Sr AI UX and UI Developer

📍 Job Overview

Job Title: Sr AI UX and UI Developer

Company: Honeywell Aerospace

Location: Phoenix, AZ (Hybrid) / Charlotte, NC (Hybrid)

Job Type: Full time

Category: AI Development & User Experience

Date Posted: 2026-04-10

Experience Level: 5-10 Years

Remote Status: Hybrid

🚀 Role Summary

• Design and implement cutting-edge user interfaces for advanced AI solutions, encompassing classic machine learning, generative AI (GenAI), and agentic AI functionalities.

• Develop and maintain modern front-end applications using React, seamlessly integrating with sophisticated backend AI services, Retrieval Augmented Generation (RAG) pipelines, and agent orchestration engines.

• Craft intuitive agentic interaction patterns, including multi-step workflows, tool invocation visualizations, conversational UI, human-in-the-loop controls, and AI traceability interfaces.

• Create compelling data visualizations and interactive dashboards using Tableau to effectively communicate AI model outputs, system telemetry, quality metrics, and critical business insights.

📝 Enhancement Note: This role is highly specialized, focusing on the intersection of AI development and user experience. It requires a deep understanding of both front-end development principles and the nuances of designing interfaces for complex AI systems, including emerging agentic AI. The emphasis on RAG pipelines and agent orchestration highlights the role's involvement in cutting-edge AI applications.

📈 Primary Responsibilities

• Design and develop intuitive, performant, and scalable user interfaces for AI-powered applications across classic ML insights, GenAI experiences, and agentic AI interfaces.

• Build modern front-end applications using React, integrating with backend AI services, RAG pipelines, agent orchestration engines, and various data APIs.

• Design and implement sophisticated agentic interaction patterns, including multi-step agent workflows, tool invocation visualizations, conversational UI, human-in-the-loop controls, and AI traceability interfaces.

• Develop rich data visualizations and interactive dashboards using Tableau to present AI model outputs, system telemetry, quality metrics, and user-facing insights.

• Translate complex AI concepts—such as model predictions, confidence scores, agent reasoning chains, and retrieval context—into clean, understandable, and human-centered UI components.

• Collaborate closely with AI architects, data scientists, ML engineers, and software developers to ensure front-end interfaces are technically aligned with and enhance backend AI capabilities.

• Conduct user research, usability testing, and iterative design cycles to continuously refine interface behavior, accessibility, and task success rates for AI-driven tools.

• Create and maintain reusable design components, comprehensive UI style guides, and UX standards for AI-driven applications across diverse business domains.

• Ensure adherence to high standards of code quality, performance, security, accessibility, and responsiveness across all devices and platforms.

📝 Enhancement Note: The responsibilities clearly indicate a need for a developer who can bridge the gap between complex AI technology and user needs. The emphasis on agentic AI, RAG, and human-in-the-loop systems suggests a forward-thinking role in a rapidly evolving AI landscape.

🎓 Skills & Qualifications

Education:

Experience:

• Minimum of 5-10 years of professional experience in UI/UX design or front-end development, with a strong focus on building complex, data-intensive applications.

Required Skills:

• Front-end Development: Expert proficiency in React, JavaScript, and TypeScript for building modern, scalable web applications.

• UI/UX Design Principles: Strong understanding of user-centered design, information architecture, interaction design, and visual design principles.

• Data Visualization: Demonstrated ability to create effective data visualizations and dashboards, with specific experience using Tableau.

• AI/ML Interface Design: Experience or a strong aptitude for translating complex AI concepts (e.g., model outputs, reasoning, RAG context) into user-friendly interfaces.

• API Integration: Proficiency in integrating front-end applications with backend services and APIs, including those powering AI models and agentic workflows.

• Styling & CSS: Strong command of CSS and preprocessors like SCSS for creating responsive and visually appealing interfaces.

• Agile Methodologies: Experience working within Agile development frameworks, including Scrum or Kanban.

Preferred Skills:

• Experience with Generative AI (GenAI) or Agentic AI development and their accompanying user interface patterns.

