Role Overview

We are seeking a mid‑level AI Agent Factory Solutions Architect to design and implement agentic AI solutions using Microsoft Copilot Studio. This role focuses on building custom copilots that integrate with enterprise knowledge sources, orchestrate multi‑step agent workflows, connect with Azure AI Search, and follow strong Application Lifecycle Management (ALM) practices to enable scalable, secure deployments.

The ideal candidate will combine hands‑on Copilot Studio development skills with strong governance, orchestration, and collaboration capabilities.

Key Responsibilities

Copilot Studio Development

Design, build, and configure custom copilots, including topics, tools, and knowledge sources
Implement agent workflows using Power Automate, HTTP actions, and custom APIs
Integrate pre‑built and custom connectors with enterprise systems such as Dynamics, SAP, and ServiceNow
Enable multichannel deployment of copilots

Agentic Orchestration

Apply orchestration patterns including task decomposition, multi‑step execution, fallback strategies, and error handling
Design intelligent agent flows for complex enterprise use cases

ALM & Governance

Package copilots and Power Automate flows into Power Platform Solutions for development, testing, and production environments
Implement CI/CD using Power Platform Pipelines, Azure DevOps, or GitHub
Manage environment variables, connection references, and Dataverse dependencies

Observability, Security & Compliance

Ensure compliance with data residency, DLP policies, and secure API authentication using Microsoft Entra ID (Azure AD)
Support governance and compliance standards across environments
Implement observability and monitoring practices aligned with enterprise standards

Required Technical Skills

Microsoft Copilot Studio: authoring topics, tools, connectors, and multichannel deployments
Power Automate: flow design, HTTP actions, custom connectors, throttling and timeout handling
Azure AI Search: hybrid and vector retrieval, enrichment, re‑ranking, and integration with copilots
ALM & CI/CD: Power Platform Solutions (managed/unmanaged), deployment pipelines
Security & Governance: Entra ID authentication, environment variables, DLP policies

Preferred Qualifications (Good to Have)

Experience integrating Azure AI Search for enterprise RAG (Retrieval‑Augmented Generation) scenarios
Designing hybrid and vector‑based retrieval pipelines with semantic indexing
Implementing secure knowledge grounding for copilots
Monitoring solutions using Azure Monitor and Application Insights
Exposure to Responsible AI principles and enterprise governance frameworks

Preferred Experience

Working with Dataverse and Power Platform ALM and governance models
Implementing observability using Azure Monitor and Application Insights
Familiarity with Agent Factory or similar agent operationalization frameworks
Experience operating within regulated or enterprise compliance environments

Soft Skills

Strong problem‑solving and debugging capabilities
Ability to collaborate effectively with cross‑functional teams, including CSAs, architects, and governance leads
Clear and confident communication with both technical and non‑technical stakeholders

Education & Certifications

Bachelor's degree in Computer Science, Engineering, or a related field
Microsoft certifications in Power Platform, Azure AI, or Copilot Studio are preferred

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