Establish interoperability, integration, and architectural governance across scientific instruments, informatics platforms, laboratory automation systems, robotics, data layers, AI agents, software platforms, and external partner technologies, ensuring coherence across complex mixed-vendor ecosystems. The essential requirements of the job include: Advanced degree in Systems Engineering, Computer Science, Robotics, Physical Sciences, Life Sciences, or a related field, with 7+ years of experience in systems architecture, digital labs, laboratory automation, scientific instrumentation, platform design, or related disciplines.