Experience Architect, Transportation

Autodesk Autodesk · Enterprise · Toronto, ON +3 · Remote

Autodesk is seeking an Experience Architect to lead experience design for infrastructure and transportation workflows. This role involves shaping how infrastructure design workflows function across products, platforms, and services, with a focus on complex, cross-product workflows. The architect will partner with senior leadership, apply front-end and data-model fluency, and influence roadmaps. A key responsibility is guiding the integration of AI into infrastructure workflows to augment engineering judgment and decision-making.

What you'd actually do

  1. Own experience architecture for infrastructure and transportation workflows across products and platforms
  2. Partner with senior UX, Product, and Engineering leaders on infrastructure strategy and prioritization
  3. Frame complex, cross-product problems in ways that support sound organizational and technical decisions
  4. Apply front-end and data-model expertise to ensure experience strategy is feasible, scalable, and durable
  5. Guide integration of AI into infrastructure workflows in ways that augment engineering decision-making

Skills

Required

  • UX or experience design for complex, technical systems
  • large-scale, cross-product or platform initiatives
  • infrastructure, civil engineering, or similarly complex domains
  • front-end architecture
  • data models
  • API-driven systems
  • influence strategy, prioritization, and decisions without formal authority
  • operate effectively in ambiguous, high-stakes problem spaces

Nice to have

  • transportation or civil engineering software and workflows
  • AutoCAD, Civil 3D, ReCap, Forma, Revit, or similar platforms
  • designing interoperability-heavy, data-driven, or AI-assisted systems
  • collaborating with engineering on architecture, performance, and scalability
  • mentoring senior designers and shaping experience practice at scale

What the JD emphasized

  • continuity of intent and data is critical
  • deep collaboration with Engineering and Platform teams
  • strong front-end and data-model fluency
  • experience strategy is grounded in how systems actually work
  • operate with a high degree of independence and authority
  • AI strategy

Other signals

  • AI integration into workflows
  • Augmenting engineering decision-making
  • AI-assisted systems