Remote Founding Data Architect - AI Knowledge Platform

Weblife Stores; United States; Remote; USD 180,000 - 250,000; Full time

Benefits offered by this job

Founding ownership of data and memory

Flexible remote work

Global, remote-friendly collaboration

Job summary

WebLife Stores is seeking a founding Data Architect to design and build the data and knowledge systems at the core of an AI‑native platform. You will own application data end‑to‑end across cloud, local, and offline environments, defining governance, security, and scalable architectures.

You will shape knowledge structures, embeddings, and RAG pipelines, while leading by example within a small founding team. This remote role welcomes candidates worldwide.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Data Engineering, or a related field. A master's degree is preferred.
• 57+ years of experience in Data Engineering, Platform Engineering, Backend Engineering, or related technical roles.
• 3+ years of experience owning data architecture or platforms end-to-end.
• Experience designing application databases beyond analytics or reporting systems.
• Experience working in startup or high‑ownership environments is highly desirable.
• Experience working with international teams or clients is advantageous.

Responsibilities

• Own the end-to-end architecture of application data across cloud, local, and offline‑capable environments.
• Define database governance standards, including schemas, primary keys, migrations, backward compatibility, and change management.
• Design secure multi‑tenant data models, tenant isolation strategies, and data lifecycle management.
• Architect for extensibility across relational, vector, graph, search, and future data stores.
• Design and implement organizational memory systems, including knowledge records, semantic chunks, embeddings, metadata, relationships, and audit history.
• Build and operate RAG pipelines covering ingestion, chunking, embedding, indexing, retrieval, ranking, and evaluation.
• Design knowledge structures such as context graphs, hierarchies, and retrieval models that improve AI reasoning.
• Establish governance mechanisms for knowledge freshness, approval workflows, lifecycle states, and auditability.
• Translate research‑grade AI memory and retrieval concepts into pragmatic MVPs while avoiding over‑engineering and preserving long‑term architectural flexibility.
• Build reliable event‑driven and batch processing pipelines with strong guarantees around data quality, idempotency, and scalability.
• Own infrastructure, CI/CD, observability, monitoring, and production reliability for data services.
• Troubleshoot production issues, perform root‑cause analysis, and drive continuous improvement.
• Partner with AI engineers, product teams, and stakeholders to translate ambiguous requirements into scalable production systems.
• Balance long‑term architectural decisions with pragmatic MVP delivery.
• Mentor engineers and establish best practices as the platform scales.

Skills

PostgreSQL

SQLite

pgvector

RAG pipelines

Embeddings

Vector databases

Multi-tenant architectures

CI/CD

Education

Bachelor's degree in CS/SE

Master's degree preferred

Tools

Qdrant

Pinecone

Weaviate

Neo4j

Job description

WebLife Stores is seeking a founding Data Architect to design and build the data and knowledge systems at the core of an AI‑native platform. You will own application data end‑to‑end across cloud, local, and offline environments, defining governance, security, and scalable architectures.

You will shape knowledge structures, embeddings, and RAG pipelines, while leading by example within a small founding team. This remote role welcomes candidates worldwide.