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.

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Responsibilities
- 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.
- Work directly with business stakeholders to define scope, validate outputs and iterate based on user feedback.
- Own the end‑to‑end technical delivery of each use case, from prototype to go‑live.




- 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.
- Build scalable solutions that can be reused across capabilities.
- Contribute to DCR’s library of templates, reusable components and prompt patterns.
- Share best practices, shortcuts and patterns with the DCR Low‑Code Makers community.
- Help shape low‑code standards, best practices and governance guidelines.
- Maintain Microsoft Copilot Studio certification and expand knowledge across the AI ecosystem.
- Evaluate new pre‑built agents, connectors and capabilities as they become available.
- Bring platform insights back to DCR AI Operations to improve delivery.

Qualif

📌 AI Solution Engineer (Barcelona)
🏢 Segment (Twilio)
📍 Barcelona