MLOps / AI Operations Engineer
PwC Canada — Bucharest
Posted 2026-09-23
Job Description & Summary The opportunity Industrialize AI delivery through automated deployment, evaluation operations, observability, reliability engineering and transparent consumption management. What you will be doing · Build CI/CD pipelines for AI services, prompts, agent configurations, infrastructure and evaluation assets. · Automate environment provisioning, testing, deployment, rollback and release evidence. · Implement tracing, logging, model and agent monitoring, alerts and operational dashboards. · Operationalize evaluation thresholds, incident handling and continuous-improvement loops. · Monitor latency, capacity, token usage, infrastructure consumption and cost drivers. · Define runbooks, service ownership and production support handover. What we need from you · 4+ years in DevOps, platform engineering, ML engineering, SRE or cloud operations. · Strong automation, containers, cloud services, observability and Infrastructure as Code capability. · Experience deploying or operating ML, generative AI or distributed application workloads. · Understanding of release controls, reliability, security and cost optimization. Relevant AI technologies and tooling · Hands-on exper