AI-Forward UX Designer

📍 Job Overview

Job Title: AI-Forward UX Designer

Company: Jobgether (on behalf of a partner company)

Location: Brazil

Job Type: Part-time

Category: UX/UI Design, Product Design, AI Integration

Date Posted: May 6, 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, integrating AI-powered tools to accelerate ideation, prototyping, and user research synthesis.

• Drive the adoption of AI-first design practices, leveraging generative AI and Figma AI features to enhance efficiency and output quality in a multi-client environment.

• Translate complex user needs and business requirements into intuitive, scalable, and user-centered digital product interfaces.

• Collaborate closely with product managers, engineers, and stakeholders, presenting design concepts and rationale with a strong emphasis on AI-driven workflow improvements.

• Contribute to the evolution of internal design methodologies and champion advanced design practices within a forward-thinking organization.

📝 Enhancement Note: This role is posted by Jobgether, indicating a potential for contract or project-based work, though the "Part-time" designation suggests flexibility. The emphasis on "AI-Forward" and "AI-first" means candidates must demonstrate tangible experience with AI tools in their design process, not just theoretical knowledge. The "multi-client setup" implies a need for adaptability, strong project management, and excellent client communication skills.

📈 Primary Responsibilities

• Spearhead the complete UX design lifecycle for multiple client engagements, from initial discovery and user research to detailed wireframing, interactive prototyping, and final design handoff to development teams.

• Actively utilize AI-powered design tools, including generative AI platforms and advanced Figma AI features, to rapidly create UI mockups, generate design variations, and produce high-fidelity prototypes.

• Conduct and analyze user research using AI-assisted methodologies, extracting actionable insights from qualitative data (interviews, surveys) and quantitative behavioral data.

• Apply established design thinking and product thinking frameworks to accurately define user problems, map complex user journeys, and validate proposed solutions through stakeholder feedback and iterative design.

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

• Foster strong collaborative relationships with cross-functional teams, including product managers, software engineers, and direct clients, to effectively translate technical requirements and business objectives into exceptional user experiences.

• Clearly articulate and present design concepts, strategies, and rationale to clients and internal stakeholders, highlighting the efficiency gains and enhanced output quality achieved through AI-driven design workflows.

• Actively participate in the continuous improvement of internal design methodologies and champion the adoption of AI-first design principles and practices throughout the organization.

📝 Enhancement Note: The responsibilities clearly indicate a need for a designer who can operate independently and manage multiple projects simultaneously. The emphasis on AI tools suggests a requirement for hands-on experience beyond basic usage, focusing on how AI accelerates the design process. "Scalable design systems" and "documentation" point to a need for organization and attention to detail in maintaining design consistency.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a Bachelor's or Master's degree in Graphic Design, Interaction Design, Human-Computer Interaction (HCI), or a related field is highly beneficial. Equivalent practical experience will also be considered.

Experience: 3–7+ years of professional experience in UX/UI design, with a significant portion dedicated to digital product design and demonstrable success in client-facing roles.

Required Skills:

• End-to-End UX/UI Design: Proficient in all phases of the design process, from user research and ideation to wireframing, prototyping, usability testing, and final design implementation.

• AI Tool Proficiency: Proven hands-on experience integrating AI tools (e.g., generative design platforms, AI-assisted research tools, AI plugins for design software) into daily design workflows for prototyping, research analysis, or content generation.

• Figma Expertise: Advanced proficiency in Figma, including mastery of its core features and a strong understanding of AI-enabled plugins and acceleration features within the platform.

• Design Thinking & Product Thinking: Solid understanding and practical application of design thinking methodologies, product thinking frameworks, and human-centered design principles.

• Adaptability & Multi-Client Experience: Demonstrated ability to thrive in agency, consultancy, or multi-client environments, adapting design approaches across diverse industries and project scopes.

• Research & Analysis: Capability to analyze qualitative and quantitative user research data and translate complex insights into clear, actionable design decisions and product improvements.

• Communication & Presentation: Excellent verbal and written communication skills, with a proven track record of leading client-facing workshops, design reviews, and effectively presenting design rationale.

