contribute to the evolution of design methodologies and potentially become a recognized voice in AI-driven design.

📝 Enhancement Note: The challenges are directly tied to the cutting edge of AI adoption, offering significant learning opportunities for ambitious designers. The growth path is clear for those who can master these challenges and contribute to the evolving field.

💡 Interview Preparation

Strategy Questions:

  • "Describe your process for leading an end-to-end UX design project, and how you would integrate generative AI tools at each stage."

  • "How do you approach user research, and what AI-assisted methods could you employ to derive deeper insights more rapidly?"

  • "Walk us through a project where you used AI to accelerate your design workflow. What were the specific tools, prompts, and outcomes?"

  • "How do you balance the needs of multiple clients with different project requirements, especially in a part-time, remote setting?"

Company & Culture Questions:

  • "Why are you interested in an 'AI-Forward' UX design role specifically?"

  • "How do you stay updated on the latest advancements in AI and design technologies?"

  • "Describe your ideal remote work environment and how you ensure productivity and collaboration."

Portfolio Presentation Strategy:

  • Structure: Organize your portfolio by project, clearly indicating your role, the problem addressed, your process (highlighting AI integration), challenges, solutions, and outcomes.

  • AI Showcase: Dedicate specific sections or callouts within case studies to demonstrate AI tool usage. Use visuals of AI-generated outputs and explain the prompt engineering involved.

  • Quantify Results: Present quantifiable results (e.g., time savings, efficiency gains, user satisfaction improvements) wherever possible.

  • Narrative: Tell a compelling story for each project, focusing on the user problem, your thoughtful approach, and the impact of your solutions.

  • Engagement: Be prepared to answer in-depth questions about your design decisions, tool choices, and how you would handle hypothetical scenarios.

📝 Enhancement Note: Interview preparation should heavily focus on practical AI application. Candidates must be ready to articulate their process, showcase their portfolio with AI integration as a key theme, and demonstrate a forward-thinking mindset regarding AI's role in design.

📌 Application Steps

To apply for this AI-Forward UX Designer position:

  • Submit your application through the provided link on Jobgether.

  • Portfolio Customization: Ensure your portfolio prominently features projects where you've integrated AI tools. Clearly articulate your process, the specific AI tools used, and the resulting impact on efficiency and design quality.

  • Resume Optimization: Tailor your resume to highlight experience with UX/UI design, generative AI, Figma, user research, and working in multi-client environments. Quantify achievements whenever possible.

  • Prepare for AI-Focused Questions: Anticipate questions about your experience with AI tools, your understanding of their ethical implications, and your vision for AI in UX design. Practice articulating your design process with AI integration.

  • Company Research: Understand Jobgether's role as a platform and research the general landscape of companies that leverage AI in design. While the specific partner company is anonymized, demonstrate enthusiasm for innovative, tech-forward organizations.

⚠️ 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.

Application Requirements

Requires 3-7+ years of UX/UI experience with a strong portfolio and proven hands-on experience integrating AI tools into design workflows. Must be proficient in Figma and experienced in agency or consultancy environments with strong communication skills.