Sr AI UX and UI Developer

Honeywell•Phoenix, AZ

9h•Hybrid

About The Position

As a Sr UX and UI Developer here at Honeywell, you will play a crucial role in designing and implementing advanced data solutions for AI solutions that drive business insights, enhance decision-making processes and empower AI solutions. Your expertise will help in critical AI development activities across all AI modalities (classic, Gen and agentic) and data types (structured and unstructured). You will report directly to our AI Director and you’ll work out of our Phoenix, AZ or Charlotte, NC location on a hybrid work schedule.

Requirements

5 or more years of professional UI/UX or front-end development experience.
Strong proficiency with React , modern JavaScript/TypeScript, and component-driven architecture.
Experience developing data-driven UIs connected to APIs, microservices, or ML/AI backend services.
Hands-on experience building dashboards or interactive data visualizations, preferably with Tableau .
Experience implementing modern UX methodologies including prototyping, wireframing, user testing, and iterative design.
Strong understanding of UX principles for AI-driven applications—explainability, transparency, task success, and user trust.
Ability to translate abstract technical concepts into intuitive and visually engaging user experiences.
Solid knowledge of CSS/SCSS, state management patterns, and front-end build tools.
Ability to collaborate in cross-functional, agile teams working alongside data science, engineering, and product stakeholders.

Nice To Haves

Experience designing interfaces for agentic AI systems , including: Multi-agent workflows Tool/action invocation visualizations Reasoning chain introspection (“Why did the agent do this?”) Human-in-the-loop decision gates Memory timeline or context trace displays
Familiarity with GenAI interaction patterns: conversational UI, RAG context previews, LLM evaluator visibility, and model confidence visualizations.
Experience integrating with Databricks or Dataiku outputs for dashboards, insights, and workflow visualization.
Understanding of ML and AI concepts such as features, embeddings, inference results, evaluations, and quality metrics.
Experience with accessibility, internationalization, and responsive design for enterprise‑grade applications.
Proficiency with design tools such as Figma, Sketch, or Adobe XD.
Curiosity and passion for shaping the future of AI user experience , especially for autonomous and semi-autonomous agentic systems.

Responsibilities

Design and develop intuitive, performant, and scalable user interfaces for AI-powered applications , spanning classic ML insights, GenAI experiences, and emerging agentic AI interfaces .
Build modern front-end applications using React , integrating with backend AI services, RAG pipelines, agent orchestration engines, and data APIs.
Design and implement 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 dashboards using Tableau to present model outputs, system telemetry, quality metrics, and user-facing insights.
Translate complex AI concepts—model predictions, confidence scores, agent reasoning chains, 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 aligned with backend AI capabilities.
Conduct user research, usability testing, and iterative design cycles to refine interface behavior, accessibility, and task success rates.
Create reusable design components, UI style guides, and UX standards for AI-driven applications across multiple business domains.
Ensure high standards of code quality, performance, security, accessibility, and responsiveness across devices.