• Own system-level technical intent from early design through deployment, ensuring alignment across engineering, deployment, and operations teams. • Define system architectures covering interactions between robots, AI and optimization layers, control software, and external systems. • Design and document integrations with customer IT systems, including WMS, WCS, WES, ERP, and other automation platforms using APIs, events, and data models. • Collaborate closely with robotics, software, controls, and deployment engineers to validate technical feasibility and system behavior. • Serve as the primary technical expert for robotic piece picking engagements, working directly with customers to understand their business objectives, operational flows, and constraints. • Translate customer requirements into end-to-end system architectures that balance performance, scalability, cost, and risk, while aligning with AutoStore’s robotic piece picking product portfolio. • Support pre-sales team to analyze customer operations to evaluate optimized robotic piece picking solutions. • Evaluate system architectures based on value, cost, functionality, feasibility, and operational risk. • Support system configuration, testing, validation, and operational readiness, including UAT and performance testing. • Analyze system performance data, logs, and operational metrics to identify bottlenecks, edge cases, and improvement opportunities. • Create and maintain technical documentation such as system diagrams, process flows, solution descriptions, and requirements specifications. • Contribute to design standards, best practices, MRS and project documentation for robotic piece picking solutions.