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 settings.

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.
Robust 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

📌 Ai/ml Engineer Bengaluru
🏢 Relic Consultancy Services
📍 Bengaluru