Build production generative AI solutions with Azure AI Foundry, Azure OpenAI Service, and Databricks for a leading financial services institution.
As an AI Engineer, you will move generative AI and machine learning use cases from prototype to production. Your work will support reliability, monitoring, governance, and secure delivery in a regulated enterprise. You will also apply Python, SQL, LLMOps, and MLOps across enterprise solutions.

Key Responsibilities

Design and deploy RAG patterns, agents, prompt flows, and evaluationsRun LLMOps practices for versioning, guardrails, safety, and monitoringBuild MLOps pipelines for training, deployment, retraining,



and drift detectionPartner with stakeholders and risk teams on compliant solutionsApply explainability, privacy, audit, and responsible AI practicesRequirements:
Five-plus years in software, data, or machine learning engineeringTwo-plus years delivering generative AI or LLM solutionsHands-on Azure AI Foundry and Azure OpenAI Service experiencePractical Databricks, MLflow, Unity Catalog, and Genie experienceStrong Python, SQL, communication, and CI/CD skillsApply your Azure, Databricks, LLMOps, and MLOps expertise to reliable, governed production AI engineering.
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📌 Azure Generative Ai Engineer (Winnipeg)
🏢 Fortiv Technical
📍 Winnipeg