Live opening · Posted 11 days ago
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Description supplied by the original job listing.
Seeking an experienced Azure Cloud Platform Engineer with strong expertise in Azure AI Foundry, generative AI, LLMs, Python, and Azure DevOps. The role involves building, deploying, and supporting enterprise-grade AI applications on Microsoft Azure.
Responsibilities:
Design and deploy generative AI/LLM solutions using Azure AI Foundry and Azure OpenAI.
Build RAG architectures using Azure AI Search, Vector/Semantic Search, and embeddings.
Develop backend services and REST APIs using Python and FastAPI/Flask.
Deploy containerized applications using Docker and AKS.
Build CI/CD pipelines with Azure DevOps, GitHub Actions, and YAML.
Automate infrastructure using Terraform, Bicep, and IaC.
Implement security using Entra ID, OAuth 2.0 RBAC, Managed Identity, and Key Vault.
Monitor and optimize solutions using Azure Monitor, Log Analytics, and Application Insights.
Follow Responsible AI, Content Safety, and enterprise governance standards.
Collaborate with architects, developers, DevOps teams, and global stakeholders.
Requirements:
Azure: Azure AI Foundry, Azure OpenAI, App Service, Functions, AKS, Container Apps, Storage, API Management, Key Vault, Monitor, Application Insights, VNet, Entra ID.
Generative AI: GPT-4 x/GPT-4o, Prompt Flow, AI Agents, Model Catalog, Prompt Engineering, AI Evaluation, Function/Tool Calling, Embeddings, RAG, Azure AI Search, Vector and Semantic Search.
Programming: Python (Mandatory), FastAPI/Flask, REST APIs, JSON, PowerShell/Bash.
DevOps and Infrastructure: Docker, Kubernetes/AKS, Azure DevOps, GitHub Actions, YAML, Terraform, and Bicep. ARM Templates are a plus.
Security and Monitoring: RBAC, Entra ID, OAuth 2.0 Managed Identity, Key Vault, Secrets Management, Azure Monitor, Log Analytics, and Application Insights.
Preferred Qualifications:
Enterprise-scale generative AI solution development on Azure.
Strong LLM architecture and prompt engineering knowledge.
Hands-on Azure AI Search/vector database experience.
Strong Azure security and cloud-native development practices.
Experience with DevOps, IaC, and cloud automation.
Relevant Microsoft Azure certifications (AI, Developer, DevOps, or Solutions Architect) preferred.
Experience
6-10 yrs
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