AI-Forward UX Designer

📍 Job Overview

Job Title: AI-Forward UX Designer

Company: Jobgether (Partner Company)

Location: Australia

Job Type: Part-time

Category: User Experience (UX) / Product Design

Date Posted: May 06, 2026

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

Remote Status: Fully Remote

🚀 Role Summary

• Lead end-to-end UX design processes for diverse client projects, from discovery to final handoff, with a strong emphasis on AI integration.

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

• Conduct and synthesize user research, employing AI-assisted methods to extract actionable insights from various data sources.

• Collaborate closely with product managers, engineers, and clients to translate complex user needs into intuitive and scalable digital product interfaces.

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

📝 Enhancement Note: The role is part-time, which is unusual for a lead UX designer position. This suggests a potential need for flexible engagement, project-based work, or a role focused on specific AI integration initiatives rather than full-time project ownership. The company is Jobgether, which acts as an intermediary, meaning the candidate will be working for a partner company but applying through Jobgether's platform. The AI focus is paramount, requiring demonstrated practical application of AI tools in design.

📈 Primary Responsibilities

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

• Utilize generative AI design platforms and specific AI features within tools like Figma to rapidly ideate, generate UI mockups, and produce interactive prototypes.

• Employ AI-powered methodologies for user research synthesis, extracting key insights from qualitative and quantitative data to inform design decisions.

• Apply established design thinking and product thinking frameworks to clearly define user problems, map customer journeys, and validate proposed solutions with stakeholders.

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

• Foster strong collaborative relationships with product managers, engineering teams, and external clients to ensure user-centered design principles are effectively translated into digital products.

• Articulate design rationale and the impact of AI-driven workflows, clearly communicating how these methods enhance efficiency, output quality, and user experience.

• Actively participate in refining internal design processes and advocating for the adoption and best practices of AI-first design methodologies across the organization.

📝 Enhancement Note: The responsibilities highlight a blend of traditional UX leadership and innovative AI application. Candidates should be prepared to demonstrate how they've not only led design projects but also integrated AI tools to improve the speed and quality of those processes. The "multi-client setup" implies a need for adaptability and strong project management skills to juggle different stakeholder needs and project scopes.

🎓 Skills & Qualifications

Education: Not explicitly specified, but a Bachelor's or Master's degree in Design, Human-Computer Interaction, Graphic Design, or a related field is typically expected for mid-senior level UX roles. Equivalent practical experience will also be considered.

Experience: 3–7+ years of professional experience in User Experience (UX) and User Interface (UI) design, with a significant portion demonstrating hands-on application of AI tools within the design process. Experience in agency, consultancy, or multi-client environments is highly valued.

Required Skills:

• A robust portfolio showcasing end-to-end UX/UI design projects with a clear focus on user-centered digital product design.

• Proven, hands-on experience integrating AI tools (e.g., generative design platforms, AI-powered research analysis tools, AI features in design software) into daily design workflows.

• Advanced proficiency in industry-standard design and prototyping tools, particularly Figma, with a strong understanding of its AI-enabled plugins and acceleration features.

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

• Demonstrated ability to analyze and synthesize both qualitative and quantitative user research data to derive actionable design insights.

• Excellent communication, presentation, and interpersonal skills, with a proven track record of leading client-facing workshops and design reviews.

Preferred Skills:

• Experience in building and scaling design systems.

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

• Experience in consulting or agency environments, managing multiple client projects simultaneously.

• Expertise in specific AI tools relevant to design, such as Midjourney, Stable Diffusion for asset generation, or AI-powered UX research platforms.

• Understanding of product strategy and ability to influence product roadmaps.

📝 Enhancement Note: The experience requirement (3-7+ years) combined with the "lead" aspect of responsibilities suggests this is a mid-to-senior level role. The emphasis on "proven hands-on experience using AI tools" is critical and should be a primary focus for candidates when preparing their portfolio and resume. The preference for agency/consultancy experience indicates a need for adaptability and client-facing skills.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a minimum of 2-3 detailed case studies demonstrating end-to-end UX design projects, clearly articulating the problem, your role, process, and outcomes.

• For each case study, explicitly highlight how AI tools were integrated into the design process (e.g., ideation, research synthesis, prototyping, asset generation) and the resulting impact on efficiency or quality.

• Include examples of wireframes, user flows, interactive prototypes, and final UI designs, with clear explanations of design decisions.

• Demonstrate proficiency in Figma, with visual examples of complex prototypes or design system components created within the tool.

Process Documentation:

• Provide evidence of documenting design processes, including user journey maps, information architecture diagrams, and user flow charts.

• Illustrate how design systems and style guides were developed and maintained for consistency across projects.

