Data Engineer, AI Development

Ultimus Fund Solutions is hiring a Data Engineer for an AI Development pod. The role builds workflow-specific data pipelines, integrations, and models, prepares structured data for AI solutions, and contributes reusable data to the shared platform.

Responsibilities:

• Map the data each workflow uses today, including systems, files, emails and spreadsheets, and design how AI solutions will get it
• Build the workflow-specific pipelines, integrations and data models that AI solutions need, using Snowflake and the shared AI platform
• Turn unstructured inputs such as statements, subscription documents and Excel workbooks into structured data that models and agents can use
• Set up data quality checks so AI solutions work from accurate, complete data, and fix data issues found during testing
• Contribute workflow data back to the shared platform so the next workflow can reuse it

Requirements:

• 3+ years of data engineering experience
• Strong SQL and Python
• Experience with Snowflake or another cloud data warehouse, and with building data integrations and APIs
• Experience working with semi-structured and unstructured data
• Ability to work directly with business users to understand how they use data
• Experience preparing data for AI and machine learning, such as feature engineering, chunking, embeddings and retrieval
• Familiarity with fund accounting, investor or transfer agency data (for example, FIS InvestOne or Investran)
• Azure data services experience