AI Solutions Engineer: Low-Code & Python AI for Enterprise

Segment (Twilio); Barcelona; Híbrido; EUR 60.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work plan

Flexible schedule

Remote work from home

Stock ownership program

Wellhub gym and wellness

Descripción de la vacante

Schneider Electric is seeking an AI Solution Engineer in the DCR AI Operations team to design, build and deploy AI solutions across low‑code and pro‑code paths. You will work with business stakeholders to define scope, validate outputs, and iterate based on feedback, delivering end‑to‑end from prototype to go‑live in a hybrid work setting.

You will leverage Copilot Studio, Python and LLM APIs to create scalable, reusable solutions, and contribute to best practices, governance, and documentation

Formación

• Hands-on experience building low‑code AI solutions with Copilot Studio, Agentforce and Power Automate.
• Hands-on experience with Python and LLM APIs (Azure OpenAI, OpenAI, Anthropic)
• Understanding of AI evaluation, guardrails, and responsible AI patterns.
• Strong grasp of conversational AI concepts: agent design, intents, knowledge management.

Responsabilidades

• Build and deliver AI solutions from PoC to production deployment.
• Design low-code AI solutions for agentic use cases.
• Develop pro-code AI solutions in Python with modern ML frameworks.
• Collaborate with stakeholders to define scope and iterate based on feedback.
• Own end-to-end delivery of use cases from prototype to go-live.

Conocimientos

Low-code AI

Python

LLM APIs

Stakeholder communication

Design thinking

Herramientas

Microsoft Copilot Studio

Salesforce Agentforce

Power Automate

Python

LangGraph

LangSmith

Databricks/Fabric

Descripción del empleo

Schneider Electric is seeking an AI Solution Engineer in the DCR AI Operations team to design, build and deploy AI solutions across low‑code and pro‑code paths. You will work with business stakeholders to define scope, validate outputs, and iterate based on feedback, delivering end‑to‑end from prototype to go‑live in a hybrid work setting.

You will leverage Copilot Studio, Python and LLM APIs to create scalable, reusable solutions, and contribute to best practices, governance, and documentation