Senior Conversational AI Designer UX/UI

📍 Job Overview

Job Title: Senior Conversational AI Designer UX/UI Company: GEICO Location: Palo Alto, CA; San Francisco, CA; New York, NY; San Jose, CA Job Type: FULL_TIME Category: User Experience (UX) / Product Design, Artificial Intelligence (AI), Customer Experience (CX) Date Posted: October 14, 2025 Experience Level: 5+ Years

🚀 Role Summary

• Design and optimize intuitive, scalable, and AI-powered conversational experiences across platforms like chatbots, IVR, and voice assistants.
• Develop and implement effective prompt engineering strategies for Generative AI systems and Large Language Models (LLMs).
• Collaborate closely with product management, engineering, and fellow designers to translate customer needs into seamless AI-enhanced interactions.
• Utilize human-centered research methodologies to deeply understand and advocate for customer behaviors and requirements in design.
• Analyze existing conversational data to identify opportunities for AI-driven improvements and expansion across customer journeys.

📝 Enhancement Note: While the job title includes "UX/UI Designer," the core responsibilities and preferred qualifications strongly indicate a specialization in Conversational AI Design with a significant focus on Generative AI and LLM integration. The role is less about traditional UI screens and more about designing the flow and intelligence of spoken and written interactions.

📈 Primary Responsibilities

• Design and refine conversational flows, wireframes, and mockups for chatbots, Interactive Voice Response (IVR) systems, voice assistants, and emerging LLM-based interfaces.
• Craft sophisticated prompts and strategic interaction designs tailored for Generative AI systems, ensuring desired outputs and user experiences.
• Partner with engineering, product management, and business stakeholders to deliver intuitive, AI-enhanced customer experiences that meet business objectives.
• Apply human-centered research methodologies, including user interviews and usability testing, to gather insights and advocate for customer needs and behaviors throughout the design lifecycle.
• Analyze current conversational paths and user feedback to identify areas for optimization, innovation, and potential AI-driven expansion.
• Establish and maintain comprehensive design guidelines, style guides, and best practices for conversational AI and generative interfaces to ensure consistency and quality.
• Collaborate closely with technical teams to integrate Natural Language Processing (NLP), Text-to-Speech (TTS), Speech-to-Text (STT), machine learning models, and LLM capabilities into cohesive cross-channel customer experiences.
• Effectively scope design requests, provide effort estimations, and demonstrate agility in adapting to evolving priorities within a dynamic, fast-paced team environment.

📝 Enhancement Note: The responsibilities emphasize a blend of strategic design thinking, deep technical understanding of AI capabilities, and practical execution within a collaborative, agile framework. The role requires not just designing conversations but also understanding the underlying AI technologies that power them.

🎓 Skills & Qualifications

Education: While no specific degree is listed, a Bachelor's degree in Human-Computer Interaction (HCI), UX/UI Design, Computer Science, Linguistics, or a related field is often preferred for senior-level design roles, especially those involving complex AI systems.

Experience:

• Minimum of 5 years of dedicated experience in conversational design, encompassing both voice and chat interfaces.
• Demonstrated application of Natural Language Processing (NLP) and robust conversation design principles in developing customer-facing experiences.
• Proven track record of analytical skill in evaluating conversational flows, user feedback, and performance metrics to drive design improvements.

Required Skills:

• Conversational Design: Expertise in designing intuitive and effective dialogue flows for chatbots, IVR, and voice assistants.
• Generative AI: Foundational understanding and practical application of Generative AI concepts in design.
• Prompt Engineering: Ability to create clear, concise, and effective prompts for LLMs and other AI models to achieve desired conversational outcomes.
• LLM-based Systems: Familiarity with the architecture and capabilities of Large Language Models and their integration into user experiences.
• User Experience (UX) Principles: Strong grasp of human-centered design principles, user journey mapping, and usability best practices.
• Wireframing & Mockup Creation: Proficiency in tools for visualizing conversational flows and user interfaces.
• Human-Centered Research: Experience applying qualitative and quantitative research methods to understand user needs and behaviors.