• Familiarity with RAG pipelines, agent orchestration engines, and related AI technologies.

• Experience with user research methodologies, usability testing, and conducting iterative design cycles.

• Knowledge of accessibility standards (e.g., WCAG) and best practices for inclusive design.

• Familiarity with design tools such as Figma, Sketch, or Adobe XD for prototyping and design handoff.

• Understanding of AI traceability and human-in-the-loop system design.

• Experience in the aerospace or complex industrial technology sectors.

📝 Enhancement Note: The requirement for U.S. citizenship, implied by the 'Aerospace' context and common in defense-related sectors, is a critical qualification. The strong emphasis on React and Tableau, coupled with the need to understand and visualize complex AI outputs, defines the core technical demands.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase of AI/ML Interface Design: Demonstrations of UI/UX projects specifically designed for AI or machine learning applications, highlighting problem-solving for complex data.

• React Application Examples: Working examples or detailed case studies of front-end applications built with React, emphasizing scalability, performance, and maintainability.

• Data Visualization Projects: Portfolios featuring data visualizations created with Tableau or similar tools, illustrating the ability to convey insights from complex datasets effectively.

• Agentic AI/GenAI Interface Concepts: Prototypes or case studies that illustrate thoughtful design for agentic workflows, conversational AI, or GenAI interactions, showcasing an understanding of these emerging patterns.

• Usability Testing & Iteration: Evidence of user research, usability testing, and how feedback was incorporated to improve designs and user experience.

Process Documentation:

• Workflow Design & Optimization: Examples of how you've designed or optimized user workflows for complex applications, focusing on efficiency and task completion.

• System Integration Examples: Documentation or case studies detailing how front-end applications were integrated with backend services, APIs, or data pipelines.

• Component Library Development: Examples of creating reusable UI components or style guides that promote consistency and efficiency in development.

• Metrics & Performance Analysis: Demonstrations of how you've used metrics to evaluate the success of UI/UX designs and drive iterative improvements.

📝 Enhancement Note: A strong portfolio is paramount for this role. Candidates should curate projects that specifically highlight their ability to design intuitive interfaces for complex, data-driven AI systems, rather than generic web applications. Emphasis on the "why" behind design decisions and the quantifiable impact of those decisions will be key.

💵 Compensation & Benefits

Salary Range:

Given the Sr. level, specialized AI/UX skills, and Phoenix, AZ location, a competitive salary range is estimated between $130,000 - $170,000 annually. This estimate is based on industry benchmarks for Senior Front-End Developers and UI/UX Designers with AI specialization in major tech hubs, adjusted for Phoenix's cost of living and the aerospace industry's compensation standards.

Benefits:

Honeywell Aerospace offers a comprehensive benefits package designed to support employees and their families:

• Health & Wellness: Medical insurance, Dental insurance, Vision insurance, Short-term disability, Long-term disability, Employee assistance program.

• Financial Security: Life insurance, 401(k) with company match, Flexible spending accounts, Health savings accounts.

• Work-Life Balance: Paid time off, Paid holidays, Parental leave.

• Professional Development: Educational assistance.

Working Hours:

• Standard full-time employment is typically 40 hours per week.

• A hybrid work schedule is in effect, requiring a balance of remote work and in-office presence. Specific in-office days will be determined by team needs and management.

📝 Enhancement Note: The salary range is an estimation. Actual compensation will vary based on experience, qualifications, and internal equity. The extensive benefits package reflects Honeywell's commitment to employee well-being and long-term engagement.

🎯 Team & Company Context

🏢 Company Culture

Industry: Aerospace & Defense, Technology. Honeywell Aerospace is a global leader in the aerospace industry, providing a wide range of products and services, including engines, avionics, and other critical systems for aircraft. Their work in AI is focused on enhancing these systems, improving operational efficiency, and developing next-generation aviation technologies.

Company Size: Honeywell is a large, multinational conglomerate with tens of thousands of employees worldwide. This scale offers stability, extensive resources, and opportunities for diverse career paths.

