Senior AI/ML Data Model Architect — Remote | Scale & Trust

Sapience AI Corporation; Seattle (WA); Hybrid; USD 204,000 - 216,000; Full time

Job summary

Sapience AI is seeking a Senior AI/ML Data Model Architect to own data models, schemas, and representations that connect a community’s knowledge to AI systems. You will shape how data flows from sources to models, ensuring coherence for retrieval, reasoning, and graph structures across the platform.

You will lead the data foundation across multiple teams, focusing on quality, lineage, and governance while enabling scalable, trustworthy AI systems for diverse communities on the Sapience AI

Qualifications

• Seven or more years in data architecture, data modeling, or a closely related field.
• Experience designing data models and representations for ML or AI systems.
• Strong grounding in schema design, data modeling, and knowledge representation.
• Experience with features, embeddings, and representations for models and retrieval.
• Strong understanding of data lineage, quality, and governance.
• Fluency across relational, graph, and vector data paradigms.
• The ability to align many teams around a shared foundation.

Responsibilities

• Data modeling and schema architecture for AI.
• Representations for models, retrieval, and graphs.
• Data flow, lineage, and provenance.
• Consistency, quality, and correctness by design.
• Privacy, governance, and trust in data architecture.
• Cross-team alignment on shared foundations.
• Evolving architecture for scale and change.

Skills

Data architecture

Data modeling

Schema design

Governance

Cross-team alignment

Privacy by design

Knowledge graphs

AI systems

Tools

SQL

Python

Graph query languages

Job description

Sapience AI is seeking a Senior AI/ML Data Model Architect to own data models, schemas, and representations that connect a community’s knowledge to AI systems. You will shape how data flows from sources to models, ensuring coherence for retrieval, reasoning, and graph structures across the platform.

You will lead the data foundation across multiple teams, focusing on quality, lineage, and governance while enabling scalable, trustworthy AI systems for diverse communities on the Sapience AI