AI Engineering lead - MS Dynamics 365 Apps

Key Responsibilities :

Solution Architecture & Design :

- Define end-to-end solution architecture, integration strategies, and technical roadmaps.

- Lead architecture discussions with stakeholders and provide technology recommendations aligned with business goals.

- Ensure solutions are scalable, secure, high-performing, and aligned with Microsoft best practices.

Dynamics 365 Expertise :

1. Dynamics 365 Customer Engagement (CE) Applications

2. Dynamics 365 Finance & Supply Chain Management

- Lead implementation, customization, and optimization initiatives across Dynamics 365 modules.

- Drive platform modernization and digital transformation programs.

Azure Integration & Development :

1. Azure Integration Services (iPaaS)

2. Azure Functions

3. Logic Apps

4. Service Bus

5. API Management

6. Event Grid

- Develop platform extensions using :

1. Power Apps

2. X++

3. C#.NET

4. Custom Azure-based applications

AI & Copilot Solutions :

- Build intelligent automation and conversational AI solutions for real-world business scenarios.

- Implement AI-driven business use cases leveraging :

1. Azure Cognitive Services

2. Azure AI Search

3. Azure Document Intelligence

4. Content Understanding

5. Vision AI

6. Speech & Language Services

7. Azure AI Foundry Tools

- Evaluate and recommend appropriate Large Language Models (LLMs) for various enterprise use cases.

- Develop and deploy custom AI-powered applications integrated with Dynamics 365 platforms.

Leadership & Collaboration :

managers.

- Mentor technical teams and guide developers on architecture standards and best practices.

- Participate in technical governance, solution reviews, and architecture validation processes.

- Engage with customers and stakeholders to gather requirements and translate them into technical

solutions.

Required Skills & Qualifications :

Technical Expertise :

- Expertise in either :

1. Dynamics 365 CE Apps

2. Dynamics 365 Finance & Supply Chain

- Strong understanding of Azure cloud ecosystem and integration services.

- Experience with Power Platform, custom application development, and enterprise integrations.

- Hands-on experience with Copilot Studio and AI solution delivery.

- Good understanding of Generative AI concepts and enterprise AI implementation strategies.

- Experience with Azure AI services and modern AI architecture patterns.

- Strong knowledge of APIs, microservices, cloud-native architecture, and enterprise security practices.

Development Skills :

1. C#.NET

2. X++

3. Power Platform

4. Azure Services

5. REST APIs

6. Integration frameworks

Soft Skills :

- Strong analytical and problem-solving abilities.

- Ability to work in fast-paced enterprise environments.

- Strong leadership and mentoring capabilities.

Educational Qualification :

Preferred Qualifications :

- Microsoft Azure Certifications

- AI / Copilot / Power Platform Certifications

- Experience working on large-scale enterprise transformation projects

- Exposure to Agile/Scrum methodologies.