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AI Engineer Manager

rsm · San Salvador

Nuevo
Senior 🇬🇧 English
Python Azure OpenAI Microsoft Copilot Studio Power Automate REST APIs Prompt Engineering Azure AI Services

Descripcion del puesto

About the role

RSM's Outsourced Solutions and Managed Services team is looking for an AI Engineer to lead intelligent automation initiatives across the organization. The role identifies process inefficiencies, uses enterprise data and builds AI-powered solutions that improve productivity, reduce manual effort and enhance customer and employee experiences. It works closely with business stakeholders, data engineers, architects and application teams to design scalable AI solutions.

Key responsibilities

  • Identify business processes suitable for AI and automation through stakeholder engagement and process analysis.
  • Design, develop and deploy AI-powered solutions using Azure AI, OpenAI, Microsoft Copilot Studio and related technologies.
  • Build intelligent workflows with Power Automate, APIs, AI agents and enterprise integrations.
  • Work with Data Engineers on predictive analytics, RAG solutions, copilots and automation.
  • Develop proof-of-concept and production-ready AI applications following governance and security standards.
  • Measure automation success through KPIs such as productivity, cost savings, quality improvements and user adoption.
  • Stay current with emerging AI technologies and recommend new solutions for the Managed Services organization.

Required profile

  • Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering or a related discipline (required).
  • 3-5 years developing automation or AI solutions.
  • Experience implementing enterprise AI applications and integrating AI with business systems.
  • Preferred: Microsoft AI ecosystem, Managed Services or consulting experience, process mining, and delivering generative AI solutions at scale.

Required skills

  • Python, Azure OpenAI, Microsoft Copilot Studio, Power Automate, REST APIs, prompt engineering, Azure AI Services.
  • Strong software engineering principles.
  • Leadership: strong consulting mindset, independent identification of automation opportunities, business process improvement expertise, excellent communication with executives and stakeholders, innovation and continuous learning.

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Source : ats:workday

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Publicado hace 3 días

Expira en 1 mes

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rsm

San Salvador