JD : Azure AI EngineerPosition Title:Azure AI EngineerLocation:NoidaStart Date:Immediate JoinerEmployment Type:Staff AugmentationExperience Required:69 years total IT experience, with strong hands-on experience across Azure cloud services and Azure AI platformsJob Summary:We are looking for an experienced Azure AI Engineer who can design, build, and operate AI-driven applications on Microsoft Azure. The role requires end-to-end understanding of Azure, not limited to AI services, but also covering infrastructure, security, integration, storage, and application runtime required to run GenAI and AI-driven workloads in production.The candidate will work closely with UI/UX engineers, Azure infrastructure automation engineers, and solution architects to enable AI use cases on Azure using managed Azure services. This role is critical in selecting appropriate Azure services, designing solution patterns, and guiding implementation of AI use cases in a scalable, secure, and cloud-native manner.Key Responsibilities:Design and implement AI-driven application workflows using Azure-managed servicesEnable and integrate Azure AI capabilities into web and backend applicationsGuide usage of Azure-hosted foundation models and AI platforms for application use casesWork closely with infrastructure automation engineers to ensure AI services are provisioned securely and correctlySupport application teams with best practices for invoking AI services, handling prompts, responses, and data flowsDesign end-to-end solution architectures including AI services, APIs, storage, security, and monitoringEnsure responsible AI usage, governance, and compliance aligned with enterprise standardsAssist in PoCs, pilot implementations, and technical documentationProvide technical inputs for architecture decisions, cost optimization, and performance tuningCollaborate with architects and stakeholders to translate business use cases into Azure-based AI solutionsMust-to-Have:6+ years of IT experience with 35+ years on Microsoft AzureStrong hands-on experience with Azure AI services, including:Azure OpenAI / Azure AI FoundryAzure AI Studio / Azure Cognitive ServicesSolid understanding of Azure core services, including:Azure App Services, Azure FunctionsAzure Kubernetes Service (AKS) or container-based runtimesAzure API ManagementAzure Storage (Blob, Files, Tables)Azure Key Vault, Managed IdentitiesAzure Monitor, Log Analytics, Application InsightsExperience integrating AI services into web or backend applications via REST APIs or SDKsUnderstanding of cloud security concepts: identity, access control, secrets managementAbility to design scalable, secure, and production-ready AI solutions on AzureStrong communication skills to work with cross-functional teams (infra, UI, architects)Good-to-Have:Experience with IaC tools such as Bicep, ARM templates, or Terraform (conceptual or hands-on)Familiarity with CI/CD pipelines on Azure DevOps or GitHub ActionsExposure to data platforms like Azure SQL, Cosmos DB, Azure Data Factory, or SynapseKnowledge of prompt engineering, embeddings, vector search, or retrieval-based patternsAzure certifications such as:Azure AI Engineer AssociateAzure Solutions Architect ExpertExperience working on PoCs, accelerators, or reusable frameworks on AzureEducational Qualification:Bachelors or Masters degree in Computer Science, Information Technology, Engineering, or a related field. Relevant Azure certifications are a strong plus