• Experimentation Mindset: A strong curiosity, proactive experimentation mindset, and genuine enthusiasm for adopting and integrating emerging AI technologies into design processes.

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 better collaborate with engineers.

• Experience in building and managing comprehensive design systems.

• Knowledge of data analysis tools and techniques for interpreting user behavior metrics.

• Previous experience in a remote-first or distributed team environment.

📝 Enhancement Note: The experience requirement "3–7+ years" with a specific mention of "AI tools in daily design workflows" suggests the company is looking for candidates who have already integrated AI into their practice, not those just beginning to explore it. Proficiency in Figma is critical, especially its AI capabilities. Experience in an agency or multi-client setting is a strong plus due to the nature of the role.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A robust portfolio showcasing a minimum of 3-5 diverse digital product design projects, with a clear emphasis on the candidate's role and contributions.

• Projects should demonstrate the full UX/UI design process, from problem definition and user research to solution design, prototyping, and outcomes.

• Specific case studies detailing the application of AI tools within the design process, highlighting how AI accelerated ideation, prototyping, research, or other design tasks.

• Visual representations of wireframes, user flows, interactive prototypes, and final UI designs.

• Evidence of analytical thinking through the inclusion of user research insights, usability testing results, and data-driven design decisions.

Process Documentation:

• For each project, clearly articulate the design process followed, including any unique methodologies or frameworks employed.

• Detail the specific AI tools and features used in each project, explaining their impact on efficiency, creativity, and final output.

• Showcase methods for synthesizing user research, especially where AI-assisted analysis was utilized.

• Provide examples of how design solutions were validated with stakeholders and how feedback was incorporated.

• Illustrate the process of creating and maintaining design systems and UI component libraries for consistency.

📝 Enhancement Note: The portfolio is paramount for this role, especially its showcasing of AI integration. Candidates should be prepared to walk through their projects and articulate the specific benefits and challenges of using AI in their workflow. The emphasis on "AI-Forward" means the portfolio needs to demonstrate current and innovative use of AI, not just theoretical knowledge.

💵 Compensation & Benefits

Salary Range: As this is a part-time role and specific compensation is not provided, the estimated salary range for an AI-Forward UX Designer with 3–7+ years of experience in Brazil, working remotely, would typically fall between R$6,000 to R$12,000 per month, depending on the specific partner company's budget, project duration, and the candidate's precise skill set and experience. This estimate is based on industry benchmarks for senior UX/UI design roles in Brazil, adjusted for remote work and the specialized AI skill set.

Benefits:

• Competitive Compensation Package: A salary commensurate with experience and the value brought to diverse client projects.

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

• Flexible Working Hours: The part-time nature of the role allows for adaptable work schedules to accommodate personal needs and optimize productivity.

• Access to Cutting-Edge AI Tools: Provision of advanced AI design tools and technologies necessary to perform the role effectively.

• Diverse Project Experience: Opportunity to contribute to a variety of high-impact client projects across different industries, fostering broad skill development.

• Collaborative Team Culture: Integration into a supportive team environment comprising experienced designers, engineers, and AI specialists.

• Professional Development Budget: A dedicated budget for continuous learning, including courses, certifications, workshops, and industry conferences focused on UX, AI, and design.

• Influence on Design Futures: A unique opportunity to be at the forefront of shaping and defining AI-driven UX design practices.

Working Hours: This is a part-time position. Specific hours will likely be agreed upon with the partner company, but the role is designed to offer flexibility, aligning with the remote-first and flexible working hours benefits. It is expected that the workload will be manageable for a part-time commitment, allowing for focused contributions to client projects.

📝 Enhancement Note: The salary estimate considers the "Part-time" nature and location within Brazil. The benefits are directly pulled from the job description, emphasizing the flexibility and professional development crucial for such a specialized role. The remote nature and flexible hours are key selling points for this position.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, Design Services, AI Integration, Consulting. The partner company likely operates within the digital product development or design agency space, specializing in leveraging AI for design solutions.