Preferred Skills:

• Hands-on LLM/RAG Experience: Practical experience working directly with LLMs and Retrieval-Augmented Generation (RAG) systems.
• Generative AI Platforms: Familiarity with various Generative AI platforms and their integration capabilities into customer journeys.
• Cross-Channel Design: Experience designing cohesive user experiences across multiple touchpoints, including chat, voice, mobile, and web.
• Design Tools: Proficiency with industry-standard tools such as Figma for wireframing and prototyping, and specialized conversational design platforms like Voiceflow or Amazon Lex.
• Communication & Storytelling: Excellent verbal and written communication skills, with the ability to articulate design rationale, user impact, and technical concepts effectively.
• Content Strategy: Understanding of how content strategy, design systems, and UX research methodologies contribute to successful conversational AI design.

📝 Enhancement Note: The "Preferred Qualifications" heavily emphasize practical, hands-on experience with Generative AI, LLMs, and prompt engineering, indicating that candidates with this specific expertise will be highly competitive. The inclusion of specific tools like Figma, Voiceflow, and Amazon Lex suggests a need for practical design execution skills.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Conversational Flow Designs: Showcase detailed examples of designed conversational flows for chatbots, IVR, or voice assistants, including decision trees, dialogue examples, and error handling strategies.
• Generative AI/Prompt Engineering Case Studies: Present specific examples of prompts designed for LLMs, demonstrating an understanding of prompt structure, context, and desired output refinement. Include explanations of the problem, your approach, and the results.
• User Research Integration: Illustrate how user research findings informed the design of conversational experiences, showcasing empathy and a customer-centric approach.
• System Integration Examples: If possible, provide examples or descriptions of how designed conversational elements were integrated into broader technology stacks or customer journeys.

Process Documentation:

• Workflow Design & Optimization: Demonstrate experience in mapping out conversational workflows, identifying pain points, and designing optimized paths for user engagement and task completion.
• AI Model Integration: Show an understanding of how to design interactions that effectively leverage NLP, machine learning, and LLM capabilities, including considerations for model limitations and biases.
• Performance Analysis & Iteration: Include examples of how you analyzed conversation data, user feedback, and performance metrics to iterate on and improve conversational designs.

📝 Enhancement Note: For this role, a portfolio should heavily feature examples of conversational design, with a strong emphasis on projects involving AI, LLMs, and prompt engineering. Candidates should be prepared to demonstrate not just the visual or textual output but also the strategic thinking, user research, and technical considerations behind their designs.

💵 Compensation & Benefits

Salary Range: $109,675.00 - $172,200.00 Annually

Benefits:

• Comprehensive Total Rewards Program: Tailored coverage for overall well-being.
• 401K Savings Plan: Vested from day one with a 6% company match.
• Performance & Recognition Incentives: Opportunities for performance-based bonuses and recognition.
• Tuition Assistance: Support for continued education and professional development.
• Mental Healthcare: Access to mental health resources and support.
• Fertility and Adoption Assistance: Benefits supporting family planning and growth.
• Workplace Flexibility: Options for flexible work arrangements.
• GEICO Flex Program: Ability to work remotely from anywhere in the US for up to four weeks per year.

Working Hours: Typically 40 hours per week, with flexibility expected to accommodate project needs and cross-functional collaboration across different time zones.

📝 Enhancement Note: The salary range is competitive for a Senior UX/UI Designer with specialized AI experience in the specified locations. The benefits package is robust, with a notable emphasis on financial well-being (401K match) and comprehensive health support, including mental, fertility, and adoption services. The GEICO Flex program offers a unique blend of hybrid and remote flexibility.

