Senior AI Solutions Architect - Azure & LLMs

EisnerAmper; New York (NY); On-site; USD 150,000 - 190,000; Full time

Job summary

EisnerAmper is a leading accounting and advisory firm seeking a Senior AI/ML Architect to help build and govern next-generation AI platforms across Data Management, Governance, and AI agents. You will drive model evaluation, optimize post-training performance, and lead development of EisnerAI tools such as TaxPrepBot and ComplianceRiskBot.

You will collaborate with cross-functional teams and advance MLOps practices using Azure and modern cloud services.

Qualifications

• Bachelor's degree in a technical field is required.
• 6+ years software development with 4+ years AI/ML architecture experience.
• 3+ years hands-on Azure cloud services experience.

Responsibilities

• Ensure seamless integration across the platform Data Management, Governance, AI, Agents and Application layers.
• Drive model evaluation frameworks and post-training optimization for custom LLMs and AI agents.
• Lead development of EisnerAI Agent Workforce such as TaxPrepBot, ComplianceRiskBot, DocIntake, and M&A Targeting Bot.
• Design agentic frameworks supporting initiation, execution, state management, logging, and error handling.
• Ensure adherence to data governance policies and responsible AI practices.

Skills

AI/ML architecture

Azure cloud services

Python

C#

JavaScript/TypeScript

SQL

Education

Bachelor's degree in Computer Science/Engineering/Data Science or related field

Tools

Azure DevOps

Docker

Kubernetes

Azure OpenAI Service

TensorFlow

PyTorch

Scikit-learn

Transformers

Azure Databricks

Cosmos DB

Job description

EisnerAmper is a leading accounting and advisory firm seeking a Senior AI/ML Architect to help build and govern next-generation AI platforms across Data Management, Governance, and AI agents. You will drive model evaluation, optimize post-training performance, and lead development of EisnerAI tools such as TaxPrepBot and ComplianceRiskBot.

You will collaborate with cross-functional teams and advance MLOps practices using Azure and modern cloud services.