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 integral scale and drive tangible impact for customers.

Compensaciones / Beneficios

- health insurance
- paid time off
- teleworking
- retirement plans
- employee share ownership plan
- global 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