AI Engineering

In practical terms, AI Engineering refers to the engineering discipline of building production AI systems by combining models with data pipelines, software, infrastructure, evaluation, monitoring, security, and integrations. It matters because organizations need clear technical and operational boundaries around AI before they can use it reliably at scale. Related concepts often include governance, integration, monitoring, evaluation, and human oversight.