AI Platform Architect
PwC Canada — Bucharest
Posted 2026-09-23
Job Description & Summary The opportunity Design and evolve the reusable platform capabilities required to build, deploy, secure, observe and scale AI products across hybrid environments. What you will be doing · Define reference platforms, environment topology, network patterns, identity, secrets and access controls. · Design model access, compute, storage, vector services, orchestration, gateways and shared platform services. · Support cloud, sovereign, edge and on-premises deployment choices where client constraints require them. · Define platform non-functional requirements for availability, performance, resilience, scalability and cost. · Create reusable landing patterns, templates and platform guardrails for delivery squads. · Partner with the MLOps Engineer on environment automation, observability and release management. What we need from you · 8+ years in cloud platforms, infrastructure, platform engineering or architecture. · Deep understanding of containers, Kubernetes, networking, identity, automation, data services and AI runtimes. · Experience with at least one major cloud platform and hybrid integration patterns. · Strong Infrastructure as Code, DevSecOps and platform