[Job-30840] UX Designer

📍 Job Overview

Job Title: UX Designer

Company: CI&T

Location: Brazil

Job Type: Full-time

Category: Product Design & Operations (UX/UI Focus)

Date Posted: 2026-08-10

Experience Level: Mid-Senior (5-10 years)

Remote Status: Remote OK (Brazil)

🚀 Role Summary

• Design and implement user experiences for AI-driven decision intelligence platforms, focusing on transparency and trust for financial advisors.

• Architect Human-in-the-Loop (HITL) review queues and advisor user interfaces for seamless Layer 6 delivery and operational efficiency.

• Establish and enforce UI/UX standards for agent output rendering across diverse domains, ensuring consistency and quality.

• Collaborate with cross-functional teams to review squad demos, ensuring output quality and explainability meet stringent standards before deployment.

📝 Enhancement Note: While the title is "UX Designer," the core responsibilities and required skills, particularly around AI, decision intelligence, financial workflows, and Human-in-the-Loop systems, indicate a specialized role with significant operational implications. This role bridges UX design with the operational needs of deploying and managing AI-driven insights within a complex business context. The focus on explainability and regulatory disclosures also highlights an operational compliance aspect.

📈 Primary Responsibilities

• Design the "Tier 1 Real-Time" explanation block, clearly differentiating between Behavioral and Actuarial signal types and establishing confidence labels for AI-generated insights.

• Architect the Human-in-the-Loop (HITL) review queues, optimizing workflows for efficiency and accuracy in AI model validation and refinement.

• Develop and implement the Advisor UI for Layer 6 delivery, ensuring intuitive interaction and actionable insights for financial professionals.

• Set comprehensive UI/UX standards for how agent outputs are rendered across both the core Experience and Product/Finance domains, ensuring consistency and adherence to best practices.

• Actively participate in and review squad demos, critically assessing output quality and explainability to ensure they meet predefined standards before promotion to "Shadow Mode."

• Translate complex AI outputs and data visualizations into clear, actionable user interfaces that support informed decision-making for advisors.

• Collaborate closely with AI engineers, product managers, and compliance officers to ensure AI outputs are not only user-friendly but also compliant with financial regulations and disclosure requirements.

📝 Enhancement Note: The responsibilities highlight a deep integration of UX design principles with operational deployment of AI. The emphasis on HITL queues, Layer 6 delivery, and "Shadow Mode" promotion points to a structured operational release process. The requirement to set UI/UX standards for agent outputs across different domains suggests a role in establishing operational consistency for AI-driven features.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's or Master's degree in Human-Computer Interaction (HCI), Design, Computer Science, or a related field is typically expected for this level of UX expertise.

Experience: 5-10 years of professional experience in UX design, with a strong emphasis on AI/Decision Intelligence platforms and complex financial service workflows.

Required Skills:

• Expert-level proficiency in UX design for AI and Decision Intelligence platforms, with a proven track record of designing complex, data-intensive interfaces.

• Demonstrated experience designing for complex financial service professional workflows, understanding their unique challenges and decision-making processes.

• Strong understanding of Information Architecture principles to organize and structure complex data sets for user comprehension.

• Deep knowledge of Explainable AI (XAI) principles and their practical application in user interface design.

• Proficiency in designing structured, non-LLM generated UI components that ensure reliability and control over AI outputs.

• Experience with prototyping tools (e.g., Figma, Sketch, Adobe XD) for creating interactive user flows and mockups. Preferred Skills:

• Experience with Human-in-the-Loop (HITL) system design and optimization.

• Familiarity with regulatory disclosure requirements within the financial services industry.

• Ability to conduct user research and translate findings into design solutions.

• Understanding of data visualization best practices for presenting complex information.

• Experience working in Agile/Scrum development environments.

📝 Enhancement Note: The requirements emphasize a specialized UX skillset focused on AI and financial services. The emphasis on "structured, non-LLM generated UI components" suggests a need for control and predictability in AI outputs, which is critical for operational stability and compliance. The mention of "Shadow Mode" implies experience with phased rollouts and A/B testing in an operational context.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase at least 2-3 case studies demonstrating end-to-end UX design process for AI-driven or complex data-intensive applications.

• Highlight projects that involved designing for explainability, transparency, and trust in AI outputs.

• Include examples of UI/UX standards documentation or style guides developed for complex systems.

• Demonstrate experience with Human-in-the-Loop (HITL) system interfaces or workflows if applicable.

• Present projects that involved complex financial service workflows or similar professional domains. Process Documentation:

• Clearly articulate your design process, from user research and ideation to prototyping, testing, and handoff to development.

