Experience with Python for AI, Azure AI Foundry, Azure Machine Learning, Cognitive Search, and Azure OpenAI are a plus; Experience implementing CI/CD pipelines using Azure DevOps and/or GitHub; Experience with Infrastructure as Code methodologies and tools; Strong understanding of software architecture, security, and application lifecycle management; Excellent problem-solving, communication, and collaboration skills; Experience building enterprise AI applications using LLMs, copilots, chatbots, RAG architectures, and vector search technologies is a plus; Experience with Azure Data Factory, Synapse Analytics, Microsoft Fabric, or related data platforms is a plus; Experience with Docker, Kubernetes, and microservices architectures is a plus; Familiarity with healthcare technology systems and workflows is a plus; Experience working within regulated or compliance-focused environments is a plus; Related Microsoft Certifications (e.g., Azure Solutions Architect Expert, Azure Solutions Architect Expert, Azure AI Engineer Associate, Azure DevOps Engineer Expert, and Azure Developer Associate) is a plus. AI Solution Development Designing, building, and deploying AI-powered applications using Azure AI Services, Azure OpenAI, Cognitive Services, Azure Machine Learning, and related technologies; Developing intelligent solutions leveraging large language models (LLMs), Retrieval- Augmented Generation (RAG), prompt engineering, semantic search, and vector databases; Evaluating emerging AI technologies and recommending innovative approaches to solve business challenges; Collaborating with business users to identify AI use cases and transforming requirements into scalable technical solutions.