AI Platform Engineer based in France is sought by a partner company to design and operate the foundation of an AI-native operating environment used across a global organization. You will 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 production-ready, and create golden test suites, behavioral evaluations, safety checks, and CI gates. 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. Design responsible communication systems that optimize notifications, minimize interruptions, and increase user trust and adoption. Build platform tooling, including validators, compilers, context distribution systems, and integrations across repositories and collaboration environments. Create data pipelines and reporting systems that measure AI

AI Platform Engineer based in France is sought by a partner company to design and operate the foundation of an AI-native operating environment used across a global organization. You will 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 production-ready, and create golden test suites, behavioral evaluations, safety checks, and CI gates. 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. Design responsible communication systems that optimize notifications, minimize interruptions, and increase user trust and adoption. Build platform tooling, including validators, compilers, context distribution systems, and integrations across repositories and collaboration environments. Create data pipelines and reporting systems that measure AI