AI Solution Architect

EisnerAmper•Miami, FL

About The Position

EisnerAmper is seeking multiple AI Solution Architects to serve as lead developers on the EisnerAI Platform. The role designs and implements the technical architecture behind intelligent solutions across tax, audit, outsourcing, and advisory services. It supports the development of a comprehensive AI platform intended to transform client service and advance EisnerAmper’s vision of becoming an industry-leading AI-powered professional services firm. The position integrates the platform’s Data Management, Governance, AI, Agents, and Application layers; develops evaluation and optimization approaches for custom large language models and AI agents; and leads development of the EisnerAI Agent Workforce. It also designs agentic frameworks and ensures adherence to data governance policies and responsible AI practices. Applicants must be authorized to work for any employer in the United States. EisnerAmper is unable to sponsor or assume sponsorship of an employment visa for this position now or in the future. Preferred location: Iselin. The listing is tagged both hybrid and remote.

Requirements

  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field.
  • At least 6 years of software development experience, including at least 4 years in an AI/ML architecture role.
  • At least 3 years of hands-on experience with Azure cloud services and enterprise-scale solutions.
  • Authorization to work for any employer in the United States; employment visa sponsorship is not available.

Nice To Haves

  • Master's degree preferred in Computer Science, AI/ML, or an MBA with a technical focus.
  • Deep expertise in the Microsoft Azure AI services ecosystem, including Azure AI Foundry.
  • Experience with Azure Machine Learning, including MLOps, model deployment, and lifecycle management.
  • Experience with Azure OpenAI Service, GPT models, prompt engineering, and fine-tuning.
  • Experience with Azure Cognitive Services, including Document Intelligence, Language Understanding, and Computer Vision.
  • Experience with Azure AI Search, including vector search, semantic search, and knowledge mining.
  • Experience with Azure Databricks for data engineering and ML model development.
  • Programming experience with Python, C#, JavaScript/TypeScript, and SQL.
  • Experience with TensorFlow, PyTorch, Scikit-learn, and Transformers.
  • Experience with vector databases such as Azure Cosmos DB, Pinecone, or Weaviate.
  • Experience with DevOps and MLOps tools such as Azure DevOps, GitHub Actions, Docker, and Kubernetes.

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, including 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.

Benefits

  • Flexibility to manage workdays in support of work/life balance.
  • A culture recognized with multiple “Places to Work” awards.
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