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Job Description

EisnerAmper LLP is seeking a Senior AI Engineer to help deploy, operate, and continuously improve enterprise AI capabilities. This role focuses on MLOps and AIOps practices that keep machine learning deployments reliable, scalable, cost-aware, secure, observable, and governed across internal and client-facing solutions.

Working onsite in Iselin, NJ, you will collaborate with cross-functional teams to support AI use cases spanning tax, audit, and advisory environments, while building the pipelines and controls needed for compliant change management.

What you’ll do

  • Deploy and monitor AI models on Azure, using telemetry to track performance, drift, and availability.
  • Coordinate model upgrades across APIs and UIs with structured rollout, version control, and rollback support.
  • Improve inference and pipeline performance and reduce cost through testing, profiling, and tuning.
  • Build MLOps pipelines for continuous integration and deployment, including lifecycle management using Azure ML and GitHub Actions.
  • Apply compliant change management to AI deployments, ensuring auditability, security, and governance controls.

What you bring

  • 5-7+ years of experience in MLOps and/or AIOps, ideally in an Azure environment with hands-on work involving Azure ML, Synapse, Data Lake, App Services, Cosmos DB, and Azure AI Foundry.
  • A Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field.
  • Consulting experience with a strong bias for action.
  • Workflow design experience including prompt flow, automation pipelines, and human-in-the-loop systems.
  • Post-training techniques such as fine-tuning, instruction tuning, RLHF, and domain adaptation.
  • Familiarity with Azure DevOps, App Insights, Log Analytics, Key Vault, and Managed Identity integration.
  • Experience with inference performance testing and profiling tools such as locust, K6, or custom scripts.
  • Model evaluation skills including performance metrics, benchmark development, and A/B testing frameworks.
  • Understanding of model observability, telemetry, and incident response for AI systems.

Technologies

  • Azure, Azure ML, Synapse, Data Lake, App Services, Cosmos DB, Azure AI Foundry
  • GitHub Actions, Azure DevOps
  • App Insights, Log Analytics
  • Key Vault, Managed Identity
  • Prompt flow, RLHF
  • locust, K6

Benefits

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

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