Senior AI Engineer — MLOps/AIOps on Azure

EisnerAmper; Owings Mills (MD); On-site; USD 140,000 - 210,000; Full time

Job summary

EisnerAmper is seeking a Senior AI Engineer to deploy, monitor, and optimize enterprise AI solutions on Azure. You will collaborate with AI Developers, Product Owners, and Cloud Architects to ensure scalable, secure, and cost-effective deployments across advisory and client-facing applications.

Ideal candidates bring 5+ years in MLOps/AIOps with Azure expertise, plus a strong background in designing end-to-end AI pipelines and governance controls.

Qualifications

• 5+ years in MLOps and/or AIOps, ideally within Azure cloud environment.
• Hands-on experience with Azure ML, Synapse, Data Lake, App Services, Cosmos DB, and Azure AI Foundry.
• Bachelor's degree in Computer Science, Engineering, Data Science, or related technical field preferred.

Responsibilities

• Deploy and monitor AI models across Azure services with robust telemetry for performance, drift, and availability.
• Manage model upgrades including APIs and UIs with structured rollout, version control, and rollback support.
• Optimize performance and cost through testing, profiling, and tuning of inference infrastructure and pipelines.
• Implement MLOps pipelines for CI/CD and lifecycle management using Azure ML and GitHub Actions.
• Ensure compliant change management for all AI-related deployments with auditability and governance controls.

Skills

MLOps

AIOps

Azure cloud

Azure ML

Cloud architecture

Education

Bachelor's degree in CS/Engineering/Data Science

Tools

Azure ML

Azure Synapse

Azure Data Lake

App Services

Cosmos DB

Azure AI Foundry

Job description

EisnerAmper is seeking a Senior AI Engineer to deploy, monitor, and optimize enterprise AI solutions on Azure. You will collaborate with AI Developers, Product Owners, and Cloud Architects to ensure scalable, secure, and cost-effective deployments across advisory and client-facing applications.

Ideal candidates bring 5+ years in MLOps/AIOps with Azure expertise, plus a strong background in designing end-to-end AI pipelines and governance controls.