Job Type: Contract

Job Category: IT

Job Description

Job title: Azure Platform Architect / Engineer (Gen AI & AI/ML Integration)

Job Summary:

We are seeking an experienced Azure Platform Architect / Engineer to design, implement, and manage scalable AI/ML cloud architectures. The ideal candidate will have expertise in Azure services, Gen AI integration, cross-cloud platform implementation, Infrastructure as Code (IaC), MLOps, security, and DevOps.

Key Responsibilities:

Azure Platform Architecture

·         Design and implement scalable, secure, and cost-effective AI/ML architectures using Azure.

·         Utilize Azure Kubernetes Service (AKS), Azure Functions, and Azure Logic Apps for server less and container-based AI/ML applications.

·         Implement data pipelines and big data processing using Azure Data Lake, Azure Data Factory, and Azure Synapse Analytics.

Gen AI & AI/ML Integration

·         Lead the design and implementation of AI/ML pipelines integrating with Azure Machine Learning and Azure OpenAI Service.

·         Develop and optimize ML models using Azure Cognitive Services (Vision, Speech, Text Analytics, Personalizer, and Translator).

·         Implement MLOps practices for model versioning, automated testing, and continuous deployment.

·         Utilize Azure OpenAI to create foundation models and build generative AI applications.

Cross-Cloud Platform Implementation

·         Design and implement hybrid AI solutions across Azure, AWS, and Google Cloud.

·         Develop integration strategies for seamless data flow and model deployment across multiple cloud environments.

·         Implement multi-cloud governance and security best practices.

·         Infrastructure as Code (IaC)

·         Develop and maintain Terraform or Bicep code for Azure infrastructure provisioning and third-party AI services integration.

·         Implement modular and reusable configurations for AI/ML environments.

·         Utilize Terraform/Bicep to manage GPU-enabled instances, distributed training clusters, and scalable AI workloads.

Azure Administration & Security

·         Manage Azure resources for AI workloads, including Azure ML Compute, Azure Batch AI, and AKS clusters.

·         Implement robust security measures for AI/ML workloads using Azure Key Vault, RBAC, and network security best practices.

·         Set up monitoring and alerting using Azure Monitor, Application Insights, and Log Analytics.

CI/CD & DevOps

·         Configure and customize CI/CD pipelines for AI/ML model deployment and Terraform/Bicep infrastructure automation.

·         Integrate Azure DevOps and GitHub Actions for AI model and infrastructure deployment.

·         Implement GitOps practices for managing AI infrastructure deployments.

Collaboration & Documentation

·         Utilize GitHub/GitLab for version control, code reviews, and AI/ML model development.

·         Document AI/ML pipelines, architectures, and infrastructure in Confluence for team collaboration.

Qualifications:

Must-Have:

Overall IT experience: 12-16+ Years

·         5+ years of experience designing and implementing AI/ML platforms on Azure.

·         Expertise in Azure AI services such as Azure Open AI, Azure Machine Learning, and Cognitive Services.

·         Strong experience in cross-cloud platform implementation (Azure, AWS, Google Cloud).

·         Proficiency in Terraform, Bicep, Azure DevOps, and CI/CD for AI/ML workloads.

·         Strong Python programming skills for ML model development.

·         Knowledge of containerization (Docker, Kubernetes, AKS).

·         Excellent problem-solving and communication skills.

·         Bachelors or Master’s degree in Computer Science, Data Science, or a related field (or equivalent experience).

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Required Skills