Azure AI Engineer

JD : Azure AI Engineer

Position Title:

Azure AI Engineer

Location:

Noida

Start Date:

Immediate Joiner

Employment Type:

Staff Augmentation

Experience Required:

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

Job Summary:

We are looking for an experiencedAzure AI Engineerwho can design build and operate AI-driven applications on Microsoft Azure. The role requiresend-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 services

Enable and integrate Azure AI capabilities into web and backend applications

Guide usage of Azure-hosted foundation models and AI platforms for application use cases

Work closely with infrastructure automation engineers to ensure AI services are provisioned securely and correctly

Support application teams with best practices for invoking AI services handling prompts responses and data flows

Design end-to-end solution architectures including AI services APIs storage security and monitoring

Ensure responsible AI usage governance and compliance aligned with enterprise standards

Assist in PoCs pilot implementations and technical documentation

Provide technical inputs for architecture decisions cost optimization and performance tuning

Collaborate with architects and stakeholders to translate business use cases into Azure-based AI solutions

Must-to-Have:

6 years of IT experience with 35 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 withIaC toolssuch as Bicep ARM templates or Terraform (conceptual or hands-on)

Familiarity withCI/CD pipelineson Azure DevOps or GitHub Actions

Exposure todata platformslike Azure SQL Cosmos DB Azure Data Factory or Synapse

Knowledge 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