Lead AI Solutions Architect (Azure & LLMs)

EisnerAmper; Owings Mills (MD); On-site; USD 170,000 - 230,000; Full time

Job summary

EisnerAmper, a leading accounting and advisory firm in the United States, seeks a senior AI/ML architect to drive enterprise-scale data platforms and AI agent workflows. You will lead model evaluation, deployment, governance, and Azure-based solutions across complex client environments.

Join a culture that embraces innovation, work/life balance, and award-winning workplaces while delivering scalable, responsible AI for diverse financial services engagements.

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

Cloud computing

Software development

Education

Bachelor's degree

Master's degree (preferred)

Tools

Azure

Azure OpenAI Service

TensorFlow

PyTorch

Scikit-learn

Docker

Kubernetes

Databricks

SQL

Job description

EisnerAmper, a leading accounting and advisory firm in the United States, seeks a senior AI/ML architect to drive enterprise-scale data platforms and AI agent workflows. You will lead model evaluation, deployment, governance, and Azure-based solutions across complex client environments.

Join a culture that embraces innovation, work/life balance, and award-winning workplaces while delivering scalable, responsible AI for diverse financial services engagements.