Azure GenAI Engineer - Remote

Kforce has a client in San Antonio, TX that is seeking a hands-on Azure GenAI Engineer to design, build, and deliver enterprise Generative AI solutions on Microsoft Azure. This role focuses on rapid prototyping, secure LLM integration, and delivering high-impact AI use cases from concept through production. 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
• 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