About this role As an AI Solution Engineer, you will design, build and deploy AI solutions across two delivery paths – low‑code using Microsoft Copilot Studio and Salesforce Agent Force, and pro‑code using Python and modern AI/ML frameworks. You will work directly with business stakeholders to turn real problems into production‑ready solutions, owning the full delivery lifecycle from Po C to go‑live and ensuring each solution meets our quality, governance and documentation standards. Responsibilities Design and build low‑code AI solutions from Po C through to production deployment, using 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 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 including architecture decisions, connector configuration, prompt design and known limitations. 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 and patterns that work. Help shape DCR’s low‑code standards, best practices and governance guidelines as they mature. Keep your Microsoft Copilot Studio certification current and expand your knowledge across the broader AI ecosystem. 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. Qualifications Must have Hands‑on experience building solutions with one or more low‑code AI platforms – Microsoft Copilot Studio, Salesforce Agent Force, Power Automate. Hands‑on experience with Python and LLM APIs – Azure Open AI, Open AI, Anthropic or equivalent, including prompt engineering at the code level. 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 business contexts. Fluent in English – written and spoken. Good to have Microsoft Copilot Studio or Power Platform certification. Experience with enterprise data connectors – Share Point, Dynamics 365, SAP, Salesforce. Lang Graph agentic framework, LLM Ops/MLOps exposure via Lang Smith. Data engineering fundamentals – SQL, basic pipeline work (Databricks or Fabric). Background in a commercial or customer‑facing function – Sales, Customer Support, Services. Who you are You pick the right tool, not the favorite one, and know when an agent or a multi‑agent system is required. You measure what you ship and document as you go, setting up traces, evaluations and monitoring to understand behaviour with real users and data.



You explain clearly – walk a business stakeholder through what you built and why it works without jargon. You are curious about the AI landscape – low‑code platforms, LLM providers, agentic frameworks – and bring that knowledge back to the team. You are comfortable with ambiguity – requirements may evolve, and you ask the right questions to make progress. Benefits Flexible schedule – freedom to adjust work hours to personal needs. Hybrid work plan – option to work from home. Holy Pack – purchase additional vacation days to recharge. Floating Holidays – exchange holidays for other days that better suit your plans. Sabbatical Pack – request up to 2 months of unpaid leave for personal projects. Global Family Leave Policy – flexible paid conditions for parenting, bereavement or caregiving. Wellwo – health and wellness platform for you and up to 5 people of your choice. Wellhub – network of gyms and sports centers for active lifestyle. On‑site medical service for close medical needs. Career Hub – AI‑driven professional development platform with job opportunities, projects and mentors. Stock ownership program – opportunity to become a shareholder. Recognition program – earn and redeem points for achievements. Life insurance for protection. Versátil Remuneration Plan – choose from health insurance, meal vouchers, childcare vouchers, transportation vouchers, training and more. Club Schneider – discounts at stores, restaurants and travel agencies. Volunteer programmes – participate in company‑subsidised community projects. Equal Opportunity Statement Schneider Electric is an Equal Opportunity Employer. We provide equal employment and advancement opportunities in recruiting, hiring, training, transferring and promoting all qualified individuals irrespective of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status or any other legally protected characteristic. #J-18808-Ljbffr

📌 Ai Solution Engineer (Alcobendas)
🏢 Schneider Electric
📍 Alcobendas