AI-Native UX Designer
Motorola Solutions
- Location
- Krakow, Poland
- Work model
- On-Site
- Level
- Mid
- H-1B history
- 64 approvals (FY2023)
- Posted
- Aug 24, 2026
About this role
Company Overview At Motorola Solutions, we believe that everything starts with our people. We’re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that’s critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future. Department Overview Are you passionate about creating products with real-world impact? Do you believe that comprehensive, user-centric design can address the complex challenges facing public safety today? At Motorola Solutions, we seek to innovate in our ongoing pursuit of solving for safer. We develop truly essential, professional tools - from emergency call-taking and dispatch systems to video security solutions, first responder applications and tools for investigation. Join our diverse, AI-forward, multidisciplinary design team and find work partners looking to collaborate and blur the boundaries of traditional design.
Job Description
As an AI-Native UX Designer at Motorola Solutions, you will drive two mandates at once: design world-class experiences for mission-critical public safety products and help change how our global UX team designs them. You will collaborate with product managers, developers, data scientists, subject matter experts, and other members of the global UX team to design the next generation of public safety applications, enabling a design-led product development process rooted in human-centered, persona-driven methodologies while integrating AI-assisted techniques into your daily workflow. We are looking for a skilled designer with a proven record of shipping intuitive, end-to-end solutions for complex systems. Beyond core craft, you are an early adopter who works non-linearly - running parallel explorations, prototyping early, and leveraging AI tools to quickly validate ideas. You challenge traditional design paradigms without compromising quality by proving new methods on real products, sharing insights globally, adopting effective tools, and retiring outdated ones. Because our products support first responders in critical moments, you will apply AI design methods with clear intent: knowing when to automate, when to keep a human in the loop, and how to design for trust in systems that behave probabilistically.
Basic Requirements
Responsibilities Include AI-Forward Prototyping & Execution: Use modern design tools, AI, and rapid prototyping workflows to quickly build testable artifacts, including wireframes, system flows, and interactive or code-based prototypes, that clearly communicate design intent. Process Modernization & Tool Evaluation: Run structured, time-boxed experiments with emerging AI tools and methods on real product work; recommend what the global UX team should adopt, standardize, or retire, and help integrate the winners into daily workflows to drive speed and operational consistency. Innovate & Validate: Define "North Star" product visions for intelligent systems through collaboration with researchers to validate human-AI interaction patterns and conduct rigorous usability testing for mission-critical scenarios.
Basic Requirements
Proven track record delivering comprehensive, intuitive, end-to-end solutions for complex systems, demonstrated through a portfolio. Demonstrated fluency in integrating modern AI tools (e.g., generative ideation, prompt-assisted design, AI plugins, automated workflows, or AI prototyping) into your process to accelerate discovery, iteration, and execution. Be prepared to walk through your workflow and toolset, not just final artifacts. Ability to articulate the rationale behind design decisions, especially as they pertain to human-in-the-loop interactions, automation boundaries, and data-driven features. A challenger's mindset paired with