AI-Forward UX Designer

📍 Job Overview

Job Title: AI-Forward UX Designer

Company: Jobgether (on behalf of a partner company)

Location: United States

Job Type: Part-time

Category: UX/UI Design, AI Integration

Date Posted: 2026-05-06

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

Remote Status: Fully Remote

🚀 Role Summary

• Lead end-to-end UX design processes for diverse client projects, from initial discovery through to final design handoff.

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

• Conduct and synthesize user research using AI-assisted methodologies to extract actionable insights from qualitative and quantitative data.

• Champion AI-first design practices, contributing to the evolution of internal design methodologies and workflows within a remote-first environment.

📝 Enhancement Note: This role is specifically posted by Jobgether, acting as an intermediary for a partner company. The emphasis on "AI-Forward" and "generative AI tools" indicates a strong focus on integrating cutting-edge AI into the core design process, not just as an add-on. This suggests the ideal candidate will be proactive in exploring and implementing new AI design paradigms.

📈 Primary Responsibilities

• Spearhead the complete UX design lifecycle for multiple client engagements, encompassing user research, wireframing, prototyping, and final asset delivery.

• Utilize AI-powered platforms and Figma's integrated AI functionalities to rapidly generate UI mockups, interactive prototypes, and a variety of design assets, enhancing design velocity.

• Employ AI-assisted techniques to analyze user interview transcripts, survey responses, and behavioral data, distilling complex findings into clear, actionable design recommendations.

• Apply established design thinking and product thinking frameworks to meticulously define user problems, map intricate user journeys, and validate proposed solutions through effective stakeholder engagement.

• Develop, maintain, and evolve scalable design systems, reusable UI components, and comprehensive documentation to ensure design consistency and efficiency across all client projects.

• Foster close collaboration with product managers, engineers, and clients, translating business requirements and user needs into intuitive, user-centered digital experiences.

• Clearly articulate design rationale and the strategic advantages of AI-driven workflows, demonstrating improvements in efficiency and output quality to stakeholders and clients.

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

📝 Enhancement Note: The responsibility to "Build and maintain scalable design systems, UI components, and documentation" implies a need for a candidate who can not only design but also architect for long-term usability and scalability, a critical aspect for agencies or consultancies working with multiple clients. The emphasis on "translating requirements into user-centered experiences" highlights the need for strong business acumen alongside design skills.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong foundation in Design, Human-Computer Interaction (HCI), or a related field is expected, demonstrated through a robust portfolio.

Experience: 3–7+ years of dedicated UX/UI design experience, with a proven track record of successfully delivering digital products. Experience in agency, consultancy, or multi-client environments is highly valued due to the nature of the role.

Required Skills:

• Demonstrated end-to-end UX/UI design expertise, clearly showcased in a comprehensive portfolio.

• Hands-on and practical experience integrating AI tools into daily design workflows, including but not limited to prototyping, research analysis, or content generation.

• Advanced proficiency in Figma, with specific experience utilizing its AI-enabled plugins and design acceleration features.

• Solid understanding and practical application of design thinking, product thinking, and human-centered design principles.

• Proven ability to adapt and deliver high-quality design solutions across diverse industries and client needs within an agency or consultancy setting.

• Adept at analyzing both qualitative and quantitative user research data to derive actionable insights and inform design decisions.

• Exceptional communication and presentation skills, with experience leading client-facing workshops and design reviews effectively.

Preferred Skills:

• Experience with other AI design tools beyond Figma (e.g., Midjourney, Stable Diffusion for asset generation, AI-powered research analysis tools).

• Familiarity with building and managing design systems from the ground up.

• Experience in conducting user interviews and usability testing sessions.

• Basic understanding of front-end development principles (HTML, CSS, JavaScript) to facilitate better collaboration with engineers.

📝 Enhancement Note: The experience requirement of "3–7+ years" combined with the "part-time" nature of the role suggests a need for someone who is highly efficient and can deliver impactful results without requiring full-time oversight. The "strong portfolio demonstrating user-centered digital product design" is paramount and should clearly highlight AI integration.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A curated selection of projects that clearly demonstrate the candidate's ability to lead end-to-end UX design processes from concept to completion.

• Specific case studies showcasing the application and impact of AI tools in accelerating design workflows, ideation, or research analysis.

• Examples of wireframes, interactive prototypes, and final UI designs, highlighting user-centered problem-solving and intuitive interface creation.

• Documentation or examples of how the candidate has contributed to or maintained design systems and UI component libraries for consistency and scalability.

Process Documentation:

• Demonstrate proficiency in documenting user research findings, including AI-assisted analysis summaries and actionable insights.

• Provide examples of how design decisions are translated into clear specifications for development teams, potentially leveraging AI for content generation or asset optimization.

