About the Company
We are your Energy Technology Partner. We electrify, automate, and digitize 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.
As an AI Solution Engineer on the DCR AI Operations team, you will design, build, and deploy AI solutions across two delivery paths: low‑code using platforms such as Microsoft Copilot Studio and Salesforce Agentforce, and pro‑code using Python and modern AI/ML frameworks. You will work closely with business stakeholders, capability Product Owners, Platform architects, Enterprise IT, AI Hub, and the DCR Makers community to turn real problems into production‑ready solutions, owning the full delivery lifecycle.
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 with the right quality, governance, and documentation standards.
Design and build low‑code AI solutions from PoC to production deployment, using Microsoft Copilot Studio and other low‑code platforms for standard agentic use cases; use 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.
Coordinate with AI Hub and Enterprise IT environment management, following company 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.
Keep your Microsoft Copilot Studio certification current and expand your knowledge across the broader AI ecosystem: 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.
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.
Experience with enterprise data connectors – SharePoint, Dynamics 365, SAP, Salesforce.
Data engineering fundamentals – SQL, basic pipeline work (Databricks or Fabric), enough to prepare data for AI consumption.
Background in a commercial or customer‑facing function – Sales, Customer Support, Services – to understand the problems you are solving.
You don’t consider a solution "done" because it worked in a demo – you set up traces, evaluations,



and monitoring so you know how it behaves with real users and data.
You can walk a business stakeholder through what you built and why it works, without hiding behind jargon.
You follow the space, test new capabilities, and bring that knowledge back to the team.
Versátil schedule – adjust your work hours to accommodate personal needs and responsibilities.
Hybrid work plan – enjoy the flexibility of working from home when you wish.
Floating holidays – exchange holidays for other days that better suit your plans.
Sabbatical Pack – request up to two months of extra leave (unpaid) to explore new experiences or focus on personal projects.
Global Family Leave Policy – flexible paid conditions for parenthood, bereavement, or caring for a loved one.
Wellhub network – access a wide range of gyms and sports centers.
Career Hub – AI‑driven professional development platform to connect with job opportunities, projects, and mentors globally.
Flexible Remuneration Plan – choose from health insurance, meal vouchers, childcare vouchers, transportation vouchers, training, and more.
It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.
Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders.

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