AI Engineer

About the role

Join the EisnerAI team, a fast-growing organization within EisnerAmper that is redefining how professional services harness the power of Artificial Intelligence. 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. You will collaborate 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

• Be part of 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.
• Join a culture that has received multiple top “Places to Work” awards.
• Collaborate in an environment where cultures, ideas, and experiences come together to create innovative solutions.
• Embrace differences as a strength that unites the team and strengthens the foundation.
• Show up authentically to find inspiration and do your best work.

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.

Requirements

• Bachelor's degree in Computer Science, Engineering, Data Science, or related technical field.
• 5-7+ years in MLOps and/or AIOps, ideally within an Azure cloud environment.
• Hands-on experience with Azure ML, Synapse, Data Lake, App Services, Cosmos DB, and Azure AI Foundry.

Preferred Qualifications

• Consulting background with a strong bias for action.
• Experience with workflow design: prompt flow, automation pipelines, and human-in-the-loop systems.
• Post-training techniques: fine-tuning, instruction tuning, RLHF, and domain adaptation.
• Integration with Azure DevOps, App Insights, Log Analytics, Key Vault, and Managed Identity.
• 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.

About EisnerAmper

EisnerAmper is one of the largest accounting, tax, and business advisory firms, with approximately 450 partners and 4,500 employees worldwide. We combine responsiveness with a long-range perspective to help clients meet pressing issues and position them for future success. Our clients include enterprises of every form—from sophisticated financial institutions to startups, global public firms to middle-market companies, governmental entities, high-net-worth individuals, family offices, nonprofit organizations, and entrepreneurial ventures across a variety of industries. We also engage attorneys, financial professionals, bankers, investors, and key stakeholders who serve these clients.

EisnerAmper is a merit-based employer and does 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.