• Be prepared to discuss and present internal design methodologies, particularly those that have been influenced or enhanced by AI integration.

• Showcase how design outcomes were measured and iterated upon, ideally with metrics demonstrating user satisfaction or business impact.

📝 Enhancement Note: For this specific role, the portfolio must go beyond standard UX deliverables. Candidates need to proactively demonstrate their AI integration skills. This means not just listing AI tools used, but showing how they were used and the tangible benefits they provided. The "AI-Forward" aspect means the portfolio should be a testament to their ability to innovate within design workflows.

💵 Compensation & Benefits

Salary Range: Given the part-time nature, the hourly rate will be competitive for a senior UX Designer with specialized AI skills in Australia. Based on industry benchmarks for similar roles in major Australian cities (Sydney, Melbourne) and considering the remote, part-time, and AI-forward nature, an estimated hourly rate could range from AUD $70 to AUD $120 per hour. This is a broad estimate and will depend heavily on the specific partner company, the candidate's exact experience, and the scope of work.

Benefits:

• Competitive Compensation Package: A strong hourly rate commensurate with experience and specialized AI skills.

• Fully Remote-First Environment: The ability to work from anywhere within Australia.

• Flexible Working Hours: Adaptable work schedule to accommodate personal needs and project demands, typical for part-time roles.

• Access to Cutting-Edge AI Tools and Design Technologies: Provided by the organization, enabling continuous learning and application of the latest AI advancements.

• Opportunity to Work on Diverse, High-Impact Client Projects: Exposure to a variety of industries and challenges, fostering broad experience.

• Collaborative Team Culture: Work alongside experienced designers, engineers, and AI specialists in a supportive environment.

• Professional Development Budget: Funds allocated for training, courses, certifications, and conferences to enhance skills, particularly in AI and UX.

• Opportunity to Influence AI-Driven UX Design: A chance to be at the forefront of shaping modern design practices.

Working Hours: This is a part-time position. The exact number of hours per week will be determined by project needs and mutual agreement, but it will likely require a consistent commitment for effective project delivery. The role emphasizes flexible working hours, allowing for autonomy in scheduling.

📝 Enhancement Note: The salary range is an estimation for Australia, considering the part-time nature and specialized skills. It's crucial for candidates to research current market rates for contract/part-time senior UX Designers in Australia, factoring in the AI specialization. The benefits are strongly aligned with remote and tech-focused roles.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, Design Services, AI Integration. The partner company likely operates within the digital product development, design consultancy, or AI solutions space, focusing on helping clients leverage AI in their offerings. Jobgether itself is a platform focused on AI-powered recruitment.

Company Size: The size of the partner company is not specified, but the "multi-client setup" and "fast-moving" environment suggest it could range from a boutique agency to a mid-sized consultancy. Jobgether, as the platform, is a tech company facilitating connections.

Founded: The founding date of the partner company is not provided. Jobgether was founded to leverage AI in recruitment.

Team Structure:

• The UX Designer will likely be part of a dedicated design team within the partner company, potentially augmented by AI specialists.

• They will report to a Design Lead, Head of Design, or a Project Manager within the partner company.

Methodology:

• Data Analysis & Insights: Emphasis on using AI to derive insights from user research and behavioral data.

• Workflow Planning & Optimization: Designing and refining workflows, particularly those incorporating AI for efficiency and innovation.

• Automation & Efficiency: Proactively seeking and implementing AI-driven solutions to streamline design processes.

Company Website: [Jobgether Website: jobgether.com] (The partner company's website is not directly linked but will be provided upon application/further stages).

📝 Enhancement Note: The "AI-Forward" and "multi-client" aspects suggest a dynamic, results-oriented culture that values innovation and client satisfaction. Candidates should be comfortable with rapid iteration and continuous learning in a tech-forward environment.

📈 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 "lead" responsibilities. It's for a designer who can independently manage projects and influence design direction, especially concerning AI integration.

Reporting Structure: The designer will likely report to a Design Lead or Project Manager within the client company, with direct interaction and reporting lines to stakeholders on specific client projects. The relationship with Jobgether is primarily for application and initial screening.

Operations Impact: The UX Designer's impact will be significant, directly shaping the user experience of digital products for various clients. By leveraging AI, they can enhance the efficiency, creativity, and quality of these products, thereby influencing client success and the partner company's reputation for innovation.

Growth Opportunities:

• AI Specialization: Deepen expertise in applying AI to UX design, becoming a go-to specialist in generative design, AI research analysis, and prompt engineering for design.

• Design Leadership: Progress into leading design teams, managing larger client accounts, or taking on a Product Design Lead role within the partner company or for a specific client.

