UX Designer and AI Strategist

📍 Job Overview

Job Title: UX Designer and AI Strategist

Company: Motorola Solutions

Location: Plantation, FL, United States (with potential for Chicago, IL)

Job Type: Full time

Category: User Experience Design & AI Strategy

Date Posted: 2026-07-29

Experience Level: Experienced (6+ years)

Remote Status: On-site

🚀 Role Summary

• Spearhead the integration of Artificial Intelligence (AI) into user experiences, championing a user-centered approach throughout the AI development lifecycle.

• Collaborate closely with multidisciplinary teams, including Industrial Designers, UX/CX Designers, User Researchers, Human Factors practitioners, data scientists, and engineers, to conceptualize and deliver innovative AI-driven solutions.

• Identify and translate opportunities for leveraging AI (Machine Learning, Natural Language Processing, Generative AI) to solve complex user problems and create novel, delightful user experiences.

• Design, research, and evaluate intuitive, transparent, and trustworthy user interactions with AI-powered features and systems, ensuring ethical considerations are paramount.

• Contribute to the organizational development of best practices, ethical guidelines, and design patterns specifically for Human-AI interaction.

📝 Enhancement Note: This role is uniquely positioned at the nexus of UX design and AI strategy, requiring candidates to possess a strong conceptual understanding of AI technologies and their application in creating tangible user benefits, rather than deep technical development skills. The emphasis is on strategic thinking, design execution, and user advocacy within an AI-driven innovation context.

📈 Primary Responsibilities

• Adapt to rapidly shifting priorities and contribute to an agile, fast-paced innovation environment, embracing dynamic project needs.

• Champion a user-centered approach in the development and application of AI technologies, ensuring user needs are at the forefront of AI-driven product development.

• Demonstrate compelling storytelling skills, a command of design thinking principles, and best practices in communicating AI concepts and user experience strategies.

• Identify opportunities to leverage AI (ML, NLP, generative AI) to solve user problems and create novel, delightful, and valuable user experiences.

• Collaborate effectively with product managers, engineers, and other stakeholders to translate AI capabilities into tangible user benefits and detailed design requirements.

• Design and/or research user interactions with AI-powered features and systems, ensuring they are intuitive, transparent, and trustworthy, fostering user confidence.

• Contribute to the development of organizational best practices, ethical guidelines, and design patterns for Human-AI interaction, setting standards for responsible AI implementation.

• Stay abreast of the latest advancements in AI and their potential applications in experience design and market fit, ensuring Motorola Solutions remains at the cutting edge.

• Effectively communicate findings, design concepts, and AI possibilities to diverse audiences, including technical and non-technical stakeholders, through compelling presentations and documentation.

📝 Enhancement Note: The core responsibilities highlight a dual focus: strategic AI application and hands-on UX design. The role requires not only conceptualizing how AI can enhance user experiences but also actively participating in the design and evaluation phases. The emphasis on adaptability and communication is critical given the fast-evolving nature of AI and the need for cross-functional alignment.

🎓 Skills & Qualifications

Education: Bachelor's or Master's degree in Human-Computer Interaction (HCI), Design, or a related field, or equivalent practical experience.

Experience: 6+ years of proven experience in design, encompassing areas such as UX, CX, Interaction Design, or Product Design.

Required Skills:

• AI Literacy: A strong conceptual understanding of core Artificial Intelligence concepts, including Machine Learning (ML), Natural Language Processing (NLP), and Generative AI – their capabilities, limitations, and ethical considerations. (Note: not requiring AI development expertise, but conceptual understanding).

• Problem Solver: Excellent analytical and critical thinking skills, with a knack for identifying user needs and framing them as actionable design or research challenges.

• User-Centric Mindset: A deep passion for understanding and advocating for the user throughout the entire product development lifecycle.

• Collaboration & Communication: Exceptional ability to collaborate effectively within a multidisciplinary team and articulate complex ideas clearly (verbally and visually) to diverse stakeholders.

• Adaptability & Continuous Learning: Eagerness to learn new technologies and methodologies, particularly in the rapidly evolving AI space, and the ability to thrive in an environment with dynamic priorities.

• Design Thinking Principles: Demonstrated application of design thinking methodologies to solve complex problems and drive innovation.

• Storytelling: Compelling ability to articulate design rationale, user insights, and AI-driven solutions through engaging narratives.

Preferred Skills:

• Human-AI Interaction Design: Experience crafting intuitive and engaging interactions for AI-powered solutions (e.g., conversational UIs, recommendation engines, generative content tools).

• End-to-End AI Design Process: Experience in the complete AI design lifecycle, from defining user needs to creating prototypes and detailed specifications for AI features.

