Join a high-impact, greenfield AI initiative where you will shape how accounting, legal, and compliance teams use data and automation. The client is seeking a Senior Data & AI Engineer to build practical, production-ready solutions using Databricks, Python, cloud infrastructure, and modern AI tools—while working directly with business leaders to turn complex workflows into measurable results.
Day-to-Day Responsibilities:
Meet with accounting, legal, and compliance teams to understand manual workflows.
Build data pipelines and workflow automations in Databricks.
Develop AI tools, RAG solutions, and agentic workflows.
Own projects from discovery through deployment and adoption.
Improve data quality, monitoring, and documentation.
Explain technical solutions clearly to non-technical stakeholders.
Minimum Requirements:
10+ years of data engineering, machine learning, software engineering, or applied AI experience.
Strong data engineering background with production pipeline experience.
Strong Python skills.
Hands-on Databricks, Snowflake or comparable experience.
Cloud experience in Azure, AWS, or GCP; Azure preferred.
Production experience with LLMs, RAG, vector databases, AI agents.
Experience owning projects independently from start to finish.
Direct experience working with internal business teams.
Recent experience supporting accounting, finance, legal, or compliance stakeholders.
Ability to identify the simplest practical solution to a business problem.
Strong communication, adaptability, and stakeholder-management skills.
Experience with Claude, Claude Code, Codex, Cursor, or similar AI coding tools.
Must be authorized to work in the United States without sponsorship.
Preferred Qualifications:
Azure Databricks, Delta Lake, PySpark, or Unity Catalog experience.
Experience with Claude, Claude Code, Codex, Cursor, or similar AI coding tools.
Knowledge of journal entries, reconciliations, month-end close, K-1s, or fund accounting.
Private equity, asset management, or financial-services experience.
Bachelor's degree in a STEM field; master's degree preferred.