Principal Architect

Wayve Wayve · Robotics · London, United Kingdom · Product & Delivery

Principal Architect to define and drive the architecture of the AI Portal Platform, an enterprise-grade, cloud-native, multi-tenant SaaS platform for scaling to multiple OEM customers. This role involves hands-on leadership in defining scalable architectures for data pipelines, microservices, workflow orchestration, and security, supporting AI training and fleet operations.

What you'd actually do

  1. Define and own the architecture of the AI Portal Platform — a cloud-native, multi-tenant SaaS platform — ensuring scalability, resilience, security, and maintainability for enterprise-grade OEM deployments
  2. Drive architectural decisions across microservices, multi-tenancy, IAM, workflow orchestration, APIs, and large-scale data transfer pipelines
  3. Define scalable architectures for high-volume data ingestion, transfer, storage, and processing to support AI training, validation, and OEM fleet operations
  4. Define and enforce platform-wide Non-Functional Requirements (NFRs), including scalability, availability, observability, disaster recovery, operational supportability, performance, and cost efficiency
  5. Lead security and compliance architecture aligned with enterprise and automotive standards, including secure-by-design principles, GDPR, ISO 27001, and auditability requirements

Skills

Required

  • Proven experience as a principal engineer or architect on a greenfield SaaS product, ideally taken from MVP to production scale
  • Strong background in multi-tenant microservices architecture
  • Hands-on experience with workflow engines (e.g., Temporal or equivalent)
  • Experience with make vs. buy decision-making at an architectural level
  • Comfortable working in mixed-mode environments (in-house teams + contractors)
  • Excellent communication and influencing skills — able to align technical and non-technical stakeholders
  • Experience working in a fast-paced, early-stage or scale-up environment

Nice to have

  • Experience with data platform architecture (not a core requirement, but a plus)
  • Familiarity with OEM or automotive industry processes (e.g., A-SPICE, TISAX)
  • Experience with AI-powered tooling or integrations (Jira, Slack, Notion, etc.)

What the JD emphasized

  • greenfield SaaS product
  • multi-tenant microservices architecture
  • workflow engines
  • make vs. buy decision-making
  • enterprise and automotive standards
  • GDPR
  • ISO 27001