Key Responsibilities 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.
Required Technical Skills Competency Area | Core Skills / Expectations | Microsoft AI Stack | 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.
Qualifications - 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.
- Strong communication skills with the ability to simplify technical concepts for business stakeholders.
Success Metrics - Production-grade Copilot agents delivered and adopted by business users.
- Improvement in user productivity, self-service resolution, knowledge discovery, or workflow automation outcomes.
- Reduction in manual effort and operational cycle time through agent-enabled automation.
- Agent quality, reliability, adoption, CSAT, escalation rate, and Responsible AI compliance.
- Reusable assets, patterns, and governance controls created for future agent implementations.
Ideal Profile for Enterprise Delivery / BFSI Context - The ideal candidate combines strong Microsoft AI engineering capability with enterprise integration experience, delivery discipline, governance awareness, and stakeholder-facing consulting skills. This profile is especially suitable for organizations building productivity agents, SDLC copilots, knowledge assistants, customer support agents, compliance assistants, and operational automation solutions using the Microsoft AI ecosystem.
Interview Focus Areas - Hands-on experience building Copilot Studio agents and integrating enterprise knowledge sources.
- Ability to design secure, permission-aware, and governed AI solutions.
- Understanding of Microsoft Graph, custom connectors, Power Automate, Azure Functions, and API integration.
- Practical prompt engineering, grounding, evaluation, and hallucination-reduction techniques.
- Ability to convert business processes into agent workflows and measurable success outcomes.
Reference Basis - This JD is aligned to Microsoft Copilot Studio guidance around cross-functional agent delivery roles and Microsoft 365 Copilot extensibility concepts including instructions, knowledge, actions, connectors, and enterprise-grade governance.
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