Company Size: Jobgether itself is a platform connecting talent with opportunities. The partner company's size is not specified but will influence the scale of projects and the level of internal structure. A multi-client setup suggests a dynamic, potentially agency-like environment.

Founded: The founding date of the partner company is not provided. However, Jobgether's mission to use AI for matching implies a forward-thinking, tech-driven ethos.

Team Structure:

• The UX Designer will likely be part of a dedicated design team within the partner company, potentially structured by client project or by specialization (e.g., UX, UI, Research).

• Reporting lines will likely be to a Design Lead, Project Manager, or Head of Design, depending on the partner company's organizational structure.

Methodology:

• Data-Driven Design: Emphasis on using user research, behavioral data, and AI-driven insights to inform design decisions.

• Agile & Iterative Workflows: Likely employing agile methodologies for project management and design, with a focus on rapid iteration and continuous feedback integration.

• AI Integration & Automation: A core methodology will involve leveraging AI tools to automate repetitive tasks, accelerate design processes, and explore novel design solutions.

Company Website: [Jobgether Website: jobgether.com] (Company URL for the partner is not provided)

📝 Enhancement Note: The culture is expected to be fast-paced, innovative, and highly collaborative, with a strong emphasis on technology adoption, particularly AI. Candidates should be comfortable working in a client-service model and adapting to different project needs and team dynamics.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned at a Mid-Senior level within the UX/UI design discipline. It requires a solid foundation of experience (3-7+ years) and the ability to lead design initiatives independently. The "AI-Forward" aspect elevates it beyond a standard UX role, requiring specialized knowledge and forward-thinking capabilities.

Reporting Structure: The designer will likely report to a Design Manager or Senior Project Manager within the partner company. They will collaborate closely with cross-functional teams, including product managers and engineers, on a project-by-project basis.

Operations Impact: The designer's impact is primarily on the user experience and product success for client projects. By leveraging AI, they can significantly influence project timelines, design quality, and the efficiency of the development process, directly contributing to client satisfaction and business outcomes.

Growth Opportunities:

• AI Design Specialization: Deepen expertise in AI-driven design tools and methodologies, becoming a go-to specialist in this emerging field.

• Leadership in Design: Progress to a Senior UX Designer, Lead UX Designer, or Design Manager role, overseeing design strategy and teams on larger or more complex client projects.

• Cross-functional Skill Development: Gain exposure to product management, engineering workflows, and AI development, broadening technical and strategic understanding.

• Client Relationship Management: Develop stronger client-facing skills, leading workshops and strategic design discussions.

• Contribution to Best Practices: Play a key role in defining and refining the AI-first design processes for the partner company.

📝 Enhancement Note: This role offers a unique opportunity to specialize in a rapidly growing area at the intersection of AI and design. Growth potential lies in both deepening AI design expertise and advancing into leadership roles within a client-service or consulting framework.

🌐 Work Environment

Office Type: While the role is Fully Remote, the "multi-client setup" and "collaborative team culture" suggest that the partner company fosters a virtual environment that mirrors the best aspects of an in-office setting, emphasizing communication and teamwork.

Office Location(s): The role is based in Brazil, and candidates are expected to be located within Brazil. Specific office locations are not relevant as it is a remote position.

Workspace Context:

• Virtual Collaboration: Expect to work with a distributed team using digital collaboration tools (e.g., Slack, Zoom, Miro, Figma).

• AI-Enabled Tools: The workspace will be equipped with advanced AI design tools, providing the necessary technology to perform AI-forward design tasks.

• Client Interaction: Opportunities to engage with clients through virtual meetings, workshops, and presentations, requiring a professional and adaptable remote presence.

Work Schedule: This is a part-time position with flexible working hours. The exact schedule will be determined in coordination with the partner company and project needs, but the overall structure emphasizes work-life balance and autonomy for the designer.

📝 Enhancement Note: The remote-first nature is a significant aspect of the work environment, requiring self-discipline and strong digital communication skills. The "multi-client" environment means adapting to different client needs and potentially varying work demands.

