AI Architect AI & Automation

Key Responsibilities

• Own the technical roadmap for AI-driven data modeling, documentation generation, data quality rule generation, and transformation code generation.
• Design agentic workflow architecture using frameworks such as LangGraph, CrewAI, or AutoGen.
• Ensure all AI workflows operate within the client's AI governance and approval framework.
• Lead a small delivery team (AI Tech Lead, AI Developer) through discovery, prioritization, and iterative delivery of automation solutions.
• Act as the primary technical point of contact with client platform and data engineering stakeholders.

Required Qualifications

• 10 years in data engineering or applied AI/ML, including 2 years leading applied-AI delivery teams.
• Experience designing agentic or multi-step AI workflows (LangGraph, CrewAI, AutoGen, or equivalent).
• Experience integrating large language models into data engineering pipelines within a governed enterprise environment.
• Strong understanding of ETL/ELT patterns, schema analysis, and source-to-target mapping.
• Client-facing consulting or delivery experience.

Preferred Qualifications

• Experience with Databricks AI/ML tooling.

Background in data quality automation or catalog/metadata generation.