• AI-Powered Prototyping & Visualization: Proficiency in using AI tools to rapidly prototype experiences or visualize complex AI-driven data for users.

• Designing for AI Transparency & Explainability: Experience creating interfaces that help users understand and trust AI-driven decisions and outputs.

• Data-Informed Design for AI: Proven ability to utilize user data, AI metrics, and research to inform the design and improvement of AI outcomes.

• Ethical AI Design: Proactive identification and mitigation of bias and ethical concerns in the design of AI-powered experiences.

• Speculative & Future-State Design: Experience exploring novel applications of emerging AI to envision future user experiences.

• Holistic AI Experience Evaluation: Experience in assessing the overall AI user experience, including perceived intelligence, usefulness, reliability, and how errors, uncertainty, failures, and edge cases are managed and communicated.

• AI-Augmented Methodologies: Leveraging AI tools for qualitative data analysis (e.g., thematic analysis of interviews, open-ended surveys), sentiment analysis, or identifying patterns in large user datasets.

• Evaluating Experiences with AI-Powered Features: Developing methods to assess the usability, utility, and implications of AI in user-facing applications.

• Generative Synthesis with AI: Using AI to assist in synthesizing data to uncover insights and opportunities for AI application.

• AI and Customer Experience: Understanding AI-driven opportunities to inform proactive CX strategies.

• Multimodal Interaction Design: Experience designing for interactions that involve multiple modes of communication (e.g., voice, touch, gesture).

• Demonstrable experience in AI assisted workflows and/or multimodal interaction design.

📝 Enhancement Note: The distinction between required and preferred skills is critical. While AI literacy is mandatory, specialized experience in specific AI design applications (like transparency, ethical design, or AI-augmented methodologies) elevates a candidate. The portfolio requirement for demonstrating AI-assisted workflows or multimodal interaction design is a key differentiator.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A portfolio showcasing exceptional UX design for applications and services that demonstrates your design process, core skills, and tangible impact.

• The portfolio should clearly illustrate a mastery of UX craft, including problem definition, user research, ideation, wireframing, prototyping, and user testing.

• Evidence of the ability to drive complex projects from conception to completion, highlighting your role and contributions.

• Demonstrable experience in AI-assisted workflows and/or multimodal interaction design should be prominently featured.

• Case studies that detail how you've leveraged AI conceptually to solve user problems or enhance existing experiences. Process Documentation:

• For each portfolio project, clearly articulate the design process followed, emphasizing the user-centered methodology and any AI integration steps.

• Detail how user needs were identified and translated into design requirements, including any AI-specific user research conducted.

• Showcase the iterative nature of the design process, including how feedback and data (including AI-generated insights if applicable) were incorporated.

• Explain the rationale behind design decisions, particularly those influenced by AI capabilities or limitations.

• Document the evaluation methods used to assess the effectiveness and user experience of AI-powered features.

📝 Enhancement Note: The portfolio is paramount for this role, not just for showcasing UX skills but specifically for demonstrating the candidate's ability to think strategically about AI integration. Projects that highlight AI-assisted workflows or explore Human-AI interaction are highly valued and should be presented with a clear narrative of process and impact.

💵 Compensation & Benefits

Salary Range: $82,700 - $109,400 USD per year.

Explanation of Range: This target base salary range is provided for the specified locations (Plantation, FL and potentially Chicago, IL) and experience level (6+ years). Compensation within this range will be determined by factors such as the candidate's job-related knowledge, skills, experience, and demonstrated impact, consistent with Motorola Solutions' compensation philosophy and applicable laws.

Benefits:

• Incentive Bonus Plans: Opportunity for performance-based bonuses.

• Medical, Dental, Vision benefits: Comprehensive health coverage options.

• 401K with Company Match: Retirement savings plan with employer contributions.

• 10 Paid Holidays: Standard federal holidays observed.

• Generous Paid Time Off Packages: Ample leave for vacation, personal time, and sick days.

• Employee Stock Purchase Plan: Opportunity to purchase Motorola Solutions stock at a discounted rate.

• Paid Parental & Family Leave: Support for new parents and family needs.

• And more: Additional benefits may be available.

Working Hours: 40 hours per week, typically aligned with standard business hours for on-site roles. Flexibility may be available based on team needs and project demands, but the role is fundamentally on-site.

📝 Enhancement Note: The salary range is provided, but Motorola Solutions emphasizes that the final offer is individualized. The benefits package is robust and typical for a large, established technology company, with specific mention of incentive plans and an employee stock purchase plan, which are attractive to experienced professionals.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology (specifically focused on public safety, enterprise security, and communication solutions). Motorola Solutions is a leader in providing mission-critical communications and security technologies.

