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Design System Architect
Talent Software Services, IncNewington, CT🇺🇸United StatesPosted 17 Aug 2026
Quick Overview
Work Type
Remote
Level
Mid Senior
Job Description
Title: Design System Architect
Duration: 6 months
Location: Remote
Overview
A UX/CX Design Architect is responsible for bridging the gap between user experience (UX), customer experience (CX), business strategy, and technology. Unlike standard designers who focus on a single screen or product, an architect designs the comprehensive ecosystem, framework, and strategy that governs how a customer interacts with a brand across every physical and digital touchpoint.
Key Responsibilities
AI Strategy & Solution Architecture
Experience & Ecosystem Architecture
- Cross-Channel Strategy: Map complete customer lifecycles across web, mobile, physical spaces, and support channels.
- Ecosystem Blueprinting: Create macro-level user workflows, service blueprints, and structural ecosystem models.
- Journey Mapping: Visualize complex user touchpoints to eliminate system friction and operational silos.
- North Star Vision: Define the long-term interaction vision and align product teams around future-state experiences.
Generative & Multi-Modal Interaction Architecture
- Intent-Based Design: Transition system navigation away from static tabs to dynamic interfaces that adapt instantly based on natural language or context.
- Multi-Modal Workflows: Map seamless experiences across voice, text, gesture, and computer vision touchpoints.
- Proactive Experience Frameworks: Define how systems anticipate customer needs through predictive analytics without feeling invasive.
Governance, Scale, and DesignOps
- Design Systems: Architect scalable component libraries, tokens, and framework patterns for cross-platform consistency.
- Design Operations: Standardize methodologies, research practices, and collaboration tools across decentralized teams.
- Dynamic Design Systems: Build design system tokens and component libraries that can scale across fluid, AI-generated layouts and variable text lengths.
- Agentic Workflows: Map blueprints for multi-agent systems, detailing how independent AI agents hand off tasks to one another and back to human agents.
- Experience Quality: Establish UX/CX quality metrics (KPIs) to audit products for usability and performance.
- Accessibility Leadership: Ensure all architectural frameworks comply with global accessibility standards (WCAG).
Research Synthesis & Business Alignment
- Data-Driven Insights: Translate complex user research data into practical, actionable structural frameworks.
- Behavioral Personas: Build dynamic user personas based on quantitative metrics and qualitative behavioral studies.
- Stakeholder Advocacy: Champion customer centricity to executive leadership using ROI, retention, and satisfaction metrics.
- Tech Feasibility: Partner with Enterprise Architects and Engineers to align design visions with technical realities.
Required Skills and Qualifications
AI & Technical Mastery
- Cognitive UX & IA: Mastery of information architecture suited for unstructured data and large-scale semantic vector spaces.
- Prompt & Context Engineering UX: Deep understanding of how context windows, prompt formatting, and retrieval-augmented generation (RAG) impact the speed and presentation of UI text.
- Familiarity with AI Tech: Strong working comprehension of LLMs, neural networks, computer vision, and API constraints.
Leadership & Soft Skills
- Systems Thinking: Ability to map unpredictable, non-linear user journeys where the system output changes with every prompt.
- Ambiguity Management: Comfort in designing for emerging paradigms where standard, established design patterns do not yet exist.
- Ethical Framework Facilitation: Experience leading workshops centered around bias mitigation and inclusive AI design.
- Information Architecture: Deep mastery of data structuring, content modeling, and complex navigational taxonomy.
- Service Design: Proven capability in modeling back-end operational workflows that power front-end user experiences.
Job Location: Work At Home
Skills
Linear
Computer Vision
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