Copilot AI Engineer - Power Platform & L&D

Miratech

Buenos Aires

Presencial

ARS 136.828.000 - 197.640.000

Jornada completa

Hace 3 días
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Relocation available

Descripción de la vacante

Chevron in Buenos Aires seeks a Software Engineer for Learning and Development to design and deploy intelligent copilots using Microsoft Copilot Studio, with integration to enterprise systems like Workday and ServiceNow. The role emphasizes collaboration with stakeholders to turn requirements into functional AI experiences and ongoing optimization of Copilot solutions for performance and scalability.

The ideal candidate has 3+ years with Power Platform, strong deployment knowledge, and hands-on

Formación

  • Minimum 3 years of hands-on Power Platform experience.
  • Strong Power Platform solution management and deployment knowledge.
  • Hands-on familiarity with Copilot Studio and AI tools.
  • Experience building conversational AI solutions and low-code AI.
  • Ability to learn and apply Copilot Studio for AI solutions.
  • Understanding of Generative/Agentic AI and Responsible AI.
  • Knowledge of Azure services for extending Power Platform.

Responsabilidades

  • Design, develop, enhance, and deploy intelligent copilots using Copilot Studio.
  • Integrate Copilot solutions with Workday and ServiceNow.
  • Collaborate with stakeholders to translate requirements into Copilot experiences.
  • Optimize and maintain Copilot solutions for performance and scalability.

Conocimientos

Power Platform
Copilot Studio
Low-code AI
Conversational AI

Herramientas

Azure Functions
Logic Apps
Dataverse
Workday integration
ServiceNow integration

Descripción del empleo

Chevron in Buenos Aires seeks a Software Engineer for Learning and Development to design and deploy intelligent copilots using Microsoft Copilot Studio, with integration to enterprise systems like Workday and ServiceNow. The role emphasizes collaboration with stakeholders to turn requirements into functional AI experiences and ongoing optimization of Copilot solutions for performance and scalability.

The ideal candidate has 3+ years with Power Platform, strong deployment knowledge, and hands-on

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