AI Systems Engineer (Power Platform & Copilot)

Job Responsibilities

Architecture & Multi-Agent Design

• Design and deploy a scalable, secure multi-agent architecture utilising Microsoft Copilot Studio and Microsoft 365 Agents SDK.
• Establish orchestrations where individual, specialised AI agents successfully route tasks and share content seamlessly to execute complex business goals.
• Integrate custom Copilot with external data sources, APIs, and enterprise systems using Microsoft Dataverse and custom connectors.

Power Platform Workflow Development

• Develop, extend and manage complex, automated backend workflows using Power Automate and Power Apps to act as the core execution engine for AI agents.
• Build connected app experiences that allow Copilot agents to surface interactive data, update system records, and trigger automated processes directly within conversation interfaces.

Production, UAT & Deployment Lifecycle

• Conduct end-to-end User Acceptance Testing (UAT) cycles, partner business users to validate agent accuracy, response quality, and conversational logic.
• Manage solution packaging, application lifecycle management (ALM), and deployment across development, testing and production environments.

Troubleshooting & System Maintenance

• Provide Tier-3 support to actively troubleshoot system bottlenecks, integration failures, API latencies and unexpected agent behaviours.
• Continuously monitor multi-agent infrastructure and health, prompt performance, token usage and system capability.

Governance, Training & Documentation

• Create comprehensive Standard Operating Procedure (SOPs) and step-by-step technical guidebooks for ongoing platform maintenance.
• Produce user-friendly training manuals reference documentation, and guidelines specifically tailored for non-technical business owners and end-users.

Requirements

• At least two years of relevant experience in Microsoft Power Platform and Copilot Studio ecosystems.

• Proficient in more than one of the following technologies:

  • Microsoft Power Automate (Cloud & Desktop).
  • Power Apps.
  • Dataverse.
  • Microsoft 365 integrations.
  • Azure AI Services.

• A bachelor’s degree in IT, computer science, systems engineering or related field.

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We regret to inform you that only shortlisted applicants would be notified

Elitez Pte Ltd | EA License No.: 16C8004

Nicholas Chan | EA Personnel No.: R1874725