Senior AI Infrastructure Architect

Arkana Laboratories; Little Rock (AR); On-site; USD 150,000 - 220,000; Full time

Benefits offered by this job

Competitive salary

Generous paid time off

Health insurance

401(k) with match

Life insurance

Disability coverage

Dental and vision plans

Job summary

Arkana Laboratories in Little Rock, Arkansas, seeks a Principal Infrastructure Engineer to lead architecture and build efforts for AI and clinical platforms. This onsite role reports to the Director of Technology Operations and focuses on a hybrid cloud strategy, scalable GPU clusters, and secure data pipelines.

You will mentor engineers, set standards, and drive modernization of on‑premises and cloud infrastructure to support healthcare analytics and AI workloads.

Qualifications

• 8+ years of deep infrastructure and systems engineering experience.
• Expert level cloud platform knowledge, with deep Azure experience strongly preferred and AWS familiarity a plus.
• Hands on mastery of Infrastructure as Code (Terraform or similar), containerization, and modern automation.

Responsibilities

• Design and stand up our GPU training cluster, including node architecture, power, cooling, storage, and expansion planning.
• Architect inference infrastructure for self hosted open weight models serving internal and clinical applications.
• Design the data pipelines and storage tiers that feed model training on terabyte scale pathology imagery.
• Own cloud architecture for our custom applications, primarily on Azure with some AWS, including Arkana Connect and analytics platforms.

Skills

Infrastructure design

Cloud platforms

AWS

Terraform

Automation

Tools

Azure

AWS

Kubernetes

Job description

Arkana Laboratories in Little Rock, Arkansas, seeks a Principal Infrastructure Engineer to lead architecture and build efforts for AI and clinical platforms. This onsite role reports to the Director of Technology Operations and focuses on a hybrid cloud strategy, scalable GPU clusters, and secure data pipelines.

You will mentor engineers, set standards, and drive modernization of on‑premises and cloud infrastructure to support healthcare analytics and AI workloads.