Data / AI Engineer

About

Contract Term: 3 months, highly renewable

Work Location: remote work in Canada

Key skill - Data, Azure AI Foundry Architect, Agent Development Support

To act hand in hand with Foundry Architect + Agent Developer for a project

Should be able to understand and provide hands-on support. Should have deep knowledge of:

• Microsoft Azure AI Foundry - agent deployment, model endpoints, prompt flow, or custom orchestration
• Agentic orchestration frameworks: AutoGen, Semantic Kernel, or LangGraph in Azure ecosystem
• Should have developed and deployed agents within Azure and should be aware of dependencies, limitations and assumptions while designing the agentic ecosystem for the client
• RAG (Retrieval-Augmented Generation) pipeline design - vector stores, embedding strategies, index refresh
• Multi-step agent design: tool use, memory, retries, guardrails, kill-switch patterns

Experience with structuring data to make it usable to be consumed by Foundry agents

• Azure Data Factory, Azure Fabric, and Power BI - pipeline development and data model design
• Data normalization and schema design for multi-source ingestion (structured + unstructured)
• RAG infrastructure: document ingestion pipelines, chunking strategies, embedding generation
• Vector database integration: Azure AI Search, Pinecone, or equivalent
• Python for data pipeline scripting (pandas, Polars, data cleaning)
• Azure Lakehouse architecture: Delta Lake, Fabric pipelines, OneLake
• Data deduplication, quality validation, and lineage tracking
• Power BI dataset publishing and refresh automation
• SQL and data modelling for vulnerability/security data domains
• Azure Event Hub for streaming / real-time data pipelines