Founded: Honeywell was founded in 1906, bringing over a century of innovation and expertise, particularly in industrial controls and aerospace technologies.

Team Structure:

• The role reports to the AI Director, indicating a high level of strategic importance.

• The team likely comprises a blend of AI architects, data scientists, ML engineers, software developers, and UX/UI specialists, fostering a collaborative environment for complex AI projects.

Methodology:

• Data-Driven Decision Making: Emphasis on using data analysis to inform AI model development, UX design decisions, and overall product strategy.

• Agile Development: Projects are likely managed using Agile methodologies to ensure flexibility, rapid iteration, and continuous delivery of value.

• User-Centric Design: A strong focus on understanding user needs through research and testing to ensure AI solutions are not only powerful but also intuitive and effective in real-world applications.

Company Website: https://www.honeywell.com/us/en

📝 Enhancement Note: Working within a large, established company like Honeywell offers the opportunity to impact critical systems with cutting-edge AI technology. The culture likely balances rigorous engineering standards with a growing emphasis on innovation and user experience in AI.

📈 Career & Growth Analysis

Operations Career Level: This is a Senior-level role ("Sr AI UX and UI Developer"), signifying a high degree of autonomy, technical expertise, and the expectation to lead by example and mentor junior team members. The scope involves significant contributions to the design and implementation of complex AI interfaces.

Reporting Structure: The role reports directly to the AI Director, placing it at a strategic level within the AI development organization and ensuring visibility to leadership.

Operations Impact: The developer's work will directly influence the usability, effectiveness, and adoption of critical AI solutions within Honeywell Aerospace. This impact extends to improving operational efficiency, enhancing decision-making, and driving innovation in aviation technology, contributing directly to business outcomes and safety.

Growth Opportunities:

• Technical Specialization: Deepen expertise in AI/ML UX, GenAI interfaces, agentic systems, and advanced data visualization techniques.

• Leadership Development: Opportunities to mentor junior developers, lead design initiatives, and potentially transition into a Lead Developer or UX Architect role.

• Cross-Functional Exposure: Gain broad experience working with diverse engineering disciplines and business units across Honeywell Aerospace, understanding various operational challenges AI can solve.

• Industry Influence: Contribute to pioneering AI applications in the aerospace sector, potentially leading to industry recognition and thought leadership.

📝 Enhancement Note: This role offers a clear path for growth within a specialized and high-demand field. The direct reporting line to the AI Director suggests significant potential for career advancement and influence within Honeywell's AI initiatives.

🌐 Work Environment

Office Type: The role is hybrid, meaning it involves a mix of remote work and in-office collaboration. This structure aims to balance flexibility with the benefits of in-person teamwork and access to company resources.

Office Location(s): Phoenix, AZ or Charlotte, NC. These are significant operational hubs for Honeywell, offering a dynamic work environment with access to modern facilities and diverse teams.

Workspace Context:

• Collaborative Spaces: The office environment likely includes collaborative workspaces, meeting rooms equipped for hybrid interactions, and quiet zones for focused work, catering to various work styles.

• Technology & Tools: Access to high-performance computing resources, standard development tools, and potentially specialized AI/ML development environments.

• Team Interaction: Opportunities for direct interaction with AI architects, data scientists, ML engineers, and fellow developers, fostering knowledge sharing and problem-solving.

Work Schedule:

• The standard work schedule is 40 hours per week.

• The hybrid model offers flexibility, allowing for remote work days, but requires presence in the Phoenix or Charlotte office on designated days for team collaboration and strategic meetings.

📝 Enhancement Note: The hybrid work model at Honeywell Aerospace is designed to offer flexibility while maintaining the collaborative synergy essential for complex AI development projects. Candidates should be comfortable with a structured approach to in-office collaboration.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter will likely conduct an initial call to assess basic qualifications, interest, and cultural fit.

