Softcom Systems Inc
Azure Agent AI Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Agent AI Engineer on a remote contract for a duration of "X" months, with a pay rate of $80.00 - $85.00 per hour. Key skills include Azure Copilot Studio, ML Ops, and Power Automate. A Bachelor's degree in Computer Science or related field is required, along with preferred Microsoft certifications.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
680
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🗓️ - Date
January 14, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Remote
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🧠 - Skills detailed
#Monitoring #Scala #GitHub #Dataverse #Security #DevOps #Computer Science #MS Dynamics #Compliance #SAP #Power Automate #ML (Machine Learning) #Azure DevOps #AI (Artificial Intelligence) #API (Application Programming Interface) #Azure #ML Ops (Machine Learning Operations) #Observability #Debugging #Deployment
Role description
Position: Azure Agent AI EngineerLocation: RemoteDuration: Contract
Mandatory Skills: Azure Exp with copilot / Studio, ML ops
Job Description: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).
Job Type: Contract
Pay: $80.00 - $85.00 per hour
Expected hours: 40 per week
Work Location: Remote
Position: Azure Agent AI EngineerLocation: RemoteDuration: Contract
Mandatory Skills: Azure Exp with copilot / Studio, ML ops
Job Description: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).
Job Type: Contract
Pay: $80.00 - $85.00 per hour
Expected hours: 40 per week
Work Location: Remote
