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

Work arrangement
Hybrid