🎯 Team & Company Context

🏢 Company Culture

Industry: Insurance (Property and Casualty) Company Size: GEICO is a large, well-established company, part of the Berkshire Hathaway group, employing thousands of individuals across various operations and customer service functions. This scale offers stability and the opportunity to impact millions of customers. Founded: 1936

Team Structure:

• The Conversational AI Design team likely operates within a broader Digital Product, Innovation, or Customer Experience division.
• This role will report to a Design Lead or Manager overseeing AI and digital interaction design.
• Close collaboration is expected with Product Managers, AI/ML Engineers, Software Developers, UX Researchers, and business stakeholders across different GEICO departments.

Methodology:

• Data-Driven Design: Emphasis on using data analytics, user feedback, and performance metrics to inform design decisions and measure impact.
• Agile Development: Work is likely conducted in an agile or hybrid agile environment, requiring adaptability and iterative development.
• Customer-Centricity: A strong focus on understanding and serving customer needs through innovative solutions.
• Innovation & Experimentation: Encouragement to explore and implement cutting-edge technologies like Generative AI to enhance customer experiences.

Company Website: https://www.geico.com/

📝 Enhancement Note: GEICO's culture is characterized by its iconic brand, a commitment to innovation (especially in customer service), and a strong emphasis on employee growth and rewards. The "GEICO Pledge" highlights a dedication to creating a positive and supportive work environment.

📈 Career & Growth Analysis

Operations Career Level: Senior Individual Contributor. This role is for an experienced designer who can operate independently, mentor junior designers, and influence strategic direction within their domain.

Reporting Structure: The Senior Conversational AI Designer will likely report to a Design Manager or Director, with direct collaboration across product, engineering, and business teams.

Operations Impact: This role has a significant opportunity to impact GEICO's customer experience by designing more natural, efficient, and personalized interactions through AI. Improved conversational AI can lead to increased customer satisfaction, higher conversion rates, reduced support costs, and enhanced brand perception.

Growth Opportunities:

• Specialization Advancement: Deepen expertise in advanced AI design, prompt engineering, LLM integration, and emerging AI technologies.
• Leadership Development: Potential to move into Lead Designer, Principal Designer, or management roles within the AI/UX design function.
• Cross-Functional Expertise: Gain broader exposure to product management, engineering processes, and business strategy within the insurance industry.
• Mentorship: Opportunity to mentor junior designers and contribute to developing GEICO's internal AI design talent.
• Industry Influence: Contribute to shaping GEICO's future in AI-driven customer interactions, potentially presenting at internal or external forums.

📝 Enhancement Note: As a Senior role, significant autonomy and the ability to influence design strategy are expected. Growth paths likely involve deeper technical specialization in AI or a move towards leading design initiatives and teams.

🌐 Work Environment

Office Type: Hybrid Work Arrangement. The role requires employees to be in the office 2-3 days per week.

Office Location(s):

• Palo Alto, CA
• Manhattan, NYC

Workspace Context:

• Collaborative Spaces: Office days are likely to involve in-person collaboration, brainstorming sessions, and team meetings with other designers, product managers, and engineers.
• Technology Access: Employees will have access to company-provided hardware, software, and necessary tools for design, development, and communication.
• Cross-Functional Interaction: The hybrid model facilitates both focused individual work at home and collaborative team engagement in the office.

Work Schedule: Standard full-time work schedule (typically 40 hours/week), with potential for occasional adjustments to meet project deadlines or critical launch dates. Flexibility is offered through the GEICO Flex program for remote work up to four weeks per year.

📝 Enhancement Note: The hybrid model suggests a balance between focused individual work and in-person collaboration, essential for complex design projects and team synergy. The inclusion of Palo Alto and NYC as office locations caters to talent in major tech and business hubs.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: HR or recruiter call to assess basic qualifications, interest, and cultural fit.
• Hiring Manager Interview: Discussion with the hiring manager focusing on experience, role expectations, and team dynamics.
• Design Portfolio Review: A dedicated session where candidates present their work, emphasizing relevant conversational AI, generative AI, and prompt engineering projects. Expect detailed questions about design process, decision-making, and impact.
• Technical/Skills Assessment: Potentially a practical exercise or technical interview focusing on prompt engineering, conversational flow design, or problem-solving related to AI interactions.
• Cross-Functional Interviews: Meetings with key stakeholders (e.g., Product Managers, Engineers) to assess collaboration skills and understanding of the broader product development lifecycle.
• Final Interview: May involve senior leadership or a panel for final evaluation.

