Lead Automation & AI Engineer

General Summary:

The Lead Automation & AI Engineer is 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. 

Essential Duties and Responsibilities:

• 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

Knowledge, Skills, and/or Abilities Required:   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions

• 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

Educational/Vocational/Previous Experience Recommendations:

• Bachelor’s degree in related field or equivalent business experience

• 8+ years of relevant experience

Working Conditions:

• Onsite/Hybrid/Remote depending on location