AI Solution Engineer

Schneider Electric; Bellprat; Híbrido; EUR 60.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible schedule

Hybrid work

Stock ownership

Life insurance

Wellbeing platform

Gym network

Career development

Global family leave

Sabbatical option

Volunteer programmes

Descripción de la vacante

Schneider Electric designs AI solutions across low-code and pro-code platforms from PoC to production, working with business stakeholders and IT to ensure governance and quality. You will craft scalable, well-documented solutions using Copilot Studio, AgentForce and Python with modern AI/ML frameworks.

As part of the DCR team, you will maintain certifications, contribute to templates and patterns, and help evolve low-code standards while collaborating with AI Operations and Enterprise IT for

Formación

• Hands-on experience building low-code AI solutions using Copilot Studio, AgentForce, or Power Automate.
• Proficient in Python and LLM APIs with prompt engineering at code level.
• Knowledge of AI evaluation, guardrails, content filtering and responsible AI patterns.
• Strong grasp of conversational AI concepts including agent design and escalation flows.
• Ability to translate business problems into working AI solutions with limited detail.
• Experience coordinating with stakeholders across multiple use cases.

Responsabilidades

• Design and build low-code AI solutions from PoC to production deployment.
• Collaborate with business stakeholders to define scope and validate outputs.
• Own end-to-end technical delivery from prototype to go-live.
• Ensure solutions follow architecture standards and validation pathways.
• Document architecture decisions, connectors, prompts and limitations.
• Create scalable templates and reusable components for future use.

Conocimientos

Low-code AI platforms

Python

LLM APIs

AI evaluation & guardrails

Conversational AI concepts

Stakeholder communication

English fluency

Educación

Bachelor's degree in CS or related

Herramientas

SharePoint

Dynamics 365

SAP

Salesforce

LangGraph / LangSmith

Descripción del empleo

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 AgentForce, 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 PoC to go‑live and ensuring each solution meets our quality, governance and documentation standards.

Responsibilities

• Design and build low‑code AI solutions from PoC 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 AgentForce, Power Automate.
• Hands‑on experience with Python and LLM APIs – Azure OpenAI, OpenAI, 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 – SharePoint, Dynamics 365, SAP, Salesforce.
• LangGraph agentic framework, LLM Ops/MLOps exposure via LangSmith.
• 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.
• Flexible 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.