Portfolio Review Tips:

• Highlight AI & Generative Focus: Prioritize projects showcasing your expertise in conversational AI, Generative AI, LLMs, and prompt engineering.
• Showcase Process: Clearly articulate your design process, from research and ideation to iteration and final delivery. Use case studies to demonstrate your problem-solving approach.
• Quantify Impact: Whenever possible, present metrics that demonstrate the success and impact of your designs (e.g., improved task completion rates, reduced customer effort, increased engagement).
• Explain Design Rationale: Be prepared to explain why you made specific design choices, linking them back to user needs, business goals, and technical constraints.
• Demonstrate Collaboration: Include examples of how you collaborated with engineers, product managers, and researchers.

Challenge Preparation:

• Prompt Engineering Exercise: Be ready for a hypothetical scenario where you need to design prompts for an LLM to achieve a specific conversational outcome for GEICO customers.
• Conversational Flow Design: Prepare to sketch out or describe a conversational flow for a given customer scenario, addressing potential user intents, system responses, and error handling.
• Problem-Solving: Expect questions that require you to analyze a conversational AI challenge and propose innovative design solutions.

📝 Enhancement Note: The interview process will likely be rigorous, with a strong emphasis on a candidate's ability to demonstrate practical experience and strategic thinking in Conversational AI design, particularly with Generative AI. A well-curated portfolio is crucial for success.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: For wireframing, prototyping, and UI design of conversational interfaces.
• Voiceflow: A specialized platform for designing, prototyping, and deploying conversational AI applications.
• Amazon Lex: A service for building conversational interfaces into applications using voice and text.
• Other Conversational AI Platforms: Familiarity with similar tools for chatbot and voice assistant development.

Analytics & Reporting:

• Tools for analyzing conversation logs, user feedback, and performance metrics (specific tools not listed, but common in CX/UX roles).
• Data visualization tools for reporting on conversational AI performance and user behavior.

CRM & Automation:

• Understanding of how conversational AI integrates with CRM systems (e.g., Salesforce, though not explicitly mentioned) and other customer engagement platforms.
• Familiarity with automation principles within customer service workflows.

📝 Enhancement Note: Proficiency in Figma is standard for UX/UI roles. The explicit mention of Voiceflow and Amazon Lex indicates a need for hands-on experience with specialized conversational AI design and development platforms. Understanding how these tools interact with broader customer data platforms is also valuable.

👥 Team Culture & Values

Operations Values:

• Customer Focus: A deep commitment to understanding and serving customer needs through effective and empathetic interactions.
• Innovation & Continuous Improvement: A drive to explore and implement new technologies like Generative AI to enhance efficiency and customer experience.
• Collaboration & Teamwork: Valuing input from cross-functional partners and working collaboratively to achieve shared goals.
• Data-Driven Decision Making: Utilizing data and analytics to inform design choices and measure the success of implemented solutions.
• Integrity & Accountability: Upholding high ethical standards and taking ownership of design outcomes.

Collaboration Style:

• Cross-Functional Partnerships: Actively engages with product managers, engineers, researchers, and business stakeholders to ensure alignment and successful implementation of AI designs.
• Iterative Feedback Loops: Embraces a culture of continuous feedback and iteration among design, development, and product teams.
• Knowledge Sharing: Encourages sharing of insights, best practices, and learnings within the design and AI communities.

