AI Solution Architect — Lead AI Platform & Agents

EisnerAmper LLP; Hattiesburg (MS); On-site; USD 180,000 - 260,000; Full time

Job summary

EisnerAmper is seeking multiple AI Solution Architects to serve as lead developers on the EisnerAI Platform. You will design and implement the architecture powering intelligent solutions across tax, audit, outsourcing and advisory services, delivering an AI platform to transform client service.

The role emphasizes model evaluation, post-training optimization, and building agent ecosystems with a strong focus on governance and responsible AI practices.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Data Science, or related technical field.
• 6+ years of software development experience with 4+ years in AI/ML architecture role.
• 3+ years of hands-on experience with Azure cloud services and enterprise-scale solutions.

Responsibilities

• Ensure seamless integration across the platform's Data Management, Governance, AI, Agents and Application layers.
• Drive model evaluation frameworks and post-training optimization for custom LLMs and AI agents.
• Lead technical development of the 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 AI services

Python

C#

JavaScript/TypeScript

SQL

DevOps

Docker

Kubernetes

Education

Bachelors in CS/Engineering

Tools

Azure DevOps

GitHub Actions

Docker

Kubernetes

Job description

EisnerAmper is seeking multiple AI Solution Architects to serve as lead developers on the EisnerAI Platform. You will design and implement the architecture powering intelligent solutions across tax, audit, outsourcing and advisory services, delivering an AI platform to transform client service.

The role emphasizes model evaluation, post-training optimization, and building agent ecosystems with a strong focus on governance and responsible AI practices.