AI Engineer

Mandatory Skills: Azure Exp with copilot / Studio, ML ops

AI Agent :
Role Overview
We are seeking a mid-level developer to design and implement agentic AI solutions using Microsoft Copilot Studio. This role focuses on building custom copilots, integrating enterprise knowledge sources, orchestrating multi-step agent workflows, connecting with Azure AI search and applying Application Lifecycle Management (ALM) best practices for scalable deployments.

Key Responsibilities
 

• Copilot Studio Development
• Build and configure custom copilots, topics, tools, and knowledge sources.
• Implement agent flows using Power Automate and custom APIs.
• Integrate connectors (prebuilt and custom) for enterprise systems (Dynamics, SAP, ServiceNow).
• Agentic Orchestration
• Apply orchestration patterns (task decomposition, multi-step flows, fallback/error handling).
• ALM & Governance
• Package copilots and flows into Solutions for dev/test/prod environments.
• Power Platform pipelines or Azure DevOps/GitHub for CI/CD.
• Manage environment variables, connection references, and Dataverse dependencies.
• Observability & Compliance
• Ensure data residency, DLP policies, and secure API authentication.

Preferred Qualifications (not mandatory):
 

• Azure AI Search Integration
• Design and implement hybrid/vector retrieval pipelines for enterprise RAG scenarios.
• Configure semantic index and secure knowledge grounding for copilots.
• Implement monitoring via Azure Application Insights and enforce Responsible AI principles.

Required Technical Skills
 

• Copilot Studio: Authoring topics, tools, connectors, and multi-channel deployment.
• Power Automate: Flow design, HTTP actions, Custom connectors, throttling/timeouts handling.
• Azure AI Search: Hybrid/vector retrieval, enrichment, reranking, and integration with copilots.
• ALM (Power Platform): Solutions, managed/unmanaged environments, CI/CD pipelines.
• Security & Governance: AAD/Entra authentication, environment variables, DLP policies.

Preferred Experience
 

• Working with Dataverse and Power Platform ALM and governance.
• Implementing observability (Azure Monitor, App Insights).
• Exposure to Responsible AI principles and enterprise compliance frameworks.
• Familiarity with Agent Factory or similar operationalization frameworks.

Soft Skills
 

• Strong problem-solving and debugging skills.
• Ability to collaborate with cross-functional teams (CSA, architects, governance leads).
• Clear communication for technical and non-technical stakeholders.

Education & Certifications
 

• Bachelor’s degree in Computer Science, Engineering, or related field.
• Microsoft certifications in Power Platform, Azure AI, or Copilot Studio (preferred).