AI Engineer

We are seeking a Senior AI Engineer specializing in MLOps and AIOps, who will play a critical role in deploying, operating, and optimizing enterprise-grade AI solutions built on Azure, collaborating closely with AI Developers, Product Owners, Governance leaders and Cloud Architects to ensure these systems are reliable, scalable, and cost-effective across tax, audit, advisory, and client-facing applications. This role goes beyond traditional DevOps—it’s about engineering AI into the fabric of enterprise operations, enabling secure, observable, and governed machine learning deployments that deliver real business impact.

What it Means to Work for EisnerAmper:

• You will get to be part of one of the largest and fastest growing accounting and advisory firms in the industry

• You will have the flexibility to manage your days in support of our commitment to work/life balance

• You will join a culture that has received multiple top “Places to Work” awards

  • We believe that great work is accomplished when cultures, ideas and experiences come together to create innovative solutions

  • We understand that embracing our differences is what unites us as a team and strengthens our foundation

  • Showing up authentically is how we, both as professionals and a Firm, find inspiration to do our best work

What Work You Will be Responsible For: 

• 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.

Basic 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

Preferred/Desired Qualifications

• 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.

EisnerAmper is proud to be a merit-based employer. We do not discriminate on the basis of veteran or disability status or any protected characteristics under federal, state, or local law.

EisnerAmper will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, TN, O-1, E-3, H-1B1, J-1, or any other employment-based visa.)

About EisnerAmper:  

EisnerAmper is one of the largest accounting, tax, and business advisory firms, with approximately 450 partners and 4,500 employees across the world. We combine responsiveness with a long-range perspective; to help clients meet the pressing issues they face today and position them for success tomorrow. 

Our clients represent enterprises of every form, ranging from sophisticated financial institutions to startups, global public firms to middle-market companies, governmental entities as well as high-net-worth individuals, family offices, nonprofit organizations and entrepreneurial ventures across a variety of industries. We are also engaged by the attorneys, financial professionals, bankers, investors, and key stakeholders who serve these clients. 

Should you need any accommodations to complete this application please email: [email protected]  

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