AI Platform Engineer

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Platform Engineer based in Germany. This role offers the opportunity to design and build the foundation of an AI-native operating environment used across a global organization. You will create scalable infrastructure that enables intelligent agents to operate reliably, securely, and transparently. The position combines advanced AI engineering, platform development, governance, and automation to solve complex operational challenges. You will own the architecture, execution layer, evaluation systems, and tooling required to make AI workflows trustworthy. Working in a fully remote and highly autonomous environment, you will influence how teams adopt and benefit from AI at scale. This opportunity is ideal for an engineer who enjoys building foundational systems, solving open-ended problems, and shaping the future of AI-powered work. Accountabilities The AI Platform Engineer will be responsible for building and operating the infrastructure that enables reliable, measurable, and governed AI systems across the organization. Design, build, and maintain the AI execution platform, including event-triggered workflows, model-agnostic runtimes, durable state management, human review processes, rollback mechanisms, and comprehensive run logging. Own the architecture decisions required to bring AI agent systems into production and ensure the platform operates reliably at scale. Develop the evaluation layer that determines whether AI systems are safe, accurate, and ready for production use. Create golden test suites, behavioral evaluations, safety checks, and CI gates that prevent unreliable AI capabilities from being deployed. Build and manage a portfolio of AI agents supporting business workflows such as reporting, drafting, analysis, triage, and knowledge management. Develop meta-level systems that monitor agent performance, identify improvements, and continuously enhance the platform. Implement governance mechanisms directly into the platform, including risk tiers, least-privilege permissions, tool access controls, audit logging, and human approval workflows. Ensure high-risk AI actions are technically restricted through system design rather than relying only on policies or prompts. Design responsible communication systems that optimize…