Role: AI Architect Duration: 12 Months Location: New York City, NY (Hybrid)
Job Description:
Interim Consultant, Data, Taxonomy & AI Architecture Transformation
6-month external consultant to drive change across data and AI architecture - operationalizing an end-to-end data and AI approach, advancing taxonomy and ontology strategy, and standing up data onboarding standards with measurable SLAs. This role complements the existing team by adding temporary architecture expertise and hands-on delivery.
Required experience:
10+ years in data architecture, data platform engineering, information architecture, or AI systems architecture
Deep enterprise data architecture expertise with strong hands-on understanding of Databricks and medallion design
Strong experience in distributed data processing, data modeling, governance, observability, metadata strategy, and semantic modeling
Production experience with AI / LLM-based systems, including RAG, vector databases, prompt orchestration, evaluation, monitoring, and governance controls. Understanding of fast evolving AI agent architectures.
Deep understanding of how taxonomy, ontology, metadata, and semantic structures support scalable enterprise data and AI use cases
Deep working knowledge of Databricks and AWS, with the ability to architect and execute within already-selected strategic platforms
Strong understanding of how to improve technical team productivity through modern AI-assisted development tools such as GitHub Copilot, Claude Code, and Codex
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