AI Data Modeling Engineer

About the Position

AI Data Modeling Engineer

Engagement: API Factory - Phase 1 (POC/MVP)

Target start: As soon as possible, ideally September 2026

Embedded with our customer's team for the API Factory proof of concept, this person will define how the customer's legacy IBM i data and program structures map to clean, business-terminology-aligned data models and API object schemas - the foundation the orchestration APIs (and, later, MCP skills) are built on - strictly through the API layer.

Responsibilities

• Design the data/object model for orchestrated business APIs.
• Lead alignment of API and data field naming to our customer's business terminology, in partnership with our customer's product management glossary work.
• Define the data-access pattern for AI agent consumption strictly through the API layer, with no direct or indirect database access, consistent with our customer's stated data-governance position.
• Contribute the data-related inputs, outputs, and validation rules to the API Factory framework.

Requirements

• Strong data modeling / schema design experience, including mapping legacy or sparsely-documented back-end structures to clean, semantically meaningful object models.
• Experience preparing data and object models for consumption by AI agents or LLM-based tools.
• Ability to work directly with business stakeholders (product management) to translate business terminology into formal data models.
• Understanding of data governance / access-control considerations for high-volume production transactional systems.

Nice to Have

• RPG / IBM i (AS/400) experience, or prior experience mapping legacy ERP data structures.
• ERP domain knowledge.
• Experience defining data contracts in a “contract-first” delivery model.

Why This Role

You'll lay the semantic foundation an entire AI-driven API ecosystem is built on - turning decades of undocumented legacy structure into a clean, business-aligned model that both humans and AI agents can trust.

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