Overview
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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 xqbhyrx
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