Lead Generative AI engineering on Microsoft Azure, combining Python and LLM expertise to deliver secure, production-ready enterprise solutions.This hands-on AI Engineer Lead guides end-to-end engineering from design through deployment. You will build GenAI, RAG, and Agentic AI solutions using Microsoft Foundry, Azure OpenAI, and Azure AI Search. The work translates architecture into executable tasks while supporting production readiness.Key Responsibilities:

Lead AI engineering through design, testing, and production deploymentBuild LLM, RAG, and Agentic AI solutions on AzureDevelop chunking, embeddings, retrieval, reranking, and grounding pipelinesLead reviews, troubleshoot issues,



and ensure production readinessMentor engineers and coordinate with architecture, product, data, cloud, security teamsRequirements:

8+ years of software engineering or application development experience3+ years of Azure or cloud-native development experienceHands-on GenAI, LLM, RAG, and Agentic AI deliveryExperience leading teams from PoC to enterprise productionPython, REST APIs, prompt engineering, and embeddings experienceApply your Azure, Python, LLM, and RAG expertise to lead enterprise Generative AI engineering from architecture through production.

📌 Lead Generative Ai Engineer Azure (Winnipeg)
🏢 Cloudious
📍 Winnipeg