ConnectWise

Lead Automation and AI Engineer

ConnectWise

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Job Level

Senior

Tech Stack

AzureJavaScriptPython

About the role

  • Lead Automation & AI Engineer responsible for building scalable enterprise solutions using Microsoft Power Platform, designing copilots with Copilot Studio, and integrating with Azure AI Services to enhance business outcomes.
  • You’ll collaborate with product owners and stakeholders to translate requirements into working solutions while applying modern engineering practices.
  • You’ll also play a key role in shaping AI governance practices, ensuring responsible and secure deployment of AI-powered copilots within the enterprise.
  • Establishes operational plans for the Automation Engineering team
  • Develops and implements new products, processes, standards, and/or operational plans that will have an impact on the achievement of functional results
  • Provides support to cross-functional team(s), with a high attention to detail
  • May require communication with ConnectWise leadership
  • Build enterprise-grade workflows using Power Automate, Power Apps, and Dataverse (4–5 years)
  • Design and deploy copilots using Copilot Studio, grounded in enterprise data (1+ year)
  • Integrate Azure AI Services like Azure OpenAI and Azure AI Search to extend copilot capabilities (1–2 years)
  • Apply prompt engineering techniques, including Retrieval-Augmented Generation (RAG)
  • Collaborate in defining and operationalizing AI governance frameworks, including prompt safety, explainability, access control, and auditability standards
  • Guide and coach other developers on design patterns, modularity, reusability, platform usage, and automation best practices
  • Perform code reviews, contribute to shared component libraries, and maintain technical documentation aligned with enterprise standards
  • Develop and manage Power Platform pipelines for Copilot Studio agents, ensuring efficient and reliable deployment processes
  • Implement automated controls to validate AI governance processes within Copilot Studio use cases, ensuring compliance with enterprise standards
  • Design and implement custom connectors to integrate Power Platform solutions with external systems and APIs, ensuring seamless data flow and functionality
  • Collaborate with data owners to structure content and make it AI-ready for LLM-enhanced workflows
  • Integrate Power Platform solutions with Microsoft 365 tools such as SharePoint, Teams, and Excel to enhance collaboration and productivity
  • Implement secure development practices, compliance-aware automation, and version-controlled deployments
  • Integrate with REST APIs and custom connectors within Power Platform and automation workflows (2–3 years)
  • Ensure logging, monitoring, and telemetry are in place for automation and copilot performance tracking
  • Work within Agile teams, participating in sprints, refinement, and demos (6–7 years)
  • Partner with architects, analysts, and compliance leads to ensure traceable, secure, and scalable delivery

Requirements

  • Ability to manage large projects and processes independently with limited supervision
  • Recognized expert in applicable work area
  • Ability to situationally adapt and understand new technology/processes as per requirement
  • Proficiency in Microsoft Power Platform (Power Automate, Power Apps, Dataverse, AI Builder) (4–5 years)
  • Implementation experience with ALM, GitHub, Azure DevOps, Power Platform Admin Center, and Power Platform Governance
  • Practical experience with Copilot Studio (1+ year)
  • Familiarity with Azure AI Services, including Azure OpenAI and Azure AI Search (1–2 years)
  • Strong experience in automation platforms such as UiPath, Blue Prism, or equivalents (4–5 years)
  • Experience integrating with enterprise systems such as Salesforce, NetSuite, Workday, and SAP
  • Programming/scripting experience in C#, JavaScript, or Python (5+ years)
  • Applied knowledge of secure coding, role-based access, and enterprise data integration (2–3 years)
  • Experience using GitHub, Azure DevOps, and managing Power Platform pipelines (3+ years)
  • Experience mentoring peers and enforcing development standards, reusability, and modular design in collaborative agile environments (2+ years)
  • Experience collaborating with business, security, and data teams to design and implement AI governance models aligned with enterprise compliance and ethical AI standards (1–2 years)
  • Strong problem-solving and analytical thinking
  • Excellent communication skills and the ability to effectively engage with stakeholders to gather requirements and deliver impactful solutions