Job description

Description: • 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 Benefits:

Requirements