Overview In this role you own the technical lifecycle of System. AI solutions, from opportunity qualification to deployment and handover. You align customer needs with target architectures, ensuring secure, scalable AI-enabled outcomes for data centers, industrial environments, and critical infrastructure.

You collaborate across Sales, Architecture, Engineering, and Delivery to deliver measurable value and scalable, industrialized solutions. This is a chance to shape AI-powered services at a global scale and drive tangible impact for customers.

Compensaciones / Beneficios

- health insurance
- paid time off
- teleworking
- retirement plans
- employee share ownership plan
- integral career opportunities

Responsabilidades
- Own the full technical lifecycle of System.AI solutions from qualification to handover
- Ensure alignment between customer requirements, architecture, delivery constraints, and business objectives
- Serve as technical authority for pilot projects and Engineer-to-Order solutions
- Industrialize solutions for scalability and repeatability across customers and regions
- Support Sales during technical qualification and contribute to scope, data & AI architecture, estimation, and proposals
- Participate in customer workshops, technical presentations, and bid defense sessions
- Design and lead data acquisition,



analytics, and value-generation solutions
- Ensure reliability, security, and scalability of data pipelines
- Lead decisions on Edge-to-Cloud architectures, Data Platforms, Azure services, and AVEVA CONNECT environments
- Coordinate engineering, integration, development, and deployment teams
- Manage technical risks related to architecture, cybersecurity, and OT/IT integrations
- Ensure deployment readiness, documentation quality, and successful handover
- Capture lessons learned and contribute to reusable frameworks and delivery methodologies

Requisitos principales
- 7+ years in technical solution delivery, systems integration, solution architecture, or application engineering
- Strong experience in IIoT, cloud platforms, data platforms, and edge-to-cloud architectures
- Good understanding of industrial connectivity, DevOps, and OT/IT integration challenges
- Proven experience in customer-facing technical projects
- Fluent English; French is a strong asset
- Technical leadership
- Problem-solving
- Stakeholder management
- IIoT architectures (OPC-UA, MQTT, Modbus, edge computing)
- Industrial data acquisition and gateways
- OT/IT integration (SCADA, BMS, DCIM) with cloud platforms

📌 End-to-End Technical Leader – System.AI (M/F) - barcelona
🏢 Schneider Electric
📍 Barcelona