AI/ML Engineer (Azure AI, Gen AI)

Key Skills: AI/ML tools, Microsoft Azure AI, GenAI, Azure OpenAI, Azure Foundary, Azure AI Services, Enterprise AI Integrations

Roles & Responsibilities

We are looking for an Azure AI Engineer to join our AI & Data team. The ideal candidate will be responsible for deploying, migrating, implementing, and optimizing Microsoft Azure AI Services and Generative AI solutions. The candidate should have hands-on experience with Azure AI Foundry, Azure OpenAI, Azure AI Services, and enterprise AI integrations across cloud environments.

Key Responsibilities

Azure AI Deployment

• Deploy and configure Azure AI Services, Azure OpenAI, Azure AI Search, and Azure AI Foundry solutions.

AI Migration

• Migrate AI workloads, models, and AI applications from on-premises or other cloud platforms to Azure AI Services.

AI Solution Implementation

• Design and implement Generative AI, Conversational AI, Speech AI, Vision AI, and Document Intelligence solutions.

Integration & Automation

• Integrate Azure AI Services with enterprise applications, APIs, databases, Microsoft 365, and Power Platform. 

Operations & Optimization

• Monitor AI workloads, optimize performance, manage governance, security, and cost efficiency of Azure AI environments.

Ideal Candidate

Required Skills & Qualifications

• Hands-on experience with Azure OpenAI, Azure AI Foundry, AI Search, Speech, Vision, Document Intelligence, Content Safety, Azure ML, and AI Agent Service.


• Strong knowledge of Prompt Engineering, RAG, AI Agents, Agentic AI, Vector Databases, Python, REST APIs, Azure SDKs, LangChain, and Semantic Kernel.


• Experience with Azure App Services, Functions, AKS, Container Apps, Storage, Key Vault, Monitor, and Networking.


• Proven expertise in AI workload migration, data migration, API integrations, Identity & Access Management (IAM), and Security & Compliance.


• Familiarity with MLOps, CI/CD, GitHub, Azure DevOps, and enterprise-scale AI solution deployment and operations.

Preferred Qualifications

• Microsoft Certified: Azure AI Engineer Associate (AI-102\103)


• 3–4 years of cloud experience.


• 2 or more years of hands-on Azure AI Services implementation.


• Experience with Azure OpenAI, AI Foundry, AI Search, and enterprise AI


• deployments.


• Experience working on AI migration, PoC, PoV, and Production implementations.


• Strong understanding of Responsible AI, Security, Governance, and Cost Optimization.