• Methodology Development: Contribute significantly to defining and implementing advanced AI-driven design methodologies that can be scaled across the organization.

• Diverse Project Exposure: Gain broad experience across various industries and product types, enhancing versatility and marketability.

📝 Enhancement Note: The growth path here is strongly tied to specialization in AI for design. Candidates should see this as an opportunity to become a leader in a rapidly evolving field, potentially leading to more senior strategic roles in AI product development or design innovation.

🌐 Work Environment

Office Type: The role is described as "Fully Remote-first." This implies a distributed team structure where physical office presence is not a requirement. The partner company likely has a remote-first culture.

Office Location(s): While the role is remote, it is based in Australia. This may imply a need for candidates to be within Australian time zones for collaborative meetings, or that the partner company is an Australian-based entity.

Workspace Context:

• Collaborative Environment: Despite being remote, expect regular virtual collaboration through video calls, messaging platforms, and shared digital workspaces.

• Tools & Technology: Access to advanced AI design tools, Figma, and project management software will be essential. The company provides access to cutting-edge AI tools.

• Team Interaction: Opportunities for interaction will be through scheduled meetings, virtual brainstorming sessions, and asynchronous communication channels.

Work Schedule: The position is Part-time with flexible working hours. This offers autonomy but requires strong self-discipline and time management to meet project deadlines and collaborate effectively with team members and clients across potentially different time zones within Australia.

📝 Enhancement Note: A remote-first, part-time role with flexible hours requires a high degree of self-management and proactive communication. Candidates should be comfortable working independently and adept at using digital tools to stay connected and productive.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening (Jobgether): An AI-powered matching process by Jobgether to assess core requirements, followed by a review by a human recruiter.

• Portfolio Review: A deep dive into your submitted portfolio, with a specific focus on your AI integration case studies and demonstrated UX/UI skills. Expect to discuss your design process and the impact of AI.

• Hiring Company Interview(s): Interviews with the partner company's hiring team (e.g., Design Lead, Product Manager, Project Manager). These will likely involve discussing your experience, approach to UX, client management skills, and how you envision applying AI in their projects.

• Design Challenge/Case Study: Possibly a take-home assignment or a live workshop to assess your problem-solving skills, design thinking, and ability to integrate AI tools under a time constraint.

• Final Interview: May involve broader discussions on culture fit, career aspirations, and final alignment with the role and company.

Portfolio Review Tips:

• Highlight AI Impact: For each case study, clearly articulate how you used AI tools, the specific benefits (e.g., time saved, novel ideas generated, improved user insights), and the measurable outcomes. Use quantitative data where possible.

• Showcase Process: Detail your end-to-end design process, emphasizing your ability to conduct research, ideate, prototype, and iterate. Clearly show where AI played a role.

• Figma Proficiency: Be ready to walk through your Figma files, showcasing complex interactions, well-structured components, and any custom AI plugins or workflows you've developed.

• Client Skills: If applicable, include examples of client presentations, workshop facilitation, and how you managed stakeholder expectations.

• Tell a Story: Structure your case studies as narratives that showcase your problem-solving skills and strategic thinking.

Challenge Preparation:

• AI Integration: Be prepared for a challenge that requires you to use AI tools to solve a design problem within a given timeframe. Practice using generative AI for ideation or prototyping.

• Process Articulation: Clearly explain your design process and the rationale behind your decisions, especially how AI supports or enhances them.

• Time Management: For any timed challenges, practice efficient workflow management.

• Stakeholder Communication: Be ready to present your solutions and defend your design choices as if presenting to a client or internal team.

📝 Enhancement Note: The AI-powered matching by Jobgether means keywords and clear demonstrations of AI skills are crucial on the resume and in the portfolio. The partner company will likely focus heavily on practical application of AI in design during their interviews.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Advanced proficiency required, including AI-enabled plugins and features.

• Generative AI Platforms: Experience with tools for ideation, content generation, asset creation (e.g., Midjourney, Stable Diffusion, ChatGPT for design prompts).

• Prototyping Tools: Proficiency in Figma's prototyping capabilities, potentially others like Adobe XD or InVision.

Analytics & Reporting:

• User Research Tools: Experience with platforms for surveys, interviews, and usability testing. AI-assisted analysis tools are a plus.

• Analytics Platforms (Familiarity): Understanding of how to interpret data from tools like Google Analytics, Mixpanel, Amplitude to inform design decisions.

CRM & Automation:

• Project Management Software: Familiarity with tools like Jira, Asana, Trello for workflow management.

• Collaboration Tools: Slack, Microsoft Teams, Miro for communication and virtual whiteboarding.

