Senior AI Engineer: MLOps/AIOps on Azure

EisnerAmper

Birmingham (AL)

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, Governance leaders, and Cloud Architects to ensure reliable, scalable, and cost-effective deployments across tax, audit, advisory, and client-facing applications.

This role emphasizes observability, governance, secure lifecycle management, and CI/CD with Azure ML and GitHub Actions, while

Qualifications

5–7+ years in MLOps and/or AIOps, ideally within Azure cloud environment with 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.
Consulting background with a strong bias for action.
Workflow design: prompt flow, automation pipelines, and human-in-the-loop systems.
Post-training techniques: fine-tuning, instruction tuning, RLHF, and domain adaptation.
Azure DevOps, App Insights, Log Analytics, Key Vault, and Managed Identity integration.

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, security, and governance controls.