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Schneider Electric

Global energy management and automation provider

Principal – Edge System Management AI Technical Lead

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeBarcelona, SpainNo salary listedIn-person

About the Job

Requirements

  • At least 8 years of software engineering experience, including experience in architecture or technical leadership.
  • A proven track record designing and delivering distributed platforms spanning edge, cloud, and devices.
  • Hands-on experience building and operating scalable systems.
  • Experience working across engineering, product, and artificial intelligence/machine learning teams.
  • Exposure to edge/Internet of Things or complex system integrations.
  • Strong expertise in distributed systems and scalable architecture.
  • Experience designing artificial intelligence-enabled platforms, including data pipelines for ingestion, processing, and inference; model deployment and lifecycle across edge and cloud; and application programming interface integration with artificial intelligence services.
  • Proficiency with Kubernetes and at least one cloud platform, such as Microsoft Azure or Amazon Web Services.
  • A solid understanding of edge computing and device management.
  • Experience integrating artificial intelligence and data pipelines into platforms.
  • Strong knowledge of DevOps, continuous integration/continuous delivery, and observability.
  • Ability to lead technical decisions and communicate architecture clearly.

Responsibilities

  • Define, maintain, and evolve artificial intelligence-powered tools, workflows, and solutions for every Edge System Management user profile, including developers, testers, product teams, and support teams.
  • Drive adoption by helping teams use, customize, and improve artificial intelligence tools, and gather feedback to iterate on them.
  • Champion artificial intelligence best practices, including responsible usage, cybersecurity and data constraints, and quality and reliability guardrails.
  • Ensure compatibility, extensibility, and clean integration of artificial intelligence capabilities within the Edge System Management architecture and roadmap.
  • Represent Edge System Management in cross-organizational artificial intelligence communities, including AI Hub, EcoOS, and other Intelligent Edge teams, aligning strategy and sharing or reusing solutions.
  • Develop a deep understanding of team workflows, tools, architecture, and the Internet of Things product context to integrate artificial intelligence solutions coherently into the existing Edge System Management ecosystem.
  • Own the technical vision for how artificial intelligence fits into the overall Edge System Management architecture and roadmap, ensuring scalability, security, and long-term maintainability.
  • Arbitrate key technical decisions about artificial intelligence adoption, including build-versus-buy choices, tooling, and technical-debt-versus-innovation trade-offs.
  • Act as a technical escalation point, unblocking critical issues where artificial intelligence intersects with engineering, architecture, quality assurance, and product.
  • Ensure alignment among Intelligent Edge Architecture, Product Management, and engineering on the artificial-intelligence-driven technical vision, driving change management and upskilling.
  • Produce and maintain clear documentation and guidelines for artificial intelligence tools, workflows, and solutions for all Edge System Management users.
  • Communicate artificial intelligence initiatives, results, and rationale—including proofs of concept, tools, and roadmap—to technical teams and non-technical stakeholders.
  • Contribute to defining the Edge System Management roadmap with Product Management by clarifying artificial intelligence dependencies, enablers, and business impacts.

About the Company

Schneider Electric

Global energy management and automation provider

Schneider Electric is a global specialist in energy management and automation. It helps homes, businesses, and industries run electricity more efficiently by selling electrical products, automation hardware, software, and related services. Its offerings cover electrification, automation, and digitization, and solutions connect devices, collect data, and control systems to optimize energy use in smart industries, resilient infrastructure, and data centers. The company distinguishes itself with a broad, end-to-end portfolio and a worldwide presence in over 100 countries, combining hardware, software, and services to address sustainability and reliability. Its goal is to help people and organizations use energy more efficiently, reduce environmental impact, and improve uptime and reliability.

Company size
10,001+
Company stage
IPO
Headquarters
Rueil-Malmaison, France
Founded
1836

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