• Showcase a structured approach to design reviews and stakeholder presentations, emphasizing how AI enhances efficiency and presentation clarity.

📝 Enhancement Note: Given the "AI-Forward" nature of the role, the portfolio should not just contain traditional UX artifacts but also explicitly detail how AI was used. This could include AI-generated mood boards, AI-assisted user persona generation, or AI-analyzed feedback summaries. The ability to present these AI-enhanced processes effectively is key.

💵 Compensation & Benefits

Salary Range: As this is a part-time, remote role within the United States, and the exact compensation is not specified, a competitive hourly rate is expected. Based on the experience level (3-7+ years), the specialization in AI-driven UX design, and the remote nature, an estimated range of $50 - $85 USD per hour is reasonable. This estimate considers industry benchmarks for experienced UX designers in the US market, adjusted for the specialized AI skill set and part-time commitment.

Benefits:

• Competitive compensation package (hourly rate).

• Fully remote-first environment, offering significant flexibility in work location.

• Flexible working hours, allowing for better work-life integration and management of personal schedules.

• Access to cutting-edge AI tools and design technologies provided by the organization, supporting professional growth and innovation.

• Opportunity to work on a diverse portfolio of high-impact client projects across various industries, providing broad exposure and experience.

• Collaborative team culture fostering interaction with talented designers, engineers, and AI specialists.

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

• Opportunity to be at the forefront of shaping AI-driven UX design practices and influencing future industry trends.

Working Hours: This is a part-time position. While specific hours are not detailed, the mention of "flexible working hours" suggests autonomy in scheduling, provided project deadlines and client needs are met. It's common for such roles to require an estimated 15-25 hours per week, negotiable based on project scope and candidate availability.

📝 Enhancement Note: The "Part-time" employment type combined with "Flexible working hours" and "Fully remote-first" offers significant autonomy. The professional development budget is a strong indicator of the company's commitment to keeping its team at the forefront of AI and design innovation. The estimated hourly rate is based on market data for experienced UX Designers in the US, with an uplift for AI specialization and remote work.

🎯 Team & Company Context

🏢 Company Culture

Industry: The partner company operates within the Technology sector, likely focusing on digital product development, design services, or AI solutions. The involvement of Jobgether, an AI-powered talent platform, suggests an alignment with modern, tech-forward, and data-driven organizational philosophies.

Company Size: Not specified, but the "multi-client setup" and "fast-moving" environment suggest an agile structure, possibly a medium-sized agency, consultancy, or a specialized design studio.

Founded: Not specified.

Team Structure:

• The operations team is likely composed of specialized designers, product managers, and AI specialists who work in agile, project-based pods.

• Reporting structures are probably flat and project-oriented, with clear leads for each client engagement.

Methodology:

• Data analysis is central, with an emphasis on leveraging AI for extracting insights from user research and behavioral data to inform design decisions.

• Workflow planning and optimization are driven by an "AI-first" mindset, aiming to streamline the design process through intelligent tools.

• Automation and efficiency practices are core, with a focus on using AI to reduce manual effort and accelerate delivery timelines across various client projects.

Company Website: Jobgether.com (for Jobgether's platform) - The partner company's website is not directly linked, but the Jobgether platform provides insight into their operational approach.

📝 Enhancement Note: The "multi-client setup" implies a need for adaptability and excellent project management skills. The "fast-moving" nature suggests a dynamic environment where quick iteration and rapid prototyping are valued, making AI tools particularly relevant.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned at a Mid-Senior level (3-7+ years of experience). It requires a designer who can independently lead projects, mentor junior team members (implicitly), and contribute strategically to the evolution of design practices. The "AI-Forward" aspect elevates this beyond a standard UX role, requiring a proactive learner and early adopter of new technologies.

Reporting Structure: As a part-time remote employee, the candidate will likely report to a Design Lead, Project Manager, or a similar senior figure within the partner organization. Communication will primarily be digital.

Operations Impact: The designer's work will directly influence the user experience and success of multiple client products. By effectively integrating AI, they will not only improve the quality and speed of design delivery but also help clients leverage AI for competitive advantage in their respective markets.

Growth Opportunities:

• Specialization: Deepen expertise in AI-driven design methodologies, becoming a leading authority in the field. Potential for specialization in areas like AI-powered personalization, generative design for complex systems, or AI ethics in UX.

• Skill Development: Access to professional development budgets allows for continuous learning in AI advancements, new design tools, and emerging UX research techniques.

• Leadership: Opportunity to influence internal design strategies, mentor other designers, and potentially lead AI design initiatives for key clients as the company grows its AI capabilities.

📝 Enhancement Note: The growth opportunities are strongly tied to the AI specialization. Candidates who excel here can position themselves as experts in a rapidly evolving field, which is highly valuable in the current job market.

