IT Power Platform AI Automation Engineer

Overview

Power Platform & AI Automation Engineer role on a backlog-driven, service-oriented team, delivering automation, Copilot Studio agents and AI-enabled solutions, and supporting production platforms.

What you'll do

• Lead the end-to-end delivery of assigned automation backlog items using Copilot Studio, Cowork, Power Apps, Power Automate, and PowerShell for M365 automation, administration and lifecycle management, following established architecture patterns, governance standards, and ALM guidance.
• Implement Copilot Studio agents and AI-enabled automation for approved use cases, applying the organization's governance and security standards.
• Determine root causes of automation failures, performance issues, and operational incidents reported, and remediate issues appropriately.
• Support production automation and platform workloads in a backlog-driven, service-oriented model, contributing to documentation, operational runbooks, and knowledge-base articles.
• Build and maintain Power BI reports and dashboards covering automation health, platform usage and adoption, and governance/audit metrics.

What you'll need

• Overall experience of 7+ years with a Bachelor's degree in Computer Science, Information Technology, or a relevant related field.
• Three (3) years of experience building solutions with Power Platform (Power Apps canvas and model-driven applications, Power Automate flows with enterprise error-handling and resiliency patterns, Dataverse, Copilot Studio).
• Three (3) years of PowerShell scripting experience for Microsoft 365 automation and administration, including Graph API.
• Two (2) years of experience building AI-enabled or agent-based solutions (e.g., Copilot Studio, Azure AI Foundry, or LLM-based automations).
• Experience supporting production platforms and automation workloads, including incident response and root cause analysis.
• Experience building and governing Copilot Studio agents or other AI/agent-based solutions including knowledge sources, custom actions and connectors, prompt design, and responsible AI practices.
• Strong troubleshooting and debugging skills, comfort in backlog-driven delivery models, clear written communication skills, and effective use of AI-assisted development tools.

Nice to have

• Microsoft certifications such as PL-400 (Power Platform Developer), AB-620 (AI Agent Builder Associate), PL-200, or AI-102 (Azure AI Engineer Associate).