AI Engineer

Eisner Amper 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.

• 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 Git Hub Actions
  .
• Apply compliant change management to AI deployments, ensuring auditability
  , security
  , and governance controls
  .

• 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 Dev Ops
  , 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.

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

• 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.