Senior AI Engineer: Azure MLOps & AIOps

EisnerAmper

Houston (TX)

On-site

USD 140,000 - 210,000

Full time

2 days ago

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Job summary

EisnerAmper is seeking a Senior AI Engineer specializing in MLOps and AIOps to deploy, operate, and optimize enterprise-grade AI solutions on Azure. You will collaborate with AI Developers, Product Owners, and Cloud Architects to ensure reliable, scalable, and cost-effective deployments across tax, audit, advisory, and client-facing applications.

You will own telemetry, CI/CD pipelines with Azure ML, and governance controls while advancing observability and secure machine learning practices

Qualifications

5-7+ years in MLOps and/or AIOps, ideally within Azure cloud environment.

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 continuous integration, deployment, and lifecycle management using Azure ML and GitHub Actions.
Ensure compliant change management for all AI-related deployments, with auditability, security, and governance controls.