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Job Type

Contractual

Job Description

Skills:

Microsoft Azure, azure ai, Azure Synapse, Deep Learning, Machine Learning Operations, SQL, Natural Language Processing,

JD : Azure AI Engineer

Position Title

Azure AI Engineer

Location:

Noida

Start Date

Immediate Joiner

Employment Type

Staff Augmentation

Experience Required

6-9 years total IT experience, with strong hands-on experience across Azure cloud services and Azure AI platforms

Job 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 solutions

Must-to-Have

6+ years of IT experience with 3-5+ years on Microsoft Azure

Strong Hands-on Experience With Azure AI Services, Including

  • Azure OpenAI / Azure AI Foundry
  • Azure AI Studio / Azure Cognitive Services

Solid Understanding Of Azure Core Services, Including

  • Azure App Services, Azure Functions
  • Azure Kubernetes Service (AKS) or container-based runtimes
  • Azure API Management
  • Azure Storage (Blob, Files, Tables)
  • Azure Key Vault, Managed Identities
  • Azure Monitor, Log Analytics, Application Insights

Experience integrating AI services into web or backend applications via REST APIs or SDKs

Understanding of cloud security concepts: identity, access control, secrets management

Ability to design scalable, secure, and production-ready AI solutions on Azure

Strong 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 patterns

Azure Certifications Such As

  • Azure AI Engineer Associate
  • Azure Solutions Architect Expert
Experience working on PoCs, accelerators, or reusable frameworks on Azure

Educational Qualification

Bachelors or Masters degree in Computer Science, Information Technology, Engineering, or a related field. Relevant Azure certifications are a strong plus

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