Senior Developer on Azure AI foundry

Key Responsibilities

• Design and develop generative AI solutions using Azure AI Foundry and Azure OpenAI.

• Build AI agents, copilots, conversational applications and retrieval-augmented generation solutions.

• Develop and integrate backend services, APIs and automation components using CoPilot stack.

• Integrate AI solutions with enterprise applications, databases, document repositories and business systems.

• Configure and use Azure AI Search, vector search, embeddings and document-processing services.

• Implement prompt engineering, model selection, model evaluation and response-quality testing.

• Develop orchestration workflows using Microsoft Agent Framework, Semantic Kernel or equivalent frameworks.

• Deploy AI workloads using Azure Functions, App Service, Container Apps, AKS or other suitable Azure services.

• Implement secure access using Microsoft Entra ID, managed identities, RBAC and Azure Key Vault.

• Establish CI/CD pipelines using Azure DevOps or GitHub Actions.

• Implement monitoring, logging, tracing, content safety and responsible AI controls.

• Support performance optimization, cost management, troubleshooting and production readiness.

• Produce technical documentation, deployment guides and knowledge-transfer materials.

Required Skills and Experience

• Practical experience designing and developing solutions on Microsoft Azure.

• Hands-on experience with Azure AI Foundry, Azure OpenAI or equivalent generative AI platforms.

• Strong Microsoft stack using PowerPlatform development experience for AI applications, integrations and automation.

• Experience building REST APIs and integrating cloud services and enterprise applications.

• Understanding of large language models, prompt engineering, embeddings, vector databases and retrieval-augmented generation.

• Experience with Azure AI Search, Azure Storage and relevant Azure application services.

• Familiarity with containerization, Git-based development and CI/CD practices.

• Understanding of Azure security, networking, identity and access-management principles.

• Strong troubleshooting, documentation and stakeholder-communication skills.

Desirable Skills

• Experience with Microsoft Agent Framework, Semantic Kernel, LangChain or LangGraph.

• Experience with Java, C#, .NET, IBM WebMethods for integration with enterprise applications.

• Experience with Azure AI Components namely Azure Machine Learning, Document Intelligence, Cosmos DB or Microsoft Fabric.

• Knowledge of model evaluation, observability, responsible AI and AI governance.

• Experience deploying workloads on Azure Kubernetes Service or Azure Container Apps.

• Familiarity with DevOps, MLOps and LLMOps practices.

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