[Job-30840] UX Designer

📍 Job Overview

Job Title: UX Designer (Job-30840)

Company: CI&T

Location: Brazil

Job Type: Full-Time

Category: UX/Product Design, AI/Decision Intelligence

Date Posted: 2026-08-10

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

Remote Status: Remote OK (Brazil-based)

🚀 Role Summary

• Design user experiences for AI-generated insights, focusing on transparency, trust, and explainability for financial advisors.

• Develop UI/UX standards for agent outputs across Experience, Product, and Finance domains, ensuring consistent quality and adherence to best practices.

• Architect Human-in-the-Loop (HITL) review queues and advisor UIs to facilitate effective AI model oversight and refinement.

• Collaborate with cross-functional teams to ensure AI outputs meet quality, safety, and regulatory disclosure standards before deployment.

📝 Enhancement Note: This role is highly specialized, focusing on the intersection of UX design, AI, and financial services. The emphasis on "transparent, high-trust user experience" and "explainable AI" suggests a critical need for designers who can translate complex AI outputs into easily understandable and actionable information for professional users. The mention of "Agentic SDLC" and "Shadow Mode" indicates a forward-thinking approach to AI development and deployment within CI&T.

📈 Primary Responsibilities

• Design and prototype the "Tier 1 Real-Time" explanation block, clearly differentiating between behavioral and actuarial signal types and defining confidence labels.

• Architect the workflow for Human-in-the-Loop (HITL) review queues, optimizing the process for advisor interaction and AI model improvement.

• Develop and implement UI/UX standards for rendering agent outputs across various domains, including Experience, Product, and Finance, ensuring a cohesive user journey.

• Conduct thorough reviews of squad demos to assess output quality, explainability, and adherence to defined standards before promoting to "Shadow Mode."

• Translate complex data and AI-generated insights into visually compelling and easily digestible formats for financial advisors, facilitating effective decision-making.

• Ensure all UI designs and explanations comply with relevant regulatory disclosures and industry standards within the financial services sector.

📝 Enhancement Note: The responsibilities highlight a deep dive into the practical application of UX within an AI-driven environment, particularly for financial services. The emphasis on structured UI components and explainability suggests a move beyond traditional conversational AI interfaces towards more controlled and interpretable AI outputs. This requires a designer capable of both strategic system design and detailed UI execution.

🎓 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 role.

Experience: 5-10 years of professional UX design experience, with a significant portion focused on AI-driven platforms and complex workflow design.

Required Skills:

• Demonstrated expertise in UX design for AI and Decision Intelligence platforms.

• Proven experience designing user interfaces and workflows for complex financial service professional roles (e.g., advisors, analysts).

• Strong understanding of Information Architecture principles to structure complex data and user flows effectively.

• In-depth knowledge of Explainable AI (XAI) principles and their practical application in UI design.

• Proficiency in designing structured, non-LLM generated UI components and data visualizations.

• Skill in creating intuitive interfaces for Human-in-the-Loop (HITL) systems. Preferred Skills:

• Experience with user research methodologies and translating user needs into design solutions for technical products.

• Familiarity with Agile development methodologies and cross-functional team collaboration.

• Ability to create high-fidelity prototypes for user testing and stakeholder presentations.

• Experience in designing for regulatory compliance and disclosure requirements in financial services.

• Visual storytelling skills to effectively communicate complex data insights.

📝 Enhancement Note: The "Required Skills" are very specific and indicate a niche role. Candidates should emphasize their experience with AI interfaces, financial domain complexity, and XAI. The "non-LLM generated UI components" requirement suggests a focus on more deterministic and controllable AI outputs rather than purely generative text, requiring a different design approach.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase at least 2-3 case studies demonstrating your UX design process for AI or complex data-driven platforms.

• Highlight projects involving explainable AI (XAI) or the visualization of complex decision-making processes.

• Include examples of designing interfaces for professional users in regulated industries, such as financial services.

• Demonstrate your ability to design structured UI components and data visualization elements.

• Feature projects that involved Human-in-the-Loop (HITL) components or workflow optimization. Process Documentation:

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

• Detail how you incorporated user feedback and iterative design principles into your projects.

• Explain your approach to collaborating with product managers, engineers, and data scientists.

• Demonstrate how you ensured design solutions met technical constraints and business objectives.

