AI Platform Engineer based in Belgium to design and operate the foundation of an AI-native operating environment used across a global organization. This role involves creating scalable infrastructure that enables AI agents to operate reliably, securely, and transparently, while owning the architecture, execution layer, evaluation systems, and tooling required to make AI workflows trustworthy. The position combines advanced AI engineering, platform development, governance, and automation to solve complex operational challenges. Working in a fully remote, autonomous environment, you will influence how teams adopt and benefit from AI at scale.

Responsibilities include designing and operating the AI execution platform (event-triggered workflows, model-agnostic runtimes, durable state management, human review processes, rollback mechanisms, and comprehensive run logging); owning architecture decisions to productionize AI agent systems; developing the evaluation layer for safety and production readiness; creating golden test suites, behavioral evaluations, safety checks, and CI gates; building and managing a portfolio of AI agents supporting business workflows; developing meta-level systems to monitor performance and drive improvements; implementing governance mechanisms with risk tiers, least-privilege permissions, audit logging, and human approval workflows; ensuring high-risk AI actions are restricted through design; building platform tooling and data pipelines to measure adoption, impact, ROI; instrument AI workflows to track usage, efficiency, costs, and business value; and

AI Platform Engineer based in Belgium to design and operate the foundation of an AI-native operating environment used across a global organization. This role involves creating scalable infrastructure that enables AI agents to operate reliably, securely, and transparently, while owning the architecture, execution layer, evaluation systems, and tooling required to make AI workflows trustworthy. The position combines advanced AI engineering, platform development, governance, and automation to solve complex operational challenges. Working in a fully remote, autonomous environment, you will influence how teams adopt and benefit from AI at scale.

Responsibilities include designing and operating the AI execution platform (event-triggered workflows, model-agnostic runtimes, durable state management, human review processes, rollback mechanisms, and comprehensive run logging); owning architecture decisions to productionize AI agent systems; developing the evaluation layer for safety and production readiness; creating golden test suites, behavioral evaluations, safety checks, and CI gates; building and managing a portfolio of AI agents supporting business workflows; developing meta-level systems to monitor performance and drive improvements; implementing governance mechanisms with risk tiers, least-privilege permissions, audit logging, and human approval workflows; ensuring high-risk AI actions are restricted through design; building platform tooling and data pipelines to measure adoption, impact, ROI; instrument AI workflows to track usage, efficiency, costs, and business value; and