Senior AI Engineer role focused on delivering enterprise AI in production on Azure, with an emphasis on MLOps and AIOps.

Deploy and monitor AI models across Azure services using robust telemetry for performance, drift, and availability
Handle model upgrades across APIs and UIs with structured rollout, version control, and rollback support
Improve performance and cost through testing, profiling, and tuning of inference infrastructure and pipelines
Build MLOps pipelines for continuous integration, deployment, and AI lifecycle management using Azure ML and GitHub Actions
Support compliant change management for AI deployments, ensuring auditability, security, and governance controls

5-7+ years of MLOps and/or AIOps experience
Prefer Azure cloud experience with hands-on exposure to Azure ML, Synapse, Data Lake, App Services, Cosmos DB, and Azure AI Foundry
Preferred: Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field
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
Experience integrating Azure DevOps, App Insights, Log Analytics, Key Vault, and Managed Identity
Ability to use inference performance testing and profiling tools (for example, 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

Opportunity to be part of one of the largest and fastest growing accounting and advisory firms
Flexibility to manage your days in support of work/life balance
Culture with multiple top “Places to Work” awards

AI Engineer

Job Description