AI Platform Lead & Architect

Saber Health Group

Beachwood (OH)

On-site

USD 180,000 - 260,000

Full time

9 days ago

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Benefits offered by this job

Make a Difference
Comprehensive Benefits
Generous PTO
Team Culture
Stability

Job summary

Saber is seeking a Platform Lead to architect our AI platform from the ground up and to build the engineering team that will bring it to life.

The role covers architecture, security, and infrastructure, sets engineering standards, leads governance, and requires breadth across distributed systems, cloud data, and AI.

You will guide production systems end-to-end and mentor engineers to deliver scalable, compliant solutions.

Qualifications

  • 10+ years of professional software and data engineering experience.
  • 3+ years at staff, principal, or lead level with architecture responsibility.
  • Production systems end-to-end experience from design to deployment at scale.
  • Experience architecting and operating a cloud data platform (Fabric, Snowflake, Databricks).
  • Production experience with applications backed by LLMs (Claude, GPT).
  • Experience designing secure data systems with HIPAA knowledge preferred.
  • Experience mentoring engineers and building high-performing teams.

Responsibilities

  • Lead architecture decisions for AI platform and data foundation.
  • Oversee security, governance, and engineering standards.
  • Build and mentor a high-performing engineering team.
  • Guide production systems end-to-end from design to deployment.

Skills

Engineering leadership
Cloud data platform
LLM integrations
Security & access control
Mentoring engineers
Production systems

Education

Bachelor's degree or higher in Computer Science / related field

Tools

Microsoft Fabric
Snowflake
Databricks

Job description

Saber is seeking a Platform Lead to architect our AI platform from the ground up and to build the engineering team that will bring it to life.

The role covers architecture, security, and infrastructure, sets engineering standards, leads governance, and requires breadth across distributed systems, cloud data, and AI.

You will guide production systems end-to-end and mentor engineers to deliver scalable, compliant solutions.

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