Automation and Applied AI Technician

Design, develop, implement, and maintain business process automation solutions, primarily on Microsoft 365 and Microsoft Power Platform, incorporating Artificial Intelligence when it allows for improved efficiency, reduction of manual tasks, minimization of errors, or automation of information and documentation processing.

The position will participate in the complete solution cycle: analysis, design, development, testing, production deployment, documentation, maintenance, and measurement of results.

• Analyze manual processes and detect automation opportunities.
• Design and develop flows with Power Automate and applications with Power Apps.
• Design and build agents and assistants using Microsoft Copilot Studio, Azure OpenAI, or equivalent technologies, connecting them with enterprise sources and access controls.
• Automate processes on SharePoint, Teams, Outlook, Excel, and OneDrive.
• Incorporate AI to classify, extract, analyze, summarize, or generate information.
• Automate the processing of documents, invoices, forms, emails, and structured or unstructured data.
• Create integrations via REST APIs, standard connectors, and custom connectors.
• Integrate Microsoft 365 with corporate applications and third-party platforms.
• Develop RPA automations when suitable APIs or connectors do not exist.
• Design controls, validations, alerts, and monitoring mechanisms.
• Design proofs of concept and pilots, defining objectives, risks, expected results, and success criteria before production deployment.
• Perform functional and technical tests, manage incidents, and maintain solutions.
• Document developments and facilitate their transfer and support.
• Provide training and accompany users in the adoption of solutions, adapting communication to technical and business profiles.
• Apply best practices for security, permissions, credentials, environments, and lifecycle.

• Power Automate Cloud and Microsoft 365.
• SharePoint Online, Outlook, Teams, Excel, and OneDrive.
• Power Apps at the solution creation and maintenance level.
• REST APIs, JSON, connectors, and authentication.
• Generative AI applied to processes and prompt design.
• Practical knowledge of Microsoft Copilot Studio, agent creation, and connection with enterprise sources.
• Automated extraction, classification, and processing of documents.
• Data management with Excel, SharePoint Lists, and functional knowledge of Dataverse.

• AI Builder.
• Azure AI Services and Azure OpenAI.
• Power Automate Desktop and RPA.
• Power BI, SQL, and Python.
• JavaScript or TypeScript.
• Git, Azure DevOps, and ALM practices.
• Salesforce or other enterprise platforms.
• IDP and OCR technologies.

Indicative experience of 2 to 5 years in automation, applied AI, integration, or solution development projects, with special value placed on completed projects and demonstrable capability.

The candidate must be able to prove at least two real projects, explaining the starting process, the technology used, their participation, the integrations performed, the results obtained, and subsequent maintenance.

• Computer Engineering, Telecommunications Engineering, or equivalent technical degree.
• Higher Vocational Training in Multiplatform Application Development (DAM).
• Higher Vocational Training in Web Application Development (DAW).
• Higher Vocational Training in Network Computer Systems Administration (ASIR).
• Other degrees if sufficient professional experience in automation and development is proven.

• Recommended: Microsoft Certified: Power Platform Fundamentals (PL-900) or equivalent demonstrable knowledge.
• Highly valued: Microsoft Certified: Power Platform Developer Associate (AB-400).
• Valuable: certified training in Copilot Studio, Azure AI, Azure OpenAI, generative AI, RPA, APIs, and systems integration.
• Valuable: training in Agile or Scrum methodologies.

• Analytical capacity and process orientation.
• Technical autonomy and problem-solving.
• Ability to understand business needs and translate them into solutions.
• Effective communication with technical and non-technical users.
• Orientation toward results, quality, and continuous improvement.
• Capacity for documentation, organization, and cross-functional work.
• Technological curiosity and continuous learning.