Description

Design and implement end-to-end cloud architectures and generative AI solutions on Microsoft Azure.

This role is on-site.

Responsibilities

• Architect scalable data and AI platforms using Azure ML, Databricks, and Azure OpenAI Service.
• Build generative AI solutions including RAG architectures, vector databases, semantic search, and LLM orchestration.
• Design secure, enterprise-grade solutions leveraging Azure Key Vault, ACR, and Microsoft Entra ID.
• Lead containerization and orchestration initiatives using Docker, Kubernetes, and AKS.
• Provide technical leadership for architecture reviews, performance tuning, CI/CD enablement, and cost optimization.

Required Skills

• 7+ years of experience in cloud architecture, solution design, or data engineering.
• Strong expertise in Microsoft Azure services, including Blob Storage, ADLS, Functions, App Services, and SQL Database.
• Hands-on experience with Azure OpenAI, Large Language Models (LLMs), and RAG frameworks.
• Proficiency in containerization and orchestration: Docker, Kubernetes, and Azure Kubernetes Service (AKS).
• Experience building scalable data platforms using Azure Databricks and Azure Machine Learning.
• Experience implementing CI/CD pipelines using Azure DevOps, GitHub Actions, or related tooling.
• Strong knowledge of cloud security, governance, networking, and identity management.
• Bachelor's degree in a relevant field.

Preferred Skills

• Microsoft Azure Certifications (Azure Solutions Architect Expert, Azure AI Engineer Associate).
• Exposure to MLOps, LLMOps, and AI governance frameworks.
• Experience with vector databases, Azure AI Search, and enterprise AI transformation initiatives.

Key Skills

Education

Bachelor's degree