AI Solution Architect - Lead Platform & AI Agents (Remote)

EisnerAmper; Atlanta (GA); Hybrid; USD 150,000 - 190,000; Full time

Job summary

EisnerAmper is seeking multiple AI Solution Architects to lead development on the EisnerAI Platform, shaping architecture for intelligent tax, audit, outsourcing and advisory solutions. This role drives AI integration and governance across multiple business lines.

Ideal candidates have deep AI/ML architecture experience, Azure ecosystem expertise, and a track record in delivering enterprise-scale platforms. The position supports hybrid/remote work in the United States.

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 architecture

Cloud computing

Education

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

Master's degree preferred (Computer Science / AI/ML / MBA with technical focus)

Tools

Azure cloud services

Python

C#

JavaScript/TypeScript

SQL

Job description

EisnerAmper is seeking multiple AI Solution Architects to lead development on the EisnerAI Platform, shaping architecture for intelligent tax, audit, outsourcing and advisory solutions. This role drives AI integration and governance across multiple business lines.

Ideal candidates have deep AI/ML architecture experience, Azure ecosystem expertise, and a track record in delivering enterprise-scale platforms. The position supports hybrid/remote work in the United States.