Data / AI Engineer

Data / AI Engineer

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