Artificial Intelligence Engineer

Role Overview Design, develop, and deploy Agentic AI solutions leveraging Microsoft Power Platform and Azure services. The role involves building autonomous workflows, AI-powered automation pipelines, and scalable backend integrations using Python and cloud-native services.

Must-Have Skills 1. Power Automate (Advanced Level) Design and implement complex cloud flows and automated workflows Experience with: HTTP connectors (REST API integration) Custom connectors Error handling & retry policies Environment strategy and governance Integration with SharePoint, Dataverse, ServiceNow, Azure services, etc. Implement AI-driven orchestration using Power Automate as an agent workflow layer

2. Azure Databricks (Python) Strong proficiency in Python Experience with: PySpark Data transformation & ETL pipelines Delta Lake architecture (Bronze/Silver/Gold layers) Building AI/ML-ready data pipelines Working with structured and unstructured datasets Experience in embedding generation / vectorization (good advantage for Agentic AI)

3. Azure Function App Develop serverless APIs using: Python or C# Implement: Event-driven architectures Durable functions (if applicable) HTTP-triggered AI orchestration endpoints Integration with: Power Automate Dataverse Azure Storage / ADLS Secure authentication (Managed Identity, OAuth2, App Registrations)

Good-to-Have Skills Copilot Studio Designing conversational agents Building: Custom topics Generative answers API-based actions Understanding: Copilot extensibility Custom connectors Governance & environment strategy

Agentic AI-Specific Competencies (Highly Preferred) Understanding of: Multi-agent orchestration Tool usage patterns Retrieval-Augmented Generation (RAG) API orchestration between AI services Prompt engineering fundamentals Vector database concepts (Azure AI Search preferred) AI workflow monitoring & observability