Company Size: Large enterprise (Motorola Solutions is a global company with a significant employee base). This implies structured processes, opportunities for broad impact, and a diverse talent pool.

Founded: Motorola Solutions has a long history, evolving from its origins in radio and electronics. This heritage suggests a culture of innovation and adaptation, with deep expertise in its core markets.

Team Structure:

• The Department Overview describes a multidisciplinary team comprising Industrial Designers, UX/CX Designers, User Researchers, and Human Factors practitioners. This indicates a collaborative environment where diverse design perspectives are valued.

• The role will involve close collaboration with data scientists and engineers, highlighting cross-functional integration.

• The reporting structure is likely within a dedicated UX/Design or Product Innovation group, focused on enhancing user and customer experiences. Methodology:

• User-Centered Design: This is a foundational principle, with the team dedicated to understanding user needs and translating them into impactful products and services.

• AI Integration: The team is actively embracing AI, seeking to leverage its potential to redefine user experiences and drive industry leadership.

• Agile & Fast-Paced Innovation: The environment is described as agile, requiring adaptability and a quick response to evolving priorities and technological advancements.

• Data-Informed Design: The use of data, AI metrics, and research is integral to informing design decisions and improving AI outcomes.

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

📝 Enhancement Note: Motorola Solutions operates in a critical sector, emphasizing safety and security. This context likely shapes a culture that values reliability, precision, and impactful innovation. The design team's focus on user experience within this domain means their work directly contributes to the effectiveness and usability of essential technologies.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as an "Experienced" professional, requiring 6+ years of design experience. It's not an entry-level position but sits firmly in the mid-to-senior career bracket, with potential for specialization and leadership within the AI-UX domain.

Reporting Structure: While not explicitly stated, the role would likely report to a Design Lead, Manager of UX/CX, or a Director of Product Design/Innovation within the relevant department. Collaboration will be cross-functional, involving product management, engineering, and data science.

Operations Impact: The impact of this role is significant and direct. By integrating AI into user experiences, the UX Designer and AI Strategist will:

• Enhance the usability, intuitiveness, and effectiveness of Motorola Solutions' products and services, particularly those leveraging AI.

• Contribute to competitive differentiation by creating novel, AI-powered user experiences.

• Drive user adoption and satisfaction, indirectly impacting customer retention and revenue.

• Influence the strategic direction of AI development within the company, ensuring it aligns with user needs and ethical considerations.

• Help Motorola Solutions maintain its leadership position in the market through AI-powered innovation. Growth Opportunities:

• Specialization in Human-AI Interaction: Deepen expertise in designing for complex AI systems, becoming a go-to expert in this niche.

• Leadership in AI Design Strategy: Progress into roles where you define AI design strategies, lead design initiatives, and mentor junior designers in AI-focused projects.

• Cross-functional Influence: Expand influence across product management, engineering, and data science teams, shaping the broader AI roadmap.

• Innovation & Research: Contribute to speculative design projects exploring future applications of AI, potentially leading to patentable innovations.

• Skill Expansion: Continuously learn and adapt to emerging AI technologies and UX methodologies, keeping skills sharp in a rapidly evolving field.

📝 Enhancement Note: The role offers a clear pathway for growth within a specialized, high-demand area. The emphasis on AI strategy suggests opportunities to move beyond pure design execution into strategic planning and thought leadership within the company's innovation efforts.

🌐 Work Environment

Office Type: On-site role, indicating a traditional office environment within Motorola Solutions' facilities in Plantation, FL, or Chicago, IL. This suggests a structured workspace designed for collaboration and focus.

Office Location(s): Plantation, FL (primary) and Chicago, IL. Candidates should be prepared to work from one of these locations. Access to these offices would typically involve standard business hours and proximity to urban amenities.

Workspace Context:

• Collaborative Environment: Expect a dynamic workspace where interaction with colleagues—fellow designers, researchers, product managers, engineers, and data scientists—is frequent and encouraged.

• Tools and Technology: Access to industry-standard design software, prototyping tools, and potentially AI-specific development or visualization platforms will be available. The company will likely provide the necessary hardware and software.

• Team Interaction: Opportunities for daily interaction, brainstorming sessions, design critiques, and project reviews with the multidisciplinary design and innovation teams.

Work Schedule: The role is full-time, with standard working hours expected to be around 40 hours per week. While the role is on-site, there might be some flexibility for project needs, but it is not a remote position. The focus will be on efficient work within the office setting to drive innovation and collaboration.

📝 Enhancement Note: The on-site requirement suggests a preference for in-person collaboration, which is often beneficial for complex