• Detail how you incorporated XAI principles and information architecture into your design solutions.

• Illustrate how you ensured adherence to UI/UX standards and consistency across different product components or domains.

• Explain your approach to collaborating with engineering and product teams to ensure successful implementation of design solutions.

📝 Enhancement Note: For this role, a portfolio is crucial to demonstrate practical application of UX principles within operational AI systems. The emphasis should be on how designs facilitate operational efficiency, ensure compliance, and build trust. Demonstrating a structured approach to designing for explainable AI and HITL systems will be key.

💵 Compensation & Benefits

Salary Range: Based on the experience level (5-10 years), the specialized nature of AI/XAI UX, and the location in Brazil, a competitive salary range for a Senior UX Designer in this field would typically fall between R$ 12,000 to R$ 20,000 per month. This estimate considers the demand for specialized UX talent, the complexity of the role, and the cost of living in major Brazilian tech hubs.

Benefits:

• Comprehensive Health and Dental Insurance.

• Meal and Food Allowances.

• Childcare Assistance.

• Extended Paternity Leave.

• Partnership with gyms and health/wellness professionals via Wellhub (Gympass) and TotalPass.

• Profit Sharing and Results Participation (PLR).

• Life Insurance.

• Access to a Continuous Learning Platform (CI&T University).

• Discount Club membership.

• Free online platform dedicated to physical, mental, and overall well-being.

• Pregnancy and Responsible Parenting Course.

• Partnerships with online learning platforms.

• Language learning platform.

Working Hours: Standard full-time working hours, likely around 40 hours per week, with flexibility offered given the remote work arrangement. The nature of the role may require some adaptability to align with global team schedules or critical deployment phases.

📝 Enhancement Note: Salary estimation is based on industry benchmarks for senior UX designers in Brazil, adjusted for the specialized AI/XAI and financial services domain. The provided benefits list is extensive and aligns with competitive offerings in the Brazilian tech market, particularly for remote roles.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, Digital Transformation, AI Deployment, Consulting. CI&T operates at the forefront of helping large enterprises leverage AI for business impact, focusing on AI Deployment, AI-native execution, and integrated business solutions.

Company Size: 8,000+ employees across more than 25 countries. This signifies a large, global organization with established processes and a wide reach, offering stability and opportunities for diverse project involvement.

Founded: 30 years of experience in technological transformation. This long history indicates deep expertise, resilience, and a proven track record in adapting to evolving technological landscapes.

Team Structure:

• The UX Designer will likely be part of a product development squad, working closely with Product Managers, AI Engineers, Data Scientists, and potentially other UX/UI specialists.

• Reporting structure is expected to be within a Product or Design department, with potential direct reporting to a Design Lead or Head of Product Design.

• Cross-functional collaboration is paramount, requiring seamless interaction with business stakeholders, compliance teams, and engineering teams to ensure successful AI deployment and integration. Methodology:

• Data-driven decision-making is a core component, with a strong emphasis on AI deployment and AI-native execution.

• Workflow planning and optimization are critical, especially in designing efficient Human-in-the-Loop systems and user interfaces for complex financial processes.

• Automation and efficiency practices are likely embedded in the company's approach to digital transformation and AI solutions.

Company Website: https://ciandt.com/

📝 Enhancement Note: CI&T's focus on AI deployment and transformation for large enterprises suggests a dynamic environment where operational excellence and innovative solutions are highly valued. The company's size and global presence imply a structured yet collaborative work environment.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Mid-Senior to Senior UX Designer, with a specialization in AI and complex financial workflows. It requires a blend of strong design fundamentals and a deep understanding of operationalizing AI insights. The responsibilities suggest a significant impact on how AI is perceived and utilized by end-users, directly influencing operational adoption and effectiveness.

Reporting Structure: The UX Designer will likely report to a Design Manager or Lead within a product-focused team. Collaboration will extend across engineering, product management, and AI/Data Science departments, requiring strong communication and stakeholder management skills.

Operations Impact: The UX Designer's work directly impacts the operational success of AI initiatives. By ensuring AI insights are explainable, actionable, and trusted, they facilitate better decision-making by financial advisors, leading to improved operational efficiency, compliance, and potentially revenue generation. The design of HITL queues and UI standards directly influences the day-to-day operational workflows of users.

Growth Opportunities:

• Specialization: Deepen expertise in UX for AI, Explainable AI (XAI), and Decision Intelligence platforms, becoming a go-to expert in this niche.

• Leadership: Transition into a Lead UX Designer role, mentoring junior designers and guiding design strategy for larger AI initiatives.

