Dataverse
Power Platform (Power Apps, Power Automate, Power BI)
Plugins, Custom Workflows, Custom APIs
REST APIs and Web Services
Solution Management and ALM
Functional Knowledge
Deep understanding of Dynamics 365 modules such as:
Customer Service
Agentic AI Technical Skills
Agent Development
- Agentic AI Architecture
- Agent Lifecycle Management & Monitoring
CRM + AI
- Dynamics 365 Customer Service Copilot
- Prompt Engineering
Knowledge Grounding
- RAG (Retrieval-Augmented Generation)
- Vector & Semantic Search
- Enterprise Knowledge Management
Integration & Automation
- Azure Functions
- Logic Apps
- Define end-to-end solution architecture for Microsoft Dynamics 365 and Power Platform implementations.
- Collaborate with business stakeholders to translate requirements into scalable, secure, and maintainable solutions.
- Provide technical leadership to development teams and review solution designs, customizations, integrations, and code.
- Design and oversee integrations with enterprise systems using Azure services, APIs, and middleware platforms.
- Establish architecture standards, governance processes, and best practices for CRM delivery.
- Lead data migration, security, performance optimization, and application lifecycle management activities.
- Identify technical risks, recommend mitigation strategies, and support successful project delivery.
- Mentor technical teams and promote innovation through Power Platform, AI, and Microsoft Copilot capabilities.
Agentic AI Responsibilities
- Define and execute the AI strategy for Dynamics 365 and Power Platform solutions.
- Architect and implement AI agents using Copilot Studio, Dynamics 365 Copilot, and Azure OpenAI.
- Deliver AI-driven automation solutions targeting measurable improvements in productivity, customer experience, and operational efficiency.
- Lead AI innovation initiatives, PoCs, and enterprise-scale deployments.
- Establish governance, security, and Responsible AI standards for all AI solutions.
- Mentor teams on agentic AI architecture, prompting strategies, and AI best practices.
- Drive adoption of AI capabilities with measurable business outcomes, including reduced manual effort, faster case resolution, and improved user satisfaction.
Generic Managerial Skills, If any
- Leadership and team development
- Strategic thinking and decision-making
- Excellent communication and presentation skills
- Collaboration and cross-functional team leadership
- Innovation and continuous improvement mindset
- Strong ownership, governance, and accountability focus