AI Data Engineer. The role, the market signal, and how to build it in your org.
Builds the data layer AI runs on: ingestion, feature stores, embeddings, retrieval. The plumbing that makes agents and models usable on real enterprise data.
In a workforce of people and AI agents, this role takes shape around the workflows it supports. Define its responsibilities and handoffs, then prepare people to perform that work.
Source snapshot 2026-07-17. Postings do not confirm that a vacancy is still open.
64 postings · 57 distinct titles · from 264,613 real job postings · see the source snapshot →
What the postings ask this role to do
1,237 tasks extracted from real AI Data Engineer job descriptions, classified Automate / Augment / Human-only. In this source classification, 3.2% of task statements are automation candidates. The share does not measure working time or demonstrated agent performance.
- Catalog datasets that support applied ai retraining workflows.
- Normalize collected data for downstream ai and data workflows.
- Document processes, workflows, and configurations for reference and future improvements.
- Develop ai-driven systems to improve data capabilities.
- Collect data from multiple sources, including external llm providers.
- Stay current with emerging tools and methodologies in ai data engineering.
- Develop graph database solutions for complex data relationships supporting ai systems.
- Design scalable real-time data pipelines that support ongoing applied ai model training.
- Mentor other members of the engineering community.
- Maintain clear communication channels across teams.
- Partner with ai r&d, applied ai, and data platform teams to ensure seamless data flow.
- Mentor junior team members and promote best practices, standards, and reusable patterns.
- Collaborate with cross-functional teams to integrate solutions into operational processes and systems.
From the market's version of this role to your version of it
Start with the work, not the org chart.
Define what this role will build, configure, decide and check. Connect that work to an enterprise-specific project and agreed assessment evidence.