📄 Application & Portfolio Review Process

Interview Process:

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

• Partner Company Review: Shortlisted candidates' profiles and portfolios will be shared with the hiring partner company for further evaluation.

• Portfolio Presentation & Technical Interview: Expect a session where you will present your portfolio, focusing on AI integration in your design process, and discuss your experience with UX/UI principles, design thinking, and AI tools.

• Cross-functional Team Interview: You may meet with product managers, engineers, or other team members to assess collaboration style and technical fit.

• Final Interview/Offer: A final discussion with a hiring manager or leadership to discuss terms, role expectations, and extend an offer.

Portfolio Review Tips:

• Highlight AI Integration: For each project, clearly articulate how AI tools were used, the specific problem they solved, and the tangible benefits (e.g., time saved, improved ideation, enhanced user insights). Use visual cues to denote AI-assisted elements if possible.

• Showcase Process: Walk through your design thinking and problem-solving process. Explain your rationale behind design decisions, especially those influenced by AI.

• Quantify Impact: Where possible, use metrics to demonstrate the success of your designs or the efficiency gains from using AI (e.g., "reduced wireframing time by X%", "generated Y design iterations in Z hours").

• Client-Specific Relevance: Tailor your presentation to highlight projects that might resonate with the partner company's typical client base or industry focus, if known.

• Storytelling: Frame your projects as compelling narratives – problem, process, solution, and outcome – with AI as a key enabler.

Challenge Preparation:

• AI Design Challenge: Be prepared for a potential design challenge that requires you to use AI tools to solve a given problem or generate design concepts within a limited timeframe.

• Process Optimization Question: Expect questions about how you would optimize a given design workflow using AI or how you would introduce AI tools to a team.

• Stakeholder Communication: Practice explaining complex AI design concepts and their business value to non-technical stakeholders.

📝 Enhancement Note: The Jobgether AI screening is a critical first step. For the partner company review, the portfolio is key. Candidates should be ready to discuss their AI workflow in detail, demonstrating practical application rather than just theoretical knowledge.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Advanced proficiency is required, including experience with AI-powered plugins and features for rapid prototyping, design generation, and collaborative workflows.

• Generative AI Platforms: Experience with tools like Midjourney, DALL-E, Stable Diffusion, or similar for ideation, asset creation, or concept visualization.

• AI-Assisted Research Tools: Familiarity with AI tools that help synthesize qualitative data, analyze user feedback, or identify patterns in user behavior.

Analytics & Reporting:

• User Analytics Platforms: Experience with tools like Google Analytics, Mixpanel, Amplitude, or Hotjar for understanding user behavior and performance metrics.

• Data Synthesis Tools: Potentially AI tools that aid in summarizing research findings or identifying key trends from qualitative data.

CRM & Automation:

• Project Management Software: Proficiency in tools like Jira, Asana, Trello, or Monday.com for managing client projects and tasks.

• Collaboration Suites: Familiarity with tools like Slack, Microsoft Teams, Google Workspace for communication and real-time collaboration.

• Prototyping Tools: Beyond Figma, experience with tools like Adobe XD, Sketch, InVision Studio for creating interactive prototypes.

📝 Enhancement Note: The emphasis here is heavily on AI tools and Figma. Candidates should be prepared to discuss their specific experience with these tools and how they integrate them into their daily design practice.

👥 Team Culture & Values

Operations Values:

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

• User-Centricity: A deep commitment to understanding and serving user needs, ensuring that AI enhances, rather than detracts from, the user experience.

• Efficiency & Optimization: A focus on streamlining processes, automating tasks, and improving overall design workflow efficiency through technology.

• Collaboration & Transparency: Open communication, knowledge sharing, and a collaborative spirit within cross-functional teams and with clients.

• Curiosity & Continuous Learning: An ongoing desire to learn, experiment, and adapt to the rapidly evolving landscape of AI and design.

Collaboration Style:

• Cross-functional Integration: Seamless collaboration with product managers, engineers, and AI specialists, fostering a shared understanding of project goals and user needs.

