Azure GenAI Engineer

Azure GenAI Engineer San Antonio, TX

• Remote Responsibilities Design and build end-to-end solutions using Azure OpenAI Service and Copilot-based architectures Leverage Azure AI services (Cognitive Services, Azure ML) to integrate LLMs into enterprise systems Build data pipelines using Databricks and Azure Data Factory Implement Azure Cognitive Search to combine structured and unstructured data (e.g., SharePoint, documents) Develop secure Retrieval-Augmented Generation (RAG) solutions for enterprise content Deliver AI proofs of concept in ~60 days using agile, use-case-driven approaches Run intake sessions to evaluate and prioritize AI use cases by business value Build LLM-powered workflows integrated with Power Automate and Microsoft 365 Orchestrate AI agents and pipelines while ensuring security, governance, and compliance Act as a self-sufficient contributor across architecture, development, testing, and light DevOps Collaborate closely with business and technical stakeholders and clearly explain outcomes Requirements Proven experience delivering Azure-based Generative AI solutions end to end Strong hands-on expertise with LLMs, RAG patterns, and enterprise data integration Experience with Databricks, Azure Data Factory, Azure Cognitive Search Understanding of AI security, compliance, and data governance best practices Excellent communication skills with the ability to translate business needs into technical solutions