AI Automation Engineer

AI Automation EngineerBuild, deploy, and support AI agents in Microsoft Copilot Studio that replace manual work and automate business processes. Work directly with the AI Architect and business teams to turn process pain points into working agents, then track adoption and impact.This position is located in the client office in Canton, MA but can be performed remotely.Your Future Duties And ResponsibilitiesRequirements Discovery: Work with the AI Architect and business users to understand manual workflows, identify automation candidates, and define agent scope and success criteria.Agent Development: Build agents in Copilot Studio, including topics, prompts, knowledge sources, actions, and conversation flows.Workflow Automation: Connect agents to systems using Power Automate, connectors, and APIs (e.g., SharePoint, Teams, Outlook, Dataverse, Excel, ServiceNow, internal apps).Prompt And Knowledge Design: Write and refine instructions, ground agents on enterprise content, and tune responses for accuracy and consistency.Testing And Quality: Test agents for accuracy, edge cases, and failure handling. Validate with business users before release.Deployment And Governance: Follow architect defined standards for security, data access, DLP, environment management (dev/test/prod), and responsible AI.Usage Tracking And Reporting: Monitor agent adoption, volume, resolution rates, and time/effort saved. Build simple dashboards (Power BI or Copilot Studio analytics) and report progress to leadership.Continuous Improvement: Review feedback and usage data, then iterate on agents to improve performance and expand coverage.Documentation And Enablement: Maintain agent documentation, runbooks, and user guides. Train business users on adoption.Required Qualifications To Be Successful In This RoleMust have at least 6+ years of experience as a full stack developer with Python or similar language3+ years in automation, software, or solutions engineeringHands on experience with Microsoft Copilot Studio and Power Platform (Power Automate, Power Apps, Dataverse)Working knowledge of generative AI concepts: LLMs, prompt engineering, grounding/RAG, and agent limitationsExperience with REST APIs, JSON, and system integrationsAbility to translate business processes into automated workflowsStrong communication skills and comfort working directly with non-technical stakeholdersDesired QualificationsMicrosoft certifications (PL 200, PL 400, AI 900, AI 102)Experience with Azure AI services (Azure OpenAI, AI Foundry, AI Search)Familiarity with agent frameworks beyond Copilot StudioBasic Python or JavaScript for custom actionsPower BI for usage and ROI reportingExperience in healthcare, insurance, or other regulated industries