📝 Enhancement Note: The explicit mention of "Figma AI features" and "generative design platforms" means candidates should be ready to discuss specific AI tools they've used beyond generic AI concepts. Proficiency in Figma is a baseline, but demonstrating advanced use of its AI capabilities will be key.

👥 Team Culture & Values

Operations Values:

• AI-Driven Innovation: A core value will be the embrace and strategic application of AI to push design boundaries and improve processes.

• User-Centricity: Maintaining a strong focus on user needs and experiences, even with AI-driven tools.

• Collaboration & Communication: Valuing open communication and teamwork across distributed teams and with clients.

• Experimentation & Learning: A culture that encourages trying new approaches, learning from failures, and continuous skill development, particularly in AI.

• Efficiency & Quality: Striving for both speed and excellence in design output through optimized workflows.

Collaboration Style:

• Remote & Asynchronous: Expect a strong reliance on digital tools for communication and collaboration, with an understanding of asynchronous workflows.

• Cross-Functional Integration: Close collaboration with product managers, engineers, and clients, requiring clear articulation of design concepts and rationale.

• Feedback Loops: An environment where constructive feedback is shared regularly to improve designs and processes.

• Knowledge Sharing: Encouraging the sharing of best practices, learnings from AI experiments, and design trends within the team.

📝 Enhancement Note: The "AI-Forward" culture implies a team that is tech-savvy, adaptable, and excited about the future of design. Candidates should align with these values and demonstrate initiative in exploring new technologies.

⚡ Challenges & Growth Opportunities

Challenges:

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

• Balancing AI Efficiency with Human Creativity: Effectively integrating AI without sacrificing genuine creativity, user empathy, or unique design solutions.

• Client Adoption of AI: Educating and guiding clients on the benefits and integration of AI in their digital products.

• Part-Time Work Management: Effectively managing project scope, deadlines, and client expectations within a part-time capacity.

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

Learning & Development Opportunities:

• AI Tool Specialization: Access to training and resources to become an expert in specific AI-driven design tools and methodologies.

• Industry Conferences & Certifications: A professional development budget to attend relevant events and gain certifications in UX, AI, or product design.

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

• Exposure to Diverse Projects: Working on a variety of client challenges provides extensive learning through practical application.

📝 Enhancement Note: The challenges are inherent to working at the cutting edge of AI and design. The growth opportunities are significant for those who can navigate these challenges and become leaders in AI-enhanced UX.

💡 Interview Preparation

Strategy Questions:

• "Describe a project where you significantly leveraged AI to accelerate your UX design process. What tools did you use, what was the impact, and what were the challenges?"

• "How do you balance generative AI's output with your own creative judgment and user empathy? Give an example."

• "Imagine you need to design a new feature for [specific product type]. How would you use AI tools in your discovery and ideation phases?"

Company & Culture Questions:

• "Why are you interested in an 'AI-Forward' UX role, and what excites you about Jobgether's approach to recruitment?"

• "How do you stay updated on the latest AI advancements relevant to design?"

Portfolio Presentation Strategy:

• AI Integration Focus: Dedicate specific slides or sections in your case studies to detail your AI usage, tools, and outcomes. Use screenshots or short videos to demonstrate the AI tools in action.

• Quantify Impact: Use metrics wherever possible to show the tangible benefits of your AI-assisted designs (e.g., % time saved, # of concepts generated, improved user satisfaction scores).

• Clear Narrative: Structure your presentation logically, telling the story of each project from problem to solution, highlighting your critical thinking and decision-making throughout.

• Concise & Engaging: Be prepared to present your portfolio within a set timeframe, focusing on the most impactful aspects of your work.

📝 Enhancement Note: Interviewers will be looking for practical, hands-on experience with AI in design. Be prepared to discuss specific tools, workflows, and measurable results. Demonstrating a proactive, learning-oriented mindset will also be key.

📌 Application Steps

To apply for this AI-Forward UX Designer position:

• Submit your application through the Jobgether platform via the provided link.

• Tailor Resume & Portfolio: Customize your resume to highlight keywords related to AI, UX/UI design, Figma, generative AI, and client work. Ensure your portfolio prominently features case studies demonstrating AI integration and its impact.

• Prepare AI Case Studies: Be ready to discuss in detail 1-2 specific projects where you successfully used AI tools in your UX/UI design process, focusing on the problem, your approach, the AI tools used, and the measurable outcomes.

• Research Jobgether & AI in Design: Understand Jobgether's AI-driven recruitment model and research current trends in AI for UX/UI design to engage in informed discussions.

• Practice Presentation: Rehearse presenting your portfolio and discussing your AI design experience, focusing on clarity, conciseness, and articulating value to potential clients.

⚠️ 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.