📝 Enhancement Note: GEICO's stated values emphasize a customer-centric approach, innovation, and collaborative problem-solving, which are critical for success in a role designing advanced AI interactions.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapidly Evolving AI Landscape: Keeping pace with the fast advancements in Generative AI, LLMs, and prompt engineering techniques.
• Balancing AI Capabilities with User Needs: Designing AI interactions that are both technically feasible and genuinely helpful and intuitive for customers.
• Ensuring Ethical AI & Bias Mitigation: Designing AI systems that are fair, unbiased, and transparent in their interactions.
• Integration Complexity: Navigating the technical complexities of integrating AI models into existing GEICO systems and customer journeys.
• Measuring ROI of Conversational AI: Developing robust metrics and reporting to demonstrate the business value and return on investment of AI-driven conversational experiences.

Learning & Development Opportunities:

• Cutting-Edge AI Training: Access to training and resources on the latest in Generative AI, LLMs, and prompt engineering.
• Industry Conferences & Certifications: Opportunities to attend relevant industry events and pursue certifications in AI and UX design.
• Mentorship Programs: Guidance from senior leaders and experienced professionals within GEICO's design and technology teams.
• Exposure to Diverse Projects: Working on a variety of AI-driven initiatives across different customer touchpoints within the insurance domain.

📝 Enhancement Note: This role is at the forefront of AI integration, presenting exciting challenges and opportunities for continuous learning and professional growth in a dynamic field.

💡 Interview Preparation

Strategy Questions:

• "How would you approach designing a conversational AI experience for a customer reporting a minor car accident using Generative AI?" (Focus on prompt design, flow, error handling, and user empathy).
• "Describe your process for evaluating and iterating on conversational flows based on user feedback and performance data." (Highlight analytical skills and iterative design).
• "How do you ensure that AI-generated responses are accurate, helpful, and aligned with brand voice and compliance requirements?" (Focus on prompt engineering, guardrails, and collaboration with compliance/legal).

Company & Culture Questions:

• "What excites you about GEICO as a company and the insurance industry?" (Research GEICO's mission, values, and recent innovations).
• "How do you see conversational AI transforming the insurance customer experience?" (Demonstrate industry insight and strategic thinking).
• "Describe a time you had to collaborate with engineers or product managers on a complex technical project. What was your role and how did you ensure success?" (Highlight teamwork and communication skills).

Portfolio Presentation Strategy:

• Start with Impact: Begin your presentation with the most relevant and impactful AI/Generative AI projects.
• Tell a Story: For each case study, clearly outline the problem, your role, your design process (especially prompt engineering and AI considerations), the solutions you implemented, and the measurable results.
• Be Prepared for Deep Dives: Expect detailed questions about your design decisions, the tools you used, and the challenges you overcame.
• Showcase Your AI Expertise: Explicitly discuss your approach to prompt engineering, LLM integration, and the specific AI technologies you utilized.
• Practice Your Narrative: Rehearse your presentation to ensure it flows logically and fits within the allocated time.

📝 Enhancement Note: Candidates should prepare to articulate their expertise in prompt engineering and Generative AI design with concrete examples. Understanding GEICO's business context and demonstrating a customer-centric approach will be key to success.

📌 Application Steps

To apply for this Senior Conversational AI Designer position:

• Submit your application through the GEICO careers portal linked in the job posting.
• Curate Your Portfolio: Select 2-3 of your strongest projects that best showcase your expertise in Conversational AI design, Generative AI, and prompt engineering. Ensure these projects clearly demonstrate your process, problem-solving skills, and impact.
• Tailor Your Resume: Highlight keywords from the job description, such as "Conversational Design," "Generative AI," "Prompt Engineering," "LLM," "UX/UI," "NLP," and specific tools like "Figma," "Voiceflow," or "Amazon Lex." Quantify your achievements whenever possible.
• Prepare Your Presentation: Practice walking through your portfolio projects, focusing on your role, design decisions, AI-specific considerations, and achieved outcomes. Be ready to answer detailed questions about your work.
• Research GEICO: Understand GEICO's brand, mission, values, and their current use of technology and AI. Prepare thoughtful questions for the interviewers about the team, company culture, and future of AI at GEICO.

⚠️ 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.

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