Healthcare AI Data Architect — Platform & Governance

Huron Consulting Group Inc.

Chicago (IL)

On-site

USD 150,000 - 210,000

Full time

5 days ago
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Job summary

Huron Consulting Group Inc. seeks a hands-on Technical Architect to own the AI context data platform, including ingestion, embeddings, and retrieval. You will drive architectural decisions with engineering, product, and AI teams to deliver production-grade AI data products across the platform.

The role emphasizes security-by-design, governance, and scalable data patterns, with opportunities to grow into people leadership as the team matures.

Qualifications

  • 8–12+ years in data engineering, data architecture, or platform roles with hands-on delivery
  • Expert SQL and strong Python (or Scala/Java) and production engineering habits
  • Snowflake expertise with data modeling, pipelines, and scale in prod
  • Cloud data architectures on AWS/Azure/GCP incl. storage, compute, orchestration
  • Experience with vector search and embeddings and retrieval patterns
  • dbt or comparable semantic layer tooling in production
  • Proven ability to lead cross-functional technical initiatives and drive alignment
  • Strong written and verbal communication for technical and non-technical audiences

Responsibilities

  • Architect and own the AI context platform end-to-end
  • Define scalable patterns for data ingestion, enrichment, and retrieval
  • Oversee governance, RBAC/PII controls, and security-by-design
  • Lead platform reliability, CI/CD, testing, and performance improvements
  • Collaborate with security/compliance to enforce guardrails for AI access
  • Mentor engineers and drive architectural decisions across teams

Skills

Data engineering
Data architecture
Python
Snowflake
Cloud (AWS/Azure/GCP)
Vector search
dbt
Leadership
Communication

Education

Bachelor's degree in CS/Engineering

Tools

Snowflake
dbt
Pinecone
Weaviate
OpenSearch/Elastic

Job description

Huron Consulting Group Inc. seeks a hands-on Technical Architect to own the AI context data platform, including ingestion, embeddings, and retrieval. You will drive architectural decisions with engineering, product, and AI teams to deliver production-grade AI data products across the platform.

The role emphasizes security-by-design, governance, and scalable data patterns, with opportunities to grow into people leadership as the team matures.

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