• Cross-functional Mobility: Explore roles in Product Management or AI Strategy, leveraging deep understanding of user needs and AI operationalization.

• Skill Development: Access to CI&T University and other learning platforms for continuous upskilling in areas like advanced AI, new design methodologies, and business strategy.

📝 Enhancement Note: This role offers a unique opportunity to shape the future of AI interaction within the financial sector. Growth potential lies in specializing within AI UX, leading design efforts, or moving into strategic product roles. The emphasis on operational impact means career progression can be tied to the successful deployment and adoption of AI solutions.

🌐 Work Environment

Office Type: This position is primarily remote, with the flexibility to work from home within Brazil. While not explicitly stated, large tech companies often foster hybrid environments if employees prefer to work from an office, offering collaborative spaces and amenities.

Office Location(s): While the role is remote within Brazil, CI&T has a significant presence in Brazil, with offices in major cities like São Paulo, Campinas, and Belo Horizonte. This provides potential for in-person collaboration days or access to company resources if desired.

Workspace Context:

• The remote setup necessitates a self-disciplined approach to work, with a focus on asynchronous communication and effective use of digital collaboration tools.

• Expect access to a robust digital toolset for design, communication, and project management, essential for remote team collaboration.

• Opportunities for virtual team-building activities and cross-functional interaction will be available to foster a sense of community and collaboration.

Work Schedule: Standard full-time (approximately 40 hours/week). Remote work often provides some flexibility in daily scheduling, but core collaboration hours will likely be established to align with team needs and project timelines. Adherence to project deadlines and availability for critical meetings will be expected.

📝 Enhancement Note: The remote-first nature of this role in Brazil offers significant flexibility. The company's global presence and established infrastructure suggest a well-supported remote work environment.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter will likely assess your resume and portfolio for relevant experience in UX, AI, and financial services.

• Hiring Manager/Design Lead Interview: Discussion of your background, experience with AI/XAI, and approach to complex design challenges. This may include a review of your portfolio.

• Design Challenge/Case Study Presentation: You may be asked to present a detailed case study from your portfolio, focusing on your process, problem-solving, and impact. Alternatively, a take-home design challenge related to AI explainability or financial workflows might be assigned.

• Team/Cross-functional Interview: Meet with potential team members (e.g., AI Engineers, Product Managers) to assess cultural fit, collaboration style, and technical understanding.

• Final Interview: Potentially with a senior leader to discuss overall fit, career aspirations, and confirm alignment with company vision.

Portfolio Review Tips:

• Focus on Process: Clearly articulate your design process for each case study, emphasizing research, ideation, iteration, and testing.

• Highlight AI & XAI: Showcase specific examples of how you designed for explainability, transparency, and trust in AI-generated insights. Use visual aids to demonstrate your solutions.

• Quantify Impact: Where possible, use metrics to demonstrate the impact of your designs on user behavior, operational efficiency, or business outcomes.

• Explain Technical Constraints: Discuss how you worked within technical limitations or collaborated with engineers to implement your designs, especially concerning structured UI components.

• Tailor to the Role: Emphasize projects that align with financial services workflows and decision intelligence platforms.

Challenge Preparation:

• Understand AI Explainability: Be ready to discuss concepts of XAI, signal types (behavioral vs. actuarial), and confidence labels.

• Financial Workflows: Familiarize yourself with common workflows and pain points for financial advisors.

• HITL Systems: Understand the purpose and design considerations for Human-in-the-Loop systems.

• UI Standards: Prepare to discuss your approach to establishing and maintaining UI/UX consistency.

📝 Enhancement Note: The interview process will heavily scrutinize your ability to translate complex AI concepts into user-friendly and operationally sound designs. A strong portfolio showcasing relevant experience and a clear understanding of your design process are critical.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma, Sketch, Adobe XD (proficiency expected in at least one).

• Collaboration: Slack, Microsoft Teams, Confluence, Jira.

• User Research & Testing: UserTesting.com, Maze, Lookback, or similar platforms.

Analytics & Reporting:

• While not directly a UX responsibility, familiarity with how UX impacts user engagement metrics tracked via tools like Google Analytics, Adobe Analytics, or custom internal dashboards is beneficial. CRM & Automation:

• Understanding how UX integrates with CRM systems (e.g., Salesforce) and workflow automation tools is advantageous for designing seamless end-user experiences within larger business processes.

📝 Enhancement Note: Proficiency in industry-standard UX design and prototyping tools is a baseline requirement. Familiarity with collaboration platforms and an understanding of how UX influences broader business systems will be beneficial.

👥 Team Culture & Values

Operations Values:

• Transparency & Trust: This is a core value, directly reflected in the requirement to design explainable and trustworthy AI insights for advisors.

