Senior AI Engineer: Azure MLOps & Governance

EisnerAmper

Fort Lauderdale (FL)

On-site

USD 150,000 - 210,000

Full time

3 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 AI systems across tax, audit, and advisory engagements.

The role emphasizes secure, observable, and governed ML deployments, with a strong focus on telemetry, performance, and compliance.

Qualifications

5–7+ 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.
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.
Tools for inference performance testing and profiling (e.g., Locust, K6, or custom scripts).
Model Evaluation: performance metrics, benchmark development, and A/B testing frameworks.
Understanding of model observability, telemetry, and incident response for AI systems.

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.