🌐 Work Environment

Office Type: Fully remote-first. This means there is no central physical office that employees are required to attend.

Office Location(s): While the role is for the United States, the remote nature means employees can work from anywhere within the US, provided they can maintain productivity and potentially align with core working hours for collaboration.

Workspace Context:

• The workspace is virtual and collaborative, relying heavily on digital communication and project management tools. The remote setup necessitates strong self-discipline and proactive communication.

• Access to cutting-edge AI tools and design technologies is a key feature, empowering designers with advanced capabilities.

• Opportunities for interaction will be through virtual meetings, Slack channels, and collaborative design sessions, fostering a connected remote team environment.

Work Schedule: Part-time with flexible working hours. This offers significant autonomy, allowing individuals to structure their work around personal commitments, provided project milestones and collaborative needs are met. The "fast-moving" nature of client projects may occasionally require focused effort to meet deadlines.

📝 Enhancement Note: The "fully remote-first" and "flexible working hours" are significant benefits for work-life balance, but they also demand a high degree of self-motivation and asynchronous communication skills.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Likely an AI-powered review by Jobgether to assess core requirements and fit, followed by a brief review by the hiring partner.

• Portfolio Review & Discussion: A deep dive into the candidate's portfolio, focusing on specific projects that demonstrate UX leadership, AI integration, and problem-solving skills. Expect questions about design process, challenges faced, and how AI was leveraged.

• Technical/Skills Assessment: Potentially a short design exercise or a more in-depth discussion about AI tools and design workflows. This might involve a hypothetical problem or a critique of an existing design.

• Team/Cultural Fit Interview: A conversation with key team members (designers, PMs, AI specialists) to assess collaboration style, communication effectiveness, and alignment with the company's AI-first and experimental culture.

• Final Interview: With a senior leader to discuss the role's strategic impact, growth opportunities, and final compensation.

Portfolio Review Tips:

• Highlight AI Integration: Explicitly detail how AI tools were used in each relevant project, the specific benefits achieved (e.g., time saved, creativity enhanced, insights gained), and the tools employed.

• Showcase Process: Clearly articulate your design process, emphasizing how you translate user needs into effective solutions, especially within an AI-accelerated framework. Use diagrams or flowcharts if helpful.

• Quantify Impact: Where possible, use metrics to demonstrate the success of your designs or the efficiency gains from using AI tools (e.g., "Reduced prototyping time by X%", "Identified key user pain points 30% faster using AI analysis").

• Client-Facing Examples: If available, include examples of how you presented designs or led workshops for clients, showcasing communication and stakeholder management skills.

• Adaptability: Ensure your portfolio reflects experience in diverse industries or project types, demonstrating the ability to work effectively in a multi-client environment.

Challenge Preparation:

• Be prepared for a potential design exercise that may incorporate AI elements or require rapid ideation. Practice using AI tools to quickly generate concepts or mockups.

• Prepare to discuss your approach to integrating AI into UX workflows, including potential ethical considerations and future trends.

• Think about how you would onboard a new client, understand their needs, and establish an AI-enhanced design process for them.

📝 Enhancement Note: The "AI-powered matching process" by Jobgether means keywords and clear alignment with AI and UX requirements are crucial in the initial application. The portfolio is the most critical component for advancing.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Core design tool, with a strong emphasis on its AI-enabled plugins and features for collaborative design, prototyping, and UI mockups.

• Generative AI Platforms: Proficiency with tools for generating design assets, content, or concepts (e.g., Midjourney, Stable Diffusion, DALL-E, or similar AI image/content generators).

• Prototyping Tools: Advanced use of Figma's prototyping capabilities, potentially supplemented by other tools if required for specific project needs.

Analytics & Reporting:

• User Research Analysis Tools: Experience with tools that leverage AI for analyzing qualitative data (e.g., transcripts, feedback) or quantitative behavioral data.

• Data Visualization Tools: Familiarity with tools for presenting research findings and design performance metrics (e.g., Tableau, Looker, or Figma's built-in analytics).

CRM & Automation:

• While not directly a CRM role, understanding how design outputs integrate with product development pipelines is key. Familiarity with project management tools like Jira, Asana, or Trello is beneficial.

• Experience with AI tools that automate repetitive design tasks or streamline workflows.

📝 Enhancement Note: The emphasis is heavily on Figma and generative AI tools. Candidates should be ready to demonstrate practical application of these technologies in their design process.

👥 Team Culture & Values

Operations Values:

• AI-First Mentality: A core belief in leveraging artificial intelligence to innovate and enhance design processes, leading to better outcomes and efficiency.

• Experimentation & Learning: A culture that encourages trying new tools and methodologies, embracing failure as a learning opportunity, and actively seeking to stay ahead of technological advancements.