• Technical Interview(s): Expect one or more in-depth technical interviews focusing on React, JavaScript/TypeScript, UI/UX principles, data visualization (Tableau), and your experience with AI/ML interfaces. This may include live coding exercises or deep dives into your portfolio projects.

• Portfolio Presentation: A dedicated session where you will present and discuss your portfolio, highlighting specific projects relevant to AI/ML UX and front-end development. Be prepared to articulate your design process, technical choices, and the impact of your work.

• Behavioral & Situational Interviews: Questions assessing your problem-solving skills, teamwork, communication, and how you handle complex challenges, particularly in an AI development context.

• Hiring Manager Interview: A final discussion with the AI Director to assess overall fit, strategic thinking, and alignment with the team's vision.

Portfolio Review Tips:

• Curate for Relevance: Select 3-5 of your strongest projects that most closely align with the job description, emphasizing AI/ML interfaces, complex data visualization, and React development.

• Structure Your Narrative: For each project, clearly articulate the problem statement, your role and contributions, the design process, technical challenges and solutions, and the measurable impact or outcomes.

• Highlight AI/ML Specifics: If you have projects involving AI/ML, GenAI, or agentic systems, detail the unique challenges of designing for these technologies and how your solutions addressed them.

• Showcase Tableau Skills: If presenting data visualization projects, ensure they demonstrate clarity, effectiveness, and an understanding of user needs for data interpretation.

• Technical Depth: Be ready to discuss your code, architectural decisions, and the specific technologies used.

Challenge Preparation:

• Live Coding: Practice common front-end challenges involving React, JavaScript, and data manipulation.

• Design Scenarios: Prepare to discuss how you would approach designing an interface for a hypothetical AI feature (e.g., an agent that assists with troubleshooting, a GenAI tool for content creation).

• Data Visualization Problem: Be ready to discuss how you would visualize a specific type of AI output or system telemetry.

📝 Enhancement Note: The portfolio review is a critical component of the hiring process. Candidates should treat it as a presentation, clearly articulating their thought process and the tangible results of their work, especially concerning AI and data visualization.

🛠 Tools & Technology Stack

Primary Tools:

• Front-end Framework: React (core requirement).

• Languages: JavaScript, TypeScript (essential for modern development).

• Styling: CSS, SCSS (for responsive and themed interfaces).

• Data Visualization: Tableau (primary tool for dashboards and insights).

• AI/ML/GenAI/Agentic Systems: Experience with or understanding of how to integrate with backend services, RAG pipelines, agent orchestration engines.

Analytics & Reporting:

• Tableau: For creating interactive dashboards and reporting on AI model performance, system telemetry, and user engagement.

• Browser Developer Tools: For debugging, performance analysis, and inspecting UI elements.

• Potentially: Analytics platforms for user behavior tracking within the application.

CRM & Automation:

• While not a direct CRM role, understanding how front-end applications integrate with backend systems that might feed into or pull from CRM or data platforms is beneficial.

• API Integration: Proficiency with RESTful APIs and potentially GraphQL for seamless data flow.

• Version Control: Git (for code management and collaboration).

📝 Enhancement Note: Proficiency in React and Tableau are non-negotiable. The role also demands an understanding of how to interface with advanced AI backends, even if the primary development is on the front-end. Knowledge of Git is standard for any software development role.

👥 Team Culture & Values

Operations Values:

• Innovation: A drive to explore and implement cutting-edge AI technologies and UX patterns.

• Excellence: Commitment to high standards in code quality, design, performance, and user experience.

• Collaboration: A strong emphasis on teamwork, open communication, and cross-functional partnership to achieve shared goals.

• Data-Driven: Utilizing data and user feedback to inform design decisions and measure the success of AI solutions.

• User Focus: Prioritizing the needs and experience of the end-user in the design and development of AI tools.

Collaboration Style:

• Cross-Functional Integration: The team thrives on close collaboration between UX/UI developers, AI architects, data scientists, and ML engineers to ensure a cohesive and effective product.

• Iterative Feedback Loops: An environment where continuous feedback is encouraged, and design/development processes are iterative, incorporating input from various stakeholders.

