Platform Engineer, AI Enablement

As a Platform Engineer on Wayve’s AI Enablement team, you design and operate production-grade infrastructure for model access, agent runtimes, and observability. You partner with security, IT, and engineering to define standards and empower teams to build AI-powered tools safely and cost-effectively. You shape reusable patterns and tooling that scale across the organization, while maintaining governance and safety controls. This role offers hands-on impact in a fast-moving, ownership-driven context.

• hybrid working
• relocation support and visa sponsorship
• learning and development budgets
• health insurance
• dental
• enhanced maternity and paternity leave

• Design, build, and operate a governed access layer for language models (routing, authentication, cost controls, auditability)
• Provide secure infrastructure and reusable tooling for running agentic workflows in production
• Develop and maintain observability for usage, cost, reliability, and performance
• Implement governance and safety controls to ensure secure, compliant, auditable AI use
• Create shared primitives, standards, and best practices to avoid bespoke infra
• Support scalable deployments using cloud, Kubernetes, and infrastructure-as-code

• Strong software engineering experience building APIs, services, or developer tooling
• Experience building or operating platforms and infrastructure used by other teams
• Hands-on experience with cloud infrastructure, Kubernetes, and infrastructure-as-code
• Familiarity with LLM APIs and ecosystem (model gateways, agent frameworks, MCP, or RAG)
• Understanding of production observability (metrics, tracing, logging)
• Security-conscious approach to authentication, authorization, governance, and auditability
• Ability to own initiatives in a fast-moving environment and communicate via documentation and collaboration

• strong communication
• ownership
• collaboration
• cloud infrastructure
• Kubernetes
• infrastructure-as-code