• Data-Driven Innovation: CI&T's focus on AI deployment means decisions are informed by data, and innovation is driven by technological advancements and business impact.

• Efficiency & Optimization: Designing for operational efficiency, particularly within complex workflows and HITL systems, is key.

• User-Centricity: A strong emphasis on understanding and empathizing with the end-user (Advisor) to create effective solutions.

• Collaboration: Working seamlessly across diverse teams to deliver integrated solutions.

Collaboration Style:

• Cross-functional Integration: Expect to work closely with AI engineers, product managers, data scientists, and potentially compliance and business analysts.

• Agile Methodologies: Likely to be integrated into Agile squads, participating in sprints, stand-ups, and retrospectives.

• Feedback-Oriented: A culture that encourages constructive feedback on designs and processes to drive continuous improvement.

• Knowledge Sharing: Active participation in sharing insights, best practices, and learnings within the design and product teams.

📝 Enhancement Note: The company culture appears to be a blend of innovation, operational rigor, and a strong focus on user outcomes, especially within the context of AI deployment. Empathy and collaboration are highlighted as crucial for success.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Explainable AI: Translating complex AI models and their outputs into understandable and actionable insights for users is a significant design challenge.

• Balancing User Needs with Regulatory Compliance: Ensuring designs meet both user requirements and strict financial industry regulations.

• Integrating AI into Existing Workflows: Seamlessly incorporating AI-driven features into established financial advisor workflows without disrupting productivity.

• Keeping Pace with AI Advancements: The rapid evolution of AI technologies requires continuous learning and adaptation of design approaches.

Learning & Development Opportunities:

• AI & XAI Specialization: Opportunities to become a leader in UX for AI through specialized training, projects, and conferences.

• Financial Services Domain Expertise: Deepen understanding of financial markets, regulations, and advisor needs.

• Leadership Development: Potential to grow into leadership roles, guiding design strategy and mentoring teams.

• Continuous Learning Platform: Access to CI&T University and other resources for ongoing professional development in technology, design, and business.

📝 Enhancement Note: This role presents both challenges and significant growth opportunities in a cutting-edge field. Successfully navigating these challenges will position the candidate for advanced roles in AI and product design.

💡 Interview Preparation

Strategy Questions:

• "How would you approach designing an explanation interface for an AI model that predicts market trends, ensuring it's both informative and trustworthy for financial advisors?"

• "Describe your process for defining UI/UX standards for AI-generated outputs across different product domains. What are the key considerations for consistency and quality?"

• "Imagine a scenario where an AI provides a recommendation with a low confidence score. How would you design the UI to communicate this uncertainty to an advisor effectively, considering regulatory implications?" Company & Culture Questions:

• "What interests you most about CI&T's approach to AI deployment and digital transformation?"

• "How do you see your role contributing to building trust in AI within a financial services context?"

• "Describe a time you collaborated with engineers or data scientists on a complex technical project. What were the challenges and how did you overcome them?" Portfolio Presentation Strategy:

• Storytelling: Frame your case studies as narratives, detailing the problem, your process, the solutions you designed, and the impact achieved.

• Visual Clarity: Use high-fidelity mockups, prototypes, and flow diagrams to illustrate your design thinking.

• Focus on the "Why": Explain the rationale behind your design decisions, linking them back to user needs, business goals, and operational requirements.

• Demonstrate Problem-Solving: Highlight how you tackled complex challenges, especially those related to data interpretation, explainability, and user adoption.

📝 Enhancement Note: Preparation should focus on demonstrating a deep understanding of UX principles applied to AI, with a specific awareness of the financial services industry and operational deployment considerations. Be ready to articulate your thought process clearly and concisely.

📌 Application Steps

To apply for this UX Designer position:

• Submit your application through the provided link on jobs.lever.co.

• Tailor your Resume: Highlight experience with AI/Decision Intelligence platforms, Explainable AI (XAI), financial services workflows, and Human-in-the-Loop systems. Use keywords from the job description.

• Curate your Portfolio: Select 2-3 strong case studies that best showcase your skills in AI UX, complex data visualization, and designing for trust and explainability. Ensure your portfolio clearly outlines your design process and impact.

• Prepare your Portfolio Presentation: Practice walking through your case studies, focusing on your problem-solving approach, design decisions, and the operational implications of your solutions. Be ready to discuss specific challenges like designing for low-confidence AI outputs or regulatory disclosures.

• Research CI&T: Understand the company's mission, values, and recent work in AI deployment. Prepare to discuss why CI&T is a good fit for your career aspirations and how your skills align with their operational goals.

⚠️ 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.