Senior Data & AI Engineer x2

Apply now: Senior Data & AI Engineer, location is 100% onsite in Santa Monica, CA. The start date is ASAP for this permanent position., Job Description: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.

• 5-10 years of data engineering, machine learning, software engineering, with recent applied AI solution-building 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., * 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.