End-to-End Technical Leader – System.AI (M/F)

Join Schneider Electric and help transform critical infrastructure through AI and data-driven services.

At Schneider Electric, we leverage Artificial Intelligence, advanced analytics, and Condition-Based Maintenance to improve the performance, resilience, and sustainability of critical infrastructure.

Within System.AI, our global Center of Excellence, you will join a rapidly growing team developing and deploying Data & AI solutions for Data Centers, industrial environments, healthcare facilities, electrical distribution networks, and microgrids.

You will help turn innovative concepts into scalable, industrialized solutions that deliver measurable value to our customers.

Your Role

As an End-to-End Technical Leader, you are responsible for the technical consistency of System.AI solutions throughout their lifecycle, from opportunity qualification to deployment and operational handover.

Working at the intersection of Sales, Architecture, Engineering, Data & AI teams, and Delivery organizations, you ensure solutions are technically sound, executable, secure, and aligned with customer business objectives.

You bring an end-to-end perspective that connects customer needs, solution architecture, and delivery constraints, enabling scalable deployment of innovative AI-powered solutions.

Your Missions

End-to-End Technical Ownership


* Own the technical lifecycle of System.AI solutions from opportunity qualification through deployment and operational handover.


* Ensure alignment between customer requirements, target architecture, delivery constraints, and business objectives.


* Act as the primary technical authority for pilot projects and Engineer-to-Order (ETO) solutions.


* Support the industrialization of solutions to enable scalability and repeatability across customers and regions.

Presales & Solution Definition


* Support Sales teams during technical qualification of opportunities.


* Perform feasibility studies, technical risk assessments, and architecture validation activities.


* Contribute to scope definition, Data & AI architecture design, effort estimation, and technical proposal creation.


* Participate in customer workshops, technical presentations, and bid defense sessions.

Data & AI Architecture


* Design and lead solutions covering the complete value chain, from data acquisition and contextualization to analytics and business value generation.


* Ensure reliability, security, and scalability of data pipelines.


* Validate that AI models and analytics capabilities are aligned with operational constraints and business use cases.


* Lead technical decisions related to Edge-to-Cloud architectures, Data Platforms, Azure services, and AVEVA CONNECT environments.


* Ensure delivered solutions generate measurable outcomes in predictive maintenance, asset availability, and operational performance.

Technical Execution & Governance


* Coordinate engineering, integration, development...