We are your Energy Technology Partner. We electrify, automate, and digitalize every industry, business, and home, driving efficiency and sustainability. Schneider Electric’s digital department leads the transformation by supporting internal teams and clients worldwide. As an AI Solution Engineer in the DCR AI Operations team, you will design, build and deploy AI solutions across low‑code and pro‑code delivery paths.
Build and deliver AI solutions for DCR capabilities, including PoC to production deployment.
Design low‑code AI solutions using Microsoft Copilot Studio and other platforms for agentic use cases.
Build pro‑code AI solutions in Python with modern AI/ML frameworks for complex use cases.
Coordinate with AI Hub and Enterprise IT for environment management and adherence to architecture standards.
Ensure solutions pass Design, UAT and Certification Gateways before go‑live.
Embed quality and documentation into every build; document architecture decisions, connector configuration, prompt design and known limitations.




Maintain Microsoft Copilot Studio certification and expand knowledge across the AI ecosystem.
Hands‑on experience building solutions with low‑code AI platforms such as Microsoft Copilot Studio, Salesforce Agentforce, and Power Automate.
Hands‑on experience with Python and LLM APIs (Azure OpenAI, OpenAI, Anthropic, etc.) Understanding of AI evaluation and guardrails: measuring output quality, detecting hallucinations, applying content filtering and responsible AI patterns.
Fluent in English – written and spoken.
Microsoft Copilot Studio or Power Platform certification is desirable.
Experience with enterprise data connectors (SharePoint, Dynamics365, SAP, Salesforce).
Data engineering fundamentals: SQL, basic pipeline work (Databricks or Fabric).
Background in a commercial or customer‑facing function (Sales, Customer Support, Services).
Hybrid work plan allowing remote work from home.
Floating Holidays to exchange days that better fit personal plans.

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📍 España