• Agile & Iterative Feedback: Embracing a culture of frequent feedback loops, design critiques, and iterative development to refine solutions.

• Knowledge Sharing: Proactive sharing of insights, best practices, and learnings related to AI in design, contributing to the collective growth of the team.

📝 Enhancement Note: The team culture values innovation and efficiency, driven by the adoption of AI. Candidates who are proactive, collaborative, and eager to learn will fit well.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapidly Evolving AI Landscape: Keeping pace with the constant advancements in AI tools and techniques relevant to UX design.

• Ethical AI Integration: Navigating the ethical considerations and potential biases associated with using AI in design and user research.

• Client Adoption of AI: Educating and guiding clients on the benefits and implementation of AI-driven design solutions.

• Balancing AI Efficiency with Human Creativity: Ensuring that AI tools augment, rather than replace, human creativity and strategic design thinking.

• Managing Multiple Client Demands: Effectively prioritizing and managing workload across various client projects in a part-time capacity.

Learning & Development Opportunities:

• Specialized AI Design Training: Access to courses, workshops, and resources focused on advanced AI applications in UX/UI design.

• Industry Conferences: Opportunities to attend relevant conferences (virtual or in-person) focusing on AI, UX, and product design.

• Mentorship: Potential to learn from experienced AI specialists and senior designers within the partner company's network.

• Exposure to Diverse Projects: Gaining experience across various industries and project types, broadening design expertise and problem-solving skills.

📝 Enhancement Note: The primary challenge and growth opportunity lie in mastering the AI-forward aspect of the role. Candidates will need to be proactive in their learning and comfortable navigating the uncertainties of a rapidly developing field.

💡 Interview Preparation

Strategy Questions:

• "Describe your experience integrating generative AI into your design workflow. What specific tools did you use, and what were the tangible outcomes?"

• "How would you approach user research for a new product using AI-assisted methods? What are the pros and cons?"

• "Imagine you need to create a design system for a new client. How would you leverage AI to accelerate this process?"

• "How do you balance the efficiency gains from AI with the need for human creativity and strategic design thinking in your work?"

Company & Culture Questions:

• "What excites you most about working with AI in UX design?"

• "How do you stay up-to-date with the latest advancements in AI and design technology?"

• "Describe your ideal collaborative environment when working on a remote, multi-client project."

Portfolio Presentation Strategy:

• AI Case Study Focus: Dedicate specific slides or sections to projects where AI played a significant role. Clearly explain the AI's application, your role, and the impact.

• Quantifiable Results: Whenever possible, present metrics demonstrating efficiency gains or improved design outcomes achieved through AI.

• Process Visualization: Use flowcharts or diagrams to visually represent your design process, highlighting where AI was integrated.

• Conciseness: Given the part-time nature and potential for many candidates, be concise and impactful in your presentation. Focus on the most relevant aspects.

• Interactive Elements: If possible, showcase interactive prototypes that demonstrate the final user experience.

📝 Enhancement Note: Interviewers will be looking for practical, hands-on experience with AI in design. Be prepared to discuss specific tools, workflows, challenges, and successes. Emphasize your ability to translate technical AI concepts into user-centered design solutions.

📌 Application Steps

To apply for this AI-Forward UX Designer position:

• Submit your application through the Jobgether platform, ensuring your profile and resume are up-to-date.

• Curate Your Portfolio: Select projects that best showcase your UX/UI skills, with a strong emphasis on how you've integrated AI tools into your design process. Prepare clear case studies detailing your role, the AI tools used, and the outcomes.

• Tailor Your Resume: Highlight keywords related to UX/UI design, AI, generative AI, Figma, user research, prototyping, and client management. Quantify achievements where possible.

• Prepare Your Presentation: Practice walking through your portfolio, focusing on your AI integration stories. Be ready to articulate your design rationale and the benefits of your AI-driven approaches.

• Research AI in Design: Familiarize yourself with current trends and ethical considerations in AI-driven UX/UI design to demonstrate your understanding and passion for the field.

⚠️ 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.