📝 Enhancement Note: For this role, the portfolio is crucial. Candidates must go beyond standard UX case studies to showcase their understanding of AI's unique design challenges, particularly concerning transparency and explainability in a regulated environment. Quantifiable results and clear articulation of the "why" behind design decisions will be highly valued.

💵 Compensation & Benefits

Salary Range: Given the 5-10 years of experience requirement, the specialized nature of AI/XAI UX, and the Brazil location, the estimated annual salary range for a UX Designer in Brazil would typically fall between BRL 120,000 to BRL 200,000. This can vary significantly based on specific experience, negotiation, and the precise region within Brazil.

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.

• Continuous Learning Platform (CI&T University) and partnerships with online learning platforms.

• Language Learning Platform.

• Discount Club.

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

• Pregnancy and Responsible Parenting Course.

• Numerous other partnerships and programs.

Working Hours: Standard full-time working hours, likely around 40 hours per week, with flexibility often provided due to the remote nature of the role.

📝 Enhancement Note: The salary estimate is based on general market data for experienced UX Designers in Brazil, adjusted upwards for the specialized AI/XAI and financial services domain expertise. CI&T offers a robust benefits package, which is a significant draw for candidates. The "Homeoffice" employment type confirms the remote flexibility for individuals based in Brazil.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology Consulting and Digital Transformation Services. CI&T operates at the forefront of technological innovation, helping large enterprises leverage AI, application modernization, data, and Martech for business impact.

Company Size: 8,000+ employees. This indicates a large, established organization with a global presence, offering stability and opportunities for career growth while maintaining a dynamic, innovative culture.

Founded: 1995. With nearly 30 years of experience, CI&T has a proven track record in technological transformation, suggesting a deep well of expertise and a mature approach to client solutions.

Team Structure:

• The UX team likely operates within project-based structures, collaborating closely with AI/Data Science teams, engineering squads, and product managers.

• Cross-functional collaboration is essential, given the nature of designing complex AI solutions that span multiple business domains (Experience, Product, Finance).

• Reporting lines would typically involve a Design Lead or Manager, with direct involvement from project stakeholders. Methodology:

• CI&T emphasizes an "AI-native execution" approach, integrating AI into development lifecycles.

• They focus on "tech-integrated business solutions," meaning technology is not an afterthought but a core driver of business strategy.

• The company promotes continuous learning and innovation, encouraging experimentation with new technologies and methodologies.

Company Website: https://ciandt.com/

📝 Enhancement Note: CI&T's positioning as a leader in AI deployment and digital transformation suggests a fast-paced, intellectually stimulating environment. The company's size and global reach offer significant opportunities for professional development and exposure to diverse projects. The culture likely values innovation, collaboration, and a strong understanding of how technology drives business outcomes.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned at a Mid-Senior level (5-10 years of experience), indicating significant autonomy and responsibility. The UX Designer is expected to lead design efforts for complex AI features, influence product direction, and mentor junior designers if applicable.

Reporting Structure: The UX Designer will likely report to a Design Manager or Lead within CI&T's digital transformation practice. They will work in close collaboration with AI/ML engineers, data scientists, product managers, and client stakeholders, forming agile squads for specific projects.

Operations Impact: The role has a direct impact on how financial advisors interact with and trust AI-generated insights. Successful UX design in this context can lead to increased advisor efficiency, better decision-making, improved client outcomes, and enhanced adoption of AI technologies within client organizations.

Growth Opportunities:

• Specialization: Deepen expertise in AI/XAI UX, Decision Intelligence, or specific industry verticals like Financial Services.

• Leadership: Transition into a Senior UX Designer, Lead UX Designer, or Design Manager role, overseeing teams and strategic design initiatives.

• Cross-functional Development: Gain broader exposure to AI/ML development processes, data science, and business strategy through project involvement.

• Mentorship: Mentor junior designers and contribute to CI&T's design community of practice.

• Client-facing roles: Develop skills in client communication, strategic consulting, and solution architecture.

📝 Enhancement Note: The growth trajectory for a UX Designer at CI&T, especially in a specialized area like AI, is strong. The company's focus on innovation means opportunities to work with cutting-edge technologies and contribute to impactful business solutions. The emphasis on AI deployment and AI-native execution suggests a career path that evolves with the advancements in artificial intelligence.

