Senior AI Platform Architect

EisnerAmper LLP

Denver (CO)

On-site

USD 150,000 - 210,000

Full time

4 hours ago
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Job summary

EisnerAmper LLP is seeking multiple AI Solution Architects to lead the EisnerAI Platform, designing and implementing the architecture powering intelligent solutions across tax, audit, outsourcing and advisory services.

You will drive model evaluation, deployment, and orchestration of AI agents, ensuring seamless integration across data, governance, and application layers, while upholding data governance and responsible AI practices.

Qualifications

  • Degree in CS/Engineering/Data Science or related field.

Responsibilities

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

Python
C#
JavaScript/TypeScript
SQL

Education

Bachelor's degree in CS/Engineering/Data Science or related field
Master's degree preferred (CS/AI/MBA with tech focus)

Tools

Azure AI Foundry
Azure Machine Learning
Azure OpenAI Service
Azure Cognitive Services
Azure AI Search
Azure Databricks
Azure DevOps
Docker
Kubernetes
TensorFlow
PyTorch
Scikit-learn
Transformers
Azure Cosmos DB
Pinecone
Weaviate
GitHub Actions

Job description

EisnerAmper LLP is seeking multiple AI Solution Architects to lead the EisnerAI Platform, designing and implementing the architecture powering intelligent solutions across tax, audit, outsourcing and advisory services.

You will drive model evaluation, deployment, and orchestration of AI agents, ensuring seamless integration across data, governance, and application layers, while upholding data governance and responsible AI practices.

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