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 Strong Python, SQL, communication, and CI/CD skills Apply your Azure, Databricks, LLMOps, and MLOps expertise to reliable, governed production AI engineering.
#J-18808-Ljbffr
