We are your Energy Technology Partner. We electrify, automate, and digitalize every industry, business, and home, driving efficiency and sustainability for all.

At Schneider Electric, our values – IMPACT (Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork) – are the foundation of everything we do. Becoming an Impact Maker means turning sustainability ambitions into actions at the intersection of automation, electrification, and digitization.

Are you ready to lead the digital transformation to create a more sustainable world?

If you are up to challenge your creativity and make an impact, we are excited to welcome you!

Schneider Digital is the digital department of Schneider Electric, leading the digital transformation in the company by giving support globally to our internal teams and our clients. Schneider Digital consists of 6 Digital Hubs worldwide which are strategically located to ensure a 24/7 support across the company (France, China, India, USA, Mexico and Spain). Our Digital Hub in Barcelona is formed by +450 employees working in strategic projects and different roles such as Data, Cybersecurity, ERP, Cloud, Infrastructures, IT Project Management or Digital Marketing.

DCR AI Operations is a general team responsible for delivering, enabling and scaling low-code and pro-code AI solutions across Schneider Digital. As an AI Solution Engineer, you will design, build and deploy AI solutions across two delivery paths: low-code using platforms like Microsoft Copilot Studio and Salesforce Agentforce, and pro-code using Python and modern AI/ML frameworks. You will move fluidly between both, picking the right tool for the use case, not the other way around.

The DCR AI Operations team - a small, central team operating across all of DCR's and CXCT capabilities globally. You will work closely with business stakeholders, capability Product Owners, Platform architects, Enterprise IT and AI Hub, as well as the growing DCR Makers community across the organization.





Your work will have direct business impact from day one—the solutions you build will serve real users in real capabilities, and will contribute to Schneider Electric's strategic AI priorities for DCR.

You will work directly with business stakeholders to turn real problems into production-ready solutions, owning the full delivery lifecycle— from PoC through to go-live and ensuring every solution is built to the right quality, governance and documentation standards.

What will you do?

Build and deliver AI solutions for DCR capabilities

- Design and build low-code AI solutions from PoC through to production deployment, Microsoft Copilot Studio and other low-code platforms for standard agentic use cases, and Python with modern AI/ML frameworks for more complex use cases.
- Work directly with business stakeholders and digital capabilities to define scope, validate outputs and iterate based on real user feedback
- Own the end-to-end technical delivery of each use case— from first prototype to go-live
- Coordinate with AI Hub and Enterprise IT environment management, following company's architecture standards— RAG systems, agentic workflows, multi-agentic architectures.
- Ensure every solution follows the full validation path — Design, UAT and Certification Gateways — before going live.

Embed quality and documentation into every build

- Document each solution thoroughly - architecture decisions, connector configuration, prompt design, known limitations - so it can be operated, maintained and evolved with confidence




- Build solutions that are designed to scale and be reused across capabilities where possible
- Contribute to DCR's library of templates, reusable components and prompt patterns

Contribute to the DCR Low-Code Makers community

- Share what you learn – tricks, shortcuts, patterns that work – with the growing community of makers across DCR capabilities
- Help shape DCR’s low-code standards, best practices and governance guidelines as the model matures

Stay sharp the platform

- Keep your Microsoft Copilot Studio certification current and expand your knowledge across the broader AI ecosystem: LLM providers, agentic frameworks, low-code platforms.
- Evaluate new pre-built agents, connectors and capabilities as they become available across platforms
- Bring platform insights back to DCR AI Operations to continuously improve how we deliver

What are the key skills we are looking for?

Must have

- Hands‑on experience building solutions with one or more low‑code AI platforms— Microsoft Copilot Studio, Salesforce Agentforce, Power Automate.
- Hands‑on experience with Python and LLM APIs – Azure OpenAI, OpenAI, Anthropic or equivalent, including prompt engineering at code level, not just in a UI.
- Understanding of AI evaluation and guardrails— measuring output quality, detecting hallucinations, applying content filtering and responsible AI patterns.
- Strong understanding of conversational AI concepts: agent design, intent handling, knowledge base management, escalation flows
- Ability to work directly with business stakeholders— translate a business problem into a working solution without needing a fully detailed specification
- Comfortable managing multiple use cases simultaneously, with different stakeholders and different business contexts
- Fluent in English— written and spoken

Good to have

- Microsoft Copilot Studio or Power Platform certification.

#J-18808-Ljbffr

📌 AI Solution Engineer (Bellprat)
🏢 Schneider Electric
📍 Bellprat