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About the role
Role & 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 - Strong Azure AI Engineer (Microsoft Azure AI / Azure OpenAI / Generative AI) Profiles - Mandatory (Experience 1) Must have 3+ years of overall experience in Cloud, Artificial Intelligence, Machine Learning, Generative AI, Applied AI Engineering, or Azure AI implementation roles. - Mandatory (Experience 2) Must have hands-on experience implementing Microsoft Azure AI Services, including Azure OpenAI, Azure AI Foundry, Azure AI Search, Azure AI Services, Azure ML, AI Agent Service, Speech, Vision, or Document Intelligence. - Mandatory (Experience 3) Must have strong experience in designing and deploying Generative AI applications using LLMs, Prompt Engineering, Retrieval-Augmented Generation (RAG), AI Agents, Agentic AI, and Vector Databases. - Mandatory (Experience 4) Must have strong hands-on expertise in Python, REST APIs, Azure SDKs, and AI development frameworks such as LangChain, Semantic Kernel, or equivalent frameworks. - Mandatory (Experience 5) Must have experience integrating Azure AI solutions with enterprise applications, APIs, databases, Microsoft 365, Power Platform, or other cloud-native services. - Mandatory (Experience 6) Must have hands-on experience with Azure cloud services such as App Services, Azure Functions, AKS (Azure Kubernetes Service), Container Apps, Storage, Key Vault, Azure Monitor, and Networking. - Mandatory (Experience 7) Must have experience in AI workload migration, cloud migration, API integrations, Identity & Access Management (IAM), Security & Compliance, or enterprise AI deployments. - Mandatory (Experience 8) Must have working knowledge of MLOps, CI/CD pipelines, GitHub, Azure DevOps, and production deployment of AI solutions. - Preferred (Certification) Microsoft Certified: Azure AI Engineer Associate (AI-102) or equivalent Microsoft Azure AI certification. - Preferred (Governance) Experience with Responsible AI, AI Governance, Security, Monitoring, Cost Optimization, and AI Operations. Perks, Benefits and Work Culture What We Offer - Market-competitive salary - Career Growth Opportunities - Learning & Development Programs - Collaborative Work Environment - Employee Benefits Compensation: 407,572.57 - 1,200,000.00 per year Application Question(s) - Which Azure AI services have you implemented in production - Which AI frameworks have you worked with - Are you serving any Notice period - What is your current CTC in LPA - What is your expected CTC in LPA (12) - What is your notice period in days (30) Experience: - overall: 3 years (Required) Work Location: In person .
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