🌐 Work Environment

Office Type: The "Homeoffice" employment type indicates that this role is fully remote, allowing individuals to work from their preferred location within Brazil.

Office Location(s): While the role is remote, CI&T has a global presence with offices in multiple countries. For Brazil, this might include hubs in major cities, though the specific operational base for remote employees is flexible within the country.

Workspace Context:

• Collaborative Environment: While remote, expect frequent virtual collaboration through video conferencing, Slack/Teams, and project management tools.

• Tools & Technology: Access to industry-standard design software, AI/ML platforms (likely client-specific), and CI&T's internal collaboration and learning tools.

• Team Interaction: Regular virtual meetings, design critiques, sprint reviews, and potentially occasional in-person gatherings or client site visits if deemed necessary.

Work Schedule: A standard 40-hour work week is typical for full-time roles. Remote work often offers some flexibility in daily scheduling, provided that collaboration with teams across different time zones (if applicable) and meeting commitments are met.

📝 Enhancement Note: The fully remote nature of this role offers significant flexibility. Candidates should be comfortable working independently and proactively engaging with remote teams. The company's global presence and focus on large enterprises suggest that interactions might sometimes span different time zones, requiring adaptability.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will likely conduct an initial phone screen to assess basic qualifications, experience, and cultural fit.

• Portfolio Review & Design Challenge: Expect a deep dive into your portfolio. You may be asked to present a specific case study in detail, explaining your process, decisions, and outcomes. A design challenge or exercise, potentially related to AI explainability or financial workflows, may be assigned.

• Technical/Team Interviews: Interviews with hiring managers, design leads, and potentially AI/product team members to assess technical expertise, problem-solving skills, and collaboration style.

• Final Interview: Possibly a final interview with a senior leader to discuss strategic alignment and long-term fit.

Portfolio Review Tips:

• Focus on AI & XAI: Select case studies that clearly demonstrate your experience with AI platforms, decision intelligence, and especially Explainable AI (XAI).

• Highlight Financial Services: If possible, showcase projects within the financial services industry or similar regulated environments.

• Detail Your Process: Clearly articulate your design process, emphasizing research, problem-solving, and iterative design.

• Quantify Impact: Whenever possible, use metrics to demonstrate the impact of your design solutions (e.g., improved advisor efficiency, increased user adoption, reduced error rates).

• Explainability is Key: For this role, explicitly discuss how you designed for transparency, trust, and understandability of AI outputs.

Challenge Preparation:

• Understand XAI: Brush up on core XAI principles and common methods for making AI outputs understandable.

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

• Structured Data: Practice designing interfaces for structured data and decision trees, not just free-form text.

• Regulatory Awareness: Be prepared to discuss the importance of regulatory disclosures in financial services UX.

📝 Enhancement Note: The portfolio review and potential design challenge are critical. Candidates must be prepared to articulate their expertise in designing for AI's unique challenges, particularly in a high-stakes domain like finance. Demonstrating empathy for the end-user (advisor) and a keen eye for detail regarding regulatory disclosures will be paramount.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma, Sketch, Adobe XD, InVision (or similar industry-standard tools).

• User Research: UserTesting.com, Maze, Optimal Workshop, or various qualitative research tools.

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

Analytics & Reporting:

• While not directly designing analytics tools, understanding how to interpret data from tools like Google Analytics, Amplitude, or Mixpanel to inform design decisions is beneficial. CRM & Automation:

• Familiarity with CRM systems (e.g., Salesforce) and how UX design impacts user adoption and efficiency within these platforms is helpful, particularly in a financial services context.

📝 Enhancement Note: The primary tools will be standard UX design and collaboration software. The key differentiator will be the candidate's ability to apply these tools to the specific challenges of designing for AI and Decision Intelligence platforms within the financial services sector.

👥 Team Culture & Values

Operations Values:

• Innovation: A drive to explore and implement cutting-edge technologies like AI and Agentic SDLC.

• Client Focus: A commitment to delivering real business impact for large enterprises.

• Collaboration: Emphasis on working effectively across diverse, cross-functional teams.

• Continuous Learning: Encouragement to stay updated with the latest technological advancements and design methodologies.

• Transparency & Trust: A core value for this specific role, extending to how AI systems are designed and presented to users.

Collaboration Style:

• Agile & Iterative: Working in agile squads with frequent feedback loops and iterative development.

