Senior AI Engineer - MLOps & AIOps on Azure

EisnerAmper; Baton Rouge (LA); On-site; USD 140,000 - 190,000; Full time

Job summary

EisnerAmper seeks a Senior AI Engineer specializing in MLOps and AIOps to deploy and operate enterprise AI solutions on Azure. You will collaborate with AI Developers, Product Owners, Governance leaders and Cloud Architects to ensure reliable, scalable, and cost-effective systems across advisory and client-facing applications.

The role emphasizes governance, observability, and secure AI deployments that deliver real business impact within a leading accounting and advisory firm.

Qualifications

• 5-7+ years in MLOps/AIOps, with Azure cloud experience.
• Hands-on with Azure ML, Synapse, Data Lake, App Services, Cosmos DB.
• Experience deploying enterprise AI solutions with governance.

Responsibilities

• Deploy and monitor AI models across Azure services with telemetry.
• Manage model upgrades with version control and rollback.
• Optimize performance and cost of inference pipelines.
• Implement MLOps pipelines using Azure ML and GitHub Actions.
• Ensure compliant change management with security and governance controls.

Skills

MLOps

AIOps

Azure

Education

Bachelor's degree in Computer Science

Engineering or Data Science background

Tools

Azure DevOps

App Insights

Log Analytics

Key Vault

Managed Identity

Job description

EisnerAmper seeks a Senior AI Engineer specializing in MLOps and AIOps to deploy and operate enterprise AI solutions on Azure. You will collaborate with AI Developers, Product Owners, Governance leaders and Cloud Architects to ensure reliable, scalable, and cost-effective systems across advisory and client-facing applications.

The role emphasizes governance, observability, and secure AI deployments that deliver real business impact within a leading accounting and advisory firm.