• User-Centricity: A foundational commitment to designing for users, ensuring that AI integration ultimately serves to improve the user experience.

• Collaboration & Transparency: Open communication and teamwork are vital, especially in a remote setting, to ensure alignment and shared success across diverse client projects.

• Efficiency & Impact: A drive to deliver high-quality results efficiently, demonstrating tangible impact for both clients and the organization.

Collaboration Style:

• Asynchronous & Synchronous Communication: Ability to effectively communicate and collaborate both in real-time (meetings) and asynchronously (Slack, email, project management tools), crucial for a remote team.

• Cross-Functional Integration: Seamlessly working with product managers, engineers, and AI specialists, providing design leadership and incorporating technical/product insights.

• Feedback-Rich Environment: Openness to giving and receiving constructive feedback on designs and processes, fostering continuous improvement.

• Knowledge Sharing: Willingness to share learnings, best practices, and insights related to AI in design with the broader team.

📝 Enhancement Note: The "AI-Forward" and "experimentation mindset" are central to the culture. Candidates should be comfortable with ambiguity and eager to explore new frontiers in design technology.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapidly Evolving AI Landscape: Keeping pace with the constant advancements in AI technology and identifying which tools and techniques are most effective for UX design.

• Balancing AI Efficiency with Creativity: Ensuring that AI-driven workflows augment, rather than stifle, human creativity and strategic design thinking.

• Client Education: Effectively communicating the value and process of AI-integrated design to clients who may be less familiar with these technologies.

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

Learning & Development Opportunities:

• AI Specialization: Becoming a go-to expert in AI applications for UX design, a highly sought-after skill.

• Industry Exposure: Gaining experience across a wide range of client projects and industries, broadening your design portfolio and understanding of different business challenges.

• Tool Mastery: Deepening expertise in cutting-edge AI design tools and Figma's advanced functionalities.

• Mentorship: Potential to learn from and collaborate with AI specialists and experienced design leaders within the partner organization.

📝 Enhancement Note: The primary challenge and growth opportunity lie in mastering and applying AI in UX design. Candidates who embrace this will find significant professional development potential.

💡 Interview Preparation

Strategy Questions:

• "Describe a project where you significantly leveraged generative AI tools to accelerate your design process. What were the specific tools, outcomes, and challenges?" (Prepare a detailed case study).

• "How do you approach user research in an AI-first design environment? What AI tools have you used for research analysis, and what were the benefits?" (Focus on data synthesis and insight generation).

• "Walk us through your process for translating complex client requirements into intuitive UX designs, especially when incorporating AI-generated elements." (Emphasize problem-solving and user-centricity).

Company & Culture Questions:

• "What excites you most about an 'AI-Forward' UX design role, and how do you see AI impacting the future of UX?" (Showcase passion and forward-thinking).

• "How do you approach collaboration in a fully remote, part-time environment? How would you ensure effective communication with a diverse, cross-functional team?" (Highlight communication and teamwork skills).

Portfolio Presentation Strategy:

• AI Integration Narrative: For each relevant project, clearly articulate the "AI story" – what problem AI solved, how it was used, and the tangible results. Use visuals that highlight the AI-generated components or analysis.

• Process Flow Visuals: Use diagrams or flowcharts to illustrate your end-to-end design process, highlighting where AI tools are integrated and how they impact efficiency and outcomes.

• Concise Storytelling: Focus on delivering clear, concise narratives for each case study, emphasizing your role, the challenges, the solution (including AI's contribution), and the impact.

• Interactive Elements: Be prepared to walk through interactive prototypes or demonstrate specific AI features within Figma if asked.

📝 Enhancement Note: The interview process will heavily scrutinize your practical experience with AI tools in a design context. Be ready to defend your design decisions and showcase how AI enhances your capabilities, not just replaces manual steps.

📌 Application Steps

To apply for this AI-Forward UX Designer position:

• Submit your application through the Jobgether platform, ensuring your profile and any uploaded documents clearly highlight your UX design experience and AI tool proficiency.

• Tailor your resume: Emphasize keywords related to UX/UI design, Figma, generative AI tools, user research, design thinking, and experience in agency/consultancy settings. Quantify achievements where possible.

• Curate your portfolio: Select 3-5 of your strongest projects that best showcase your end-to-end UX design capabilities, with a clear emphasis on how you've integrated AI tools. Ensure each project has a dedicated section detailing the AI aspect, your role, the process, and the outcome.

• Prepare your narrative: Practice articulating your design process and specific AI integration stories concisely and impactfully. Be ready to discuss your portfolio in detail during interviews.

• Research Jobgether: Understand their AI-powered matching process and their mission to connect talent with opportunities. This will help you frame your application and responses 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.