AI Agent Engineer | Microsoft Copilot Studio

Lumen Resources; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Lumen Resources is seeking a hands-on AI Agent Engineer to design, develop, and deploy enterprise AI agents and intelligent automation solutions. This role blends Microsoft Copilot Studio, Power Platform, Azure AI services, and custom development to deliver scalable, secure, production-ready solutions.

The ideal candidate owns solutions from design through deployment and ongoing optimization, building reusable components and integrating with enterprise systems and data sources.

Qualifications

• Hands-on experience building and deploying production AI agents.
• Proficient with Microsoft Power Platform and Copilot Studio.
• Experience with REST APIs, integrations, and enterprise apps.
• Familiarity with Azure services and enterprise auth (OAuth, Entra ID).
• Understanding of LLMs, agent architectures, and responsible AI practices.

Responsibilities

• Design, build, test, and deploy production-ready AI agents.
• Develop intelligent assistants, knowledge agents, and workflow automations.
• Lead end-to-end solution delivery from design to deployment.
• Implement secure auth and governance for AI solutions.
• Establish CI/CD pipelines and ALM practices for agents.

Skills

Copilot Studio

Power Platform

Azure AI services

REST APIs

CI/CD

OAuth authentication

Agent orchestration

Secure production systems

Tools

Microsoft Copilot Studio

Power Automate

Dataverse

Microsoft Graph

Entra ID

OAuth 2.0

Git

Job description

We are seeking a hands-on AI Agent Engineer to design, develop, and deploy enterprise AI agents and intelligent automation solutions. This role combines Microsoft Copilot Studio, Power Platform, Azure AI services, and custom development to deliver scalable, secure, production-ready solutions.

The ideal candidate has experience building AI agents beyond basic chatbots and can independently own solutions from initial design through deployment and ongoing optimization.

Key Responsibilities

AI Agent Development

• Design, build, test, and deploy production-ready AI agents using Microsoft Copilot Studio.
• Develop intelligent assistants, knowledge agents, and workflow automation solutions.
• Leverage Microsoft Foundry Agent Service, tool calling, MCP integrations, and agent orchestration for advanced use cases.
• Build reusable components and frameworks to support scalable AI development.
• Integrate AI agents with enterprise applications, data sources, and internal systems.
• Build automated workflows using Power Automate, agent flows, and appropriate custom development.
• Implement secure authentication and authorization using Microsoft Entra ID and OAuth 2.0.

Deployment, Security & Optimization

• Manage solutions through development, testing, deployment, and production support.
• Implement CI/CD pipelines, source control, and application lifecycle management (ALM) practices.
• Apply enterprise security, governance, and data protection standards.
• Troubleshoot agent performance, integrations, orchestration, and production issues.
• Monitor and optimize reliability, scalability, performance, and cost.

Solution Engineering

• Partner with business and technical stakeholders to translate requirements into practical AI solutions.
• Evaluate available platforms, automation tools, and custom development approaches to determine the best technical solution.
• Own end-to-end solution delivery, documentation, and continuous improvement.
• Deliver measurable improvements in productivity, operational efficiency, and business processes.

Required Qualifications

• Proven hands-on experience developing and deploying production AI agents using Microsoft Copilot Studio.
• Strong experience with Microsoft Power Platform, Power Automate, Dataverse, and Microsoft 365 integrations.
• Experience developing REST APIs, custom integrations, and enterprise applications.
• Familiarity with Microsoft Azure services, Microsoft Graph, Microsoft Entra ID, and OAuth authentication.
• Experience with Git, CI/CD, application lifecycle management, and enterprise deployment practices.
• Understanding of LLMs, AI agent architectures, tool calling, retrieval, and responsible AI practices.
• Strong troubleshooting skills and the ability to independently deliver secure, production-ready solutions.
• Ability to collaborate effectively with technical teams and business stakeholders.