Remote Principal AI Architect - Shape the AI Platform

Oscar

United States

Remote

USD 270,000 - 330,000

Full time

14 days+

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Job summary

Oscar is seeking a Principal AI Architect to own the AI technical function, define the architecture, and drive the quality and cost of in‑house AI systems. This hands‑on IC role leads from design through production, evolving toward Head of AI Engineering as the team grows.

You will build a centralized lakehouse‑based AI stack, govern models and deployments, and guide the organization on ROI, security, and scalable AI delivery. Fully remote anywhere in the United States.

Qualifications

  • 10+ years in software, data, or ML engineering.
  • Strong Python and SQL; builds and debugs AI systems.
  • Production experience with LLM agents, RAG, and knowledge graphs.
  • Proven ROI and AI cost control; deterministic vs LLM design skills.
  • Experience securing AI systems in regulated environments.

Responsibilities

  • Set the AI technical vision and roadmap with executive leadership.
  • Decide deterministic vs dynamic components in system design.
  • Design multi-agent architectures, tool use, and safety gates.
  • Build end‑to‑end RAG, embeddings, and grounded citations.
  • Develop knowledge graphs and ontology‑driven retrieval.
  • Oversee document intelligence across contracts and payments.
  • Lead data lakehouse design and governance for AI workloads.
  • Select models by task, latency, cost, and data constraints.
  • Deploy and operate AI services on managed or self‑hosted infra.
  • Establish evaluation, monitoring, and drift control tied to outcomes.

Skills

Python
SQL
LLM agents
RAG
Knowledge graphs
Cost/ROI optimization
Regulated data security

Job description

Oscar is seeking a Principal AI Architect to own the AI technical function, define the architecture, and drive the quality and cost of in‑house AI systems. This hands‑on IC role leads from design through production, evolving toward Head of AI Engineering as the team grows.

You will build a centralized lakehouse‑based AI stack, govern models and deployments, and guide the organization on ROI, security, and scalable AI delivery. Fully remote anywhere in the United States.

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