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 evaluations
- Run LLMOps practices for versioning, guardrails, safety, and monitoring
- Build MLOps pipelines for training, deployment, retraining, and drift detection
- Partner with stakeholders and risk teams on compliant solutions




- Apply explainability, privacy, audit, and responsible AI practices

Requirements:

- Five-plus years in software, data, or machine learning engineering
- Two-plus years delivering generative AI or LLM solutions
- Hands-on Azure AI Foundry and Azure OpenAI Service experience
- Practical Databricks, MLflow, Unity Catalog, and Genie experience
- Solid Python, SQL, communication, and CI/CD skills

Apply your Azure, Databricks, LLMOps, and MLOps expertise to reliable, governed production AI engineering.

📌 Azure Generative AI Engineer (Toronto)
🏢 Fortiv Technical
📍 Toronto