• Cross-functional Integration: Close partnership with AI/ML engineers, data scientists, product managers, and business analysts.

• Data-Informed Design: Utilizing data and user insights to drive design decisions and measure impact.

• Open Communication: Encouraging open dialogue and constructive feedback within teams and with clients.

📝 Enhancement Note: CI&T's culture likely fosters a dynamic and growth-oriented environment. The emphasis on "AI-native execution" and "tech-integrated business solutions" suggests a team that is forward-thinking and dedicated to leveraging technology for tangible business results. The specific values for this role will center on ethical AI design and user trust.

⚡ Challenges & Growth Opportunities

Challenges:

• Bridging AI Complexity and User Understanding: The primary challenge is translating sophisticated AI outputs into intuitive, understandable, and trustworthy interfaces for financial advisors.

• Regulatory Compliance: Ensuring designs meet stringent regulatory requirements and disclosure standards in the financial services industry.

• Evolving AI Landscape: Staying abreast of rapid advancements in AI and adapting design strategies accordingly.

• Cross-functional Alignment: Effectively collaborating with technical teams (AI/ML engineers, data scientists) who may have different priorities and communication styles.

Learning & Development Opportunities:

• AI/XAI Specialization: Deepen expertise in cutting-edge AI design principles and technologies.

• Financial Services Domain Knowledge: Gain in-depth understanding of financial advisory workflows and regulatory environments.

• Advanced UX Techniques: Master complex data visualization, decision intelligence design, and Human-in-the-Loop system design.

• Global Project Exposure: Work on diverse projects for large enterprises across different regions.

• Mentorship & Leadership: Opportunities to grow into senior or leadership roles within CI&T's design practice.

📝 Enhancement Note: The challenges presented are significant but offer substantial opportunities for professional growth. This role is ideal for a designer who thrives on complex problem-solving and wants to be at the forefront of AI application in critical industries.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you designed a user experience for a complex AI system. What were the key challenges, and how did you address them?" (Focus on explainability, trust, and data interpretation).

• "How would you approach designing an interface for 'Human-in-the-Loop' review of AI-generated financial advice?" (Discuss workflow, feedback mechanisms, and advisor controls).

• "Imagine you need to present AI-generated insights to a financial advisor who is skeptical about AI. How would you design the UI to build their trust and demonstrate value?" (Emphasize transparency, clear signal types, and confidence scoring). Company & Culture Questions:

• "What interests you most about CI&T's work in AI deployment and digital transformation?" (Research their case studies and AI initiatives).

• "How do you approach collaboration with engineers and data scientists on AI projects?" (Highlight your communication and cross-functional skills).

• "How do you ensure your designs meet regulatory requirements, particularly in a sensitive industry like financial services?" (Discuss your attention to detail and research process). Portfolio Presentation Strategy:

• Structure Your Narrative: For each case study, clearly define the problem, your role, your design process, the solutions you implemented, and the measurable outcomes.

• Emphasize XAI and Financial Context: Specifically call out how your design decisions addressed explainability, transparency, and the needs of financial professionals.

• Show, Don't Just Tell: Use visuals (wireframes, mockups, prototypes) effectively. If possible, demonstrate interactive elements or prototypes.

• Be Prepared for Deep Dives: Anticipate detailed questions about your design choices, user research, and problem-solving approaches.

📝 Enhancement Note: Interview preparation should focus heavily on demonstrating a deep understanding of AI UX principles, specifically in the context of financial services and explainability. Candidates should be ready to articulate their design process with clarity and provide concrete examples of how they've navigated complex technical and regulatory landscapes.

📌 Application Steps

To apply for this UX Designer position:

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

• Tailor your resume: Highlight keywords such as "UX Designer," "AI," "Explainable AI (XAI)," "Decision Intelligence," "Financial Services," "Information Architecture," and "Human-in-the-Loop (HITL)." Quantify achievements wherever possible.

• Curate your portfolio: Select 2-3 of your strongest case studies that best represent your experience in AI/XAI UX and/or financial services. Ensure they clearly articulate your process, challenges, solutions, and outcomes.

• Prepare your presentation: Practice walking through your portfolio case studies, focusing on your role, design decisions, and the impact of your work. Be ready to discuss your approach to explainability and user trust in AI.

• Research CI&T: Understand their mission, their work in AI deployment, and their company culture to articulate your interest and fit.

⚠️ 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.