• Knowledge Sharing: Active participation in sharing insights, best practices, and learnings, potentially through code reviews, design critiques, and internal presentations.

📝 Enhancement Note: Honeywell's culture likely balances large-corporation structure with a drive for innovation in specialized fields like AI. Expect a professional, results-oriented environment where collaboration and technical rigor are highly valued.

⚡ Challenges & Growth Opportunities

Challenges:

• Translating Complex AI: The primary challenge will be abstracting complex AI concepts (like agent reasoning chains or RAG context) into simple, intuitive user interfaces.

• Rapid AI Evolution: Keeping pace with the fast-evolving landscape of AI, particularly GenAI and agentic systems, and adapting designs accordingly.

• Balancing Performance & Features: Ensuring that feature-rich, AI-powered interfaces remain performant, responsive, and accessible across different devices and network conditions.

• Cross-Disciplinary Communication: Effectively communicating design intent and user needs to technical experts (AI/ML engineers) and understanding technical constraints.

Learning & Development Opportunities:

• Specialized AI/UX Training: Opportunities to attend workshops, conferences, or pursue certifications focused on AI/ML user experience, conversational AI, and agentic design.

• Exposure to Cutting-Edge AI: Working directly with advanced AI technologies and contributing to their application in the critical aerospace domain.

• Mentorship: Potential to be mentored by or mentor experienced AI architects and senior developers within Honeywell.

• Career Advancement: Clear pathways to senior technical leadership roles, or specialization in areas like AI ethics in UX, advanced visualization, or AI product strategy.

📝 Enhancement Note: This role is ideal for someone who thrives on tackling complex technical challenges and is eager to grow within the rapidly expanding field of AI development and user experience.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to design an interface for a complex, data-intensive system. What were the key challenges, and how did you address them?" (Focus on your process, problem-solving, and impact).

• "How would you approach visualizing an AI agent's reasoning process or the context it retrieved for a user?" (Demonstrate creative thinking and understanding of AI concepts).

Company & Culture Questions:

• "What interests you about working with AI at Honeywell Aerospace, specifically?" (Research Honeywell's aerospace applications and AI initiatives).

• "How do you stay updated on the latest trends in UI/UX design and AI development?" (Showcase your commitment to continuous learning).

Portfolio Presentation Strategy:

• Start with the "Why": Clearly articulate the business problem or user need your project addressed.

• Detail Your Role & Process: Explain your specific contributions and walk through your design and development methodology. Use visual aids effectively.

• Showcase Technical Solutions: Explain your choices in React, data handling, and how you integrated with any backend systems.

• Quantify Impact: Whenever possible, present metrics that demonstrate the success of your work (e.g., improved task completion time, increased user engagement, reduced errors).

• Anticipate Technical Questions: Be ready to answer detailed questions about your code, architectural patterns, and tool choices.

📝 Enhancement Note: Prepare specific examples that align with the job description's focus on AI, data visualization, and React. Be ready to speak fluently about both the design and technical aspects of your work.

📌 Application Steps

To apply for this Sr AI UX and UI Developer position:

• Submit your application through the Honeywell Aerospace careers portal via the provided link.

• Tailor Your Resume: Ensure your resume prominently features keywords like React, JavaScript, TypeScript, UI/UX Design, Tableau, Data Visualization, AI/ML interfaces, GenAI, and Agentic AI. Quantify achievements with specific metrics where possible.

• Curate Your Portfolio: Select and refine 3-5 key projects that best demonstrate your experience with AI/ML UX, complex data visualization (Tableau), and React development. Prepare a concise narrative for each, focusing on problem, solution, and impact.

• Prepare for Technical Interviews: Practice coding challenges in React and JavaScript. Review fundamental UI/UX principles and data visualization concepts. Be ready to discuss your portfolio projects in detail.

• Research Honeywell Aerospace: Understand their mission, key products, and any public information regarding their AI initiatives to tailor your responses and demonstrate genuine interest.

⚠️ 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.