AI Platform Engineer

Operate, monitor, and continuously improve an enterprise AI-powered document search and Q&A platform deployed on Azure as part of a global Data Science team. Maintain and extend three containerized services (FastAPI backend, Streamlit frontend, APScheduler-based document processing worker). Manage Azure infrastructure using Terraform (App Service, Azure AI Search, Azure OpenAI deployments, Blob Storage, PostgreSQL, Redis, Key Vault). Build and maintain CI/CD pipelines in GitHub Actions for automated container builds, infrastructure deployments, LLM evaluation runs, and release management. Onboard new AI use cases and provisioning workflows from configuration to Azure resource creation. Develop and operate document scraping and processing pipelines ingesting content from SharePoint, internal wikis, and web portals into Azure AI Search. Support LLM quality assurance via automated evaluation pipelines and observability tooling. Collaborate with Data Scientists to integrate new models and agents into the platform's agentic query pipeline.