Job Summary

The Lead Consultant for DevOps Solutions in Azure is responsible for managing and implementing DevOps practices using Azure DevOps. The primary goal is to optimize the software development lifecycle by enhancing collaboration, automation, and integration between development and operations teams.

Key Responsibilities

1. Implement and deploy Azure-based AI solutions per designs from architecture team.
2. Collaborate with engineering team to design Azure-based systems according to Azure best practices.
3. Build and maintain Azure AI Foundry projects including RAG pipelines and AI model deployments.
4. Configure and manage Azure infrastructure (VNets, NSGs, Key Vault, AKS, Azure DevOps).
5. Implement data platform components (Azure Data Factory, Synapse Analytics, Azure SQL/Cosmos DB).
6. Support CI/CD pipelines for AI/ML workloads using Azure DevOps.
7. Monitor, troubleshoot, and optimize Azure cloud resources and AI services.
8. Document implementation details and maintain runbooks.
9. Support adoption of new Azure tooling (FoundryIQ, FabricIQ)

Skill Requirements

1. Deep understanding of Azure cloud services including AI, data, and infrastructure.
2. Hands-on experience with Azure AI Foundry, Azure OpenAI Service, and Azure AI Search.
3. Strong skills in building and maintaining RAG (Retrieval-Augmented Generation) architectures.
4. Experience with Azure data platform services (Data Factory, Synapse, SQL/Cosmos DB).
5. Proficiency in Python and scripting for cloud automation and AI workflows.
6. Deep experience working with Terraform (or other infrastructure-as-code platforms)
7. Ability to work effectively in an offshore/GCC delivery model with onshore teams.
8. Experience working with newer Azure technologies (FoundryIQ, FabricIQ)

Other Requirements

1.Azure DevOps Engineer Expert certification is preferred but not mandatory required.