AI Solution Architect
EisnerAmper · Baton Rouge, LA · 1 wk ago
HybridFull-time
What Work You Will Be Responsible For
- 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.
Basic 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.
Preferred Or Desired Qualifications
- Master's degree preferred (Computer Science, AI/ML, or MBA with technical focus).
- Deep expertise in Azure AI services ecosystem.
- MLOps, model deployment, and lifecycle management experience with Azure Machine Learning.
- Experience with Azure OpenAI Service, GPT models, prompt engineering, and fine-tuning.
- Experience with Azure Cognitive Services, Document Intelligence, Language Understanding, and Computer Vision.
- Experience with Azure AI Search, Vector search, semantic search, and knowledge mining.
- Experience with Azure Databricks, Data engineering, and ML model development.
- Experience with Python, C#, JavaScript/TypeScript, SQL, TensorFlow, PyTorch, Scikit-learn, Transformers, and Vector Databases (Azure Cosmos DB, Pinecone, or Weaviate).
- Experience with DevOps & MLOps: Azure DevOps, GitHub Actions, Docker, and Kubernetes.