Senior AI / ML Engineer - Generative AI & Azure

Responsibilities

• Design and develop end-to-end Generative AI applications using Azure OpenAI, Azure AI Foundry and Microsoft Copilot Studio
• Architect and implement RAG solutions, including document ingestion, chunking, embedding generation, vector indexing, retrieval, reranking and response orchestration
• Build agentic AI workflows that integrate enterprise knowledge, APIs, tools and business processes
• Develop secure, high-performance backend APIs and microservices using Python
• Integrate AI services with existing enterprise applications and backend platforms, including .NET/C# services where needed
• Containerize applications with Docker and deploy workloads to Azure Kubernetes Service (AKS), Azure App Services and Azure Functions
• Build and maintain automated CI/CD pipelines using GitHub Actions
• Work with data engineering teams to connect AI applications with data platforms such as Azure Data Factory, Azure Synapse and Databricks
• Implement vector storage, semantic search, caching and retrieval capabilities using Azure AI Search and related Azure services
• Participate in architecture reviews, code reviews and technical design discussions

Languages