Manager - AI Engineering

The Manager - AI Engineering role is focused on the design, deployment, and operation of scalable, production-grade AI and data platforms on Microsoft Azure. The successful candidate will work at the intersection of DevOps, cloud infrastructure, and machine learning enablement, prioritizing automation, reliability, and secure delivery.

Key Responsibilities:

• Build, manage, and optimize CI/CD pipelines using Azure DevOps and GitHub Actions.
• Deploy and operate AI-enabled and data platforms on Azure Kubernetes Service (AKS) using Docker and Helm.
• Provision and manage Azure infrastructure, including compute, networking, storage, and security services.
• Enable MLOps and data pipelines by supporting ETL workflows using Azure Data Factory and Databricks.
• Implement secure configuration and secrets management via Azure Key Vault.
• Monitor platform health, performance, and availability using Azure Monitor and Log Analytics.
• Conduct performance and load testing using JMeter/BlazeMeter and drive optimization.
• Collaborate with ML engineers to support model packaging, versioning, deployment, and monitoring.
• Support Agile delivery and track cloud infrastructure costs.

Qualifications

• 3 to 6 years of relevant experience in AI platform enablement, DevOps, or Cloud Engineering.
• Proven experience supporting production workloads on Microsoft Azure.
• Hands-on exposure to CI/CD automation, container platforms, and cloud-native architectures.
• Bachelor’s degree in Engineering, Computer Science, or a related discipline is required.
• Strong problem-solving, analytical, and communication skills with an automation-first mindset.