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.
- Solid 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-102103)
- 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.

📌 AI/ML Engineer (Azure AI, Gen AI) (Bengaluru)
🏢 Relic Consultancy Services
📍 Bengaluru