Required Skills & Experience
- Demonstrated hands-on experience building and deploying Microsoft Copilot Studio agents beyond basic demonstrations or FAQ bots.
- Strong proficiency with Microsoft Power Platform, Power Automate, Dataverse, and Microsoft 365 integrations.
- Experience developing enterprise applications, APIs, custom integrations, or supporting services.
- Strong development skills in at least one of the following: Python, C#/.NET, or TypeScript/JavaScript.
- Experience with REST APIs, JSON, Microsoft Graph, and enterprise authentication using Microsoft Entra ID and OAuth.
- Experience deploying applications or Power Platform solutions using structured ALM, source control, and CI/CD practices.
- Ability to troubleshoot agent orchestration, tool execution, data retrieval, permissions, integrations, and production failures.
- Understanding of AI agent architectures, LLM capabilities, tool calling, retrieval, and responsible AI practices.
- Ability to independently deliver solutions from initial requirements through production deployment.
Nice to Have Skills & Experience
- Hands-on experience with Microsoft Foundry Agent Service, Microsoft Agent Framework, and Azure OpenAI.
- Experience developing MCP servers, custom agent tools, and agent-to-agent integrations.
- Familiarity with Azure AI Search, RAG, enterprise knowledge retrieval, and grounding strategies.
- Experience with ServiceNow, Oracle Fusion, or other enterprise business systems.
- Experience with Azure Functions, Container Apps, API Management, and Azure Key Vault.
- Experience with multi-agent architecture, agent evaluations, tracing, observability, and performance optimization.
- Knowledge of Microsoft Purview, DLP, managed identities, and enterprise security governance.
- Experience designing scalable, reusable automation solutions across multiple business departments.
- Familiarity with AI consumption models, token economics, and cost optimization.
Job Description
Invited Clubs is seeking a highly technical, hands-on AI Agent Developer / Engineer to design, develop, integrate, deploy, and support enterprise AI agents and intelligent automation solutions. This individual will be a core contributor to our AI Factory, translating business challenges into scalable, secure, production-ready solutions using Microsoft Copilot Studio, Microsoft Foundry, Power Platform, Azure, APIs, and enterprise integrations. We are looking for an engineer who builds solutions, not just designs them. The ideal candidate can independently evaluate business requirements, select the appropriate technology, implement integrations, develop and test solutions, and deploy them into governed enterprise environments. Equally important is sound engineering judgment: understanding when AI is appropriate and when traditional automation, native platform functionality, or custom development provides a simpler and more cost-effective solution.
Key Responsibilities
AI Agent Development
- Design, build, test, deploy, and maintain production agents using Microsoft Copilot Studio.
- Develop conversational assistants, intelligent intake solutions, knowledge agents, workflow agents, and business-process automation.
- Configure agent instructions, generative orchestration, topics, knowledge sources, tools, actions, authentication, and agent flows.
- Develop advanced AI agents and custom services using Microsoft Foundry Agent Service and appropriate development frameworks.
- Implement tool calling, MCP integrations, multi-step workflows, and agent orchestration when requirements justify them.
- Develop reusable components and patterns to accelerate enterprise AI delivery. Enterprise Integration & Custom Development
- Develop and integrate REST APIs, custom connectors, webhooks, and MCP tools.
- Build supporting services using Python, C#/.NET, or TypeScript/JavaScript.
- Integrate with platforms such as ServiceNow, Oracle, Microsoft Graph, SharePoint, Teams, Dataverse, and other enterprise applications.
- Implement secure authentication and authorization using Microsoft Entra ID, OAuth 2.0, managed identities, and service principals.
- Work with Azure Functions, Azure App Service, Container Apps, API Management, and other Azure services where appropriate. Automation & Workflow Engineering
- Build Power Automate workflows, agent flows, approvals, and business-process automations.
- Separate deterministic business logic from AI-based reasoning.
- Develop exception handling, retries, monitoring, escalation paths, and human-in-the-loop processes.
- Evaluate existing system capabilities before implementing custom solutions.
- Optimize automation for reliability, maintainability, performance, and cost. Application Lifecycle & Production Engineering
- Develop solutions within governed DEV, TEST, and PROD environments.
- Implement Power Platform solutions, deployment pipelines, environment variables, connection references, and managed solutions.
- Use Git, source control, CI/CD, and enterprise release-management practices.
- Implement security controls, DLP policies, access restrictions, and production governance requirements.
- Perform technical troubleshooting, agent evaluations, regression testing, and production support.
- Monitor agent reliability, performance, operational costs, and consumption. Solution Engineering & Technical Ownership
- Collaborate directly with business stakeholders to understand processes, requirements, and expected outcomes.
- Translate loosely defined business problems into practical technical solutions.
- Evaluate Copilot Studio, Microsoft Foundry, Power Automate, native enterprise capabilities, and custom code to determine the most appropriate approach.
- Own assigned solutions through design, development, integration, testing, deployment, and ongoing improvement.
- Document technical designs, integrations, dependencies, and operational support requirements.
- Deliver measurable business value through automation, improved productivity, reduced manual effort, and operational efficiencies.