Artificial Intelligence Engineer (Agra)

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 (positive 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 Apply on Kit Job: kitjob.in/job/4n70ec