Microsoft Copilot Agent Developer

Agent Development

• Design and develop Microsoft 365 Copilot agents using Copilot Studio and Microsoft 365 extensibility frameworks.
• Build conversational AI experiences, agent instructions, orchestration logic, custom topics, and fallback/escalation flows.
• Configure knowledge sources such as SharePoint, Microsoft 365 content repositories, Dataverse, and enterprise systems.
• Implement prompt engineering and grounding strategies for accurate, contextual, and role-appropriate responses.

Integration & Automation

• Integrate agents with enterprise applications using Microsoft Graph, REST APIs, Power Automate, Azure Functions, and custom connectors.
• Develop actions, plugins, and workflow automations that enable agents to perform business tasks across systems.
• Connect agents with business platforms such as ServiceNow, Salesforce, SAP, Jira, and internal applications where required.

AI Solution Engineering

• Design agentic AI solutions for knowledge management, IT support, HR assistance, SDLC productivity, project governance, customer service, and operational automation.
• Develop reusable agent frameworks, accelerators, templates, reusable prompts, and integration patterns.
• Continuously evaluate agent quality, response relevance, business value, adoption, and operational readiness.

Governance & Security

• Implement Responsible AI practices and support safe, transparent, and auditable AI behavior.
• Ensure compliance with security, privacy, access control, and enterprise governance standards.
• Support agent monitoring, lifecycle management, permission governance, and data protection policies.

Stakeholder Engagement

• Translate business requirements into AI agent solution designs and implementation backlogs.
• Conduct workshops, solution walkthroughs, demos, training sessions, and adoption support.
• Collaborate with solution architects, product owners, functional SMEs, security teams, and delivery teams.

Microsoft 365 Copilot, Copilot Studio, Microsoft 365 Agents, Power Platform, Microsoft Graph API, Azure AI Services, Azure OpenAI

Development

C#, Python, TypeScript / JavaScript, REST APIs, JSON, PowerShell

Integration

Graph Connectors, Custom Connectors, Azure Functions, Logic Apps, event-driven integration patterns

Data & Security

SharePoint Online, Dataverse, Microsoft Purview, Entra ID, access control, enterprise governance and compliance

AI Engineering

Prompt engineering, RAG patterns, LLM fundamentals, agentic AI design, reusable solution frameworks

Delivery & Consulting

Stakeholder workshops, use-case discovery, demos, training, Agile/Scrum delivery, business-value articulation

Preferred Skills

• Generative AI and LLM concepts, including prompt engineering, evaluation, RAG, and agentic AI architectures.
• Azure AI Foundry, GitHub Copilot, Microsoft 365 Agents SDK, and enterprise AI platform engineering exposure.
• Vector search concepts, knowledge indexing, semantic search, and data grounding patterns.
• Familiarity with Agile/Scrum delivery, DevOps practices, CI/CD, and enterprise release governance.
• Experience in BFSI, healthcare, telecom, or other regulated enterprise environments is a plus., * Bachelor’s or Master’s degree in Computer Science, Information Technology, Artificial Intelligence, or a related discipline.
• Microsoft certifications preferred: Copilot Studio, Power Platform, Azure AI Engineer Associate, Azure Developer Associate, or equivalent.