AI Lab Infrastructure Architect — Remote Access & Scale

BRG

United States

On-site

USD 120,000 - 160,000

Full time

14 days+

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Job summary

BRG is seeking an experienced AI Infrastructure Engineer to lead the development of our Virtual AI Lab initiative. This role focuses on creating scalable infrastructure to process over 100,000 documents daily using cutting-edge LLMs.

You will design a secure virtual access layer, optimize resource allocation, and ensure efficient remote processing capabilities for BRG teams. Candidates should have a strong technical background with AWS services, Infrastructure as Code, and modern programming skills.

Qualifications

  • Minimum 6-8 years of experience designing and managing cloud infrastructure.
  • Strong knowledge of Infrastructure as Code methodologies.
  • Experience in API design for distributed systems.

Responsibilities

  • Design and implement a virtual access layer for the physical AI Lab.
  • Ensure high availability and fault tolerance for mission-critical workloads.
  • Optimize infrastructure for maximum LLM token throughput.

Skills

Designing scalable infrastructure
Hands-on experience with AWS Services
Infrastructure as Code (IaC)
Modern coding languages (Python, .NET, Java)

Education

Bachelor's degree in Computer Science or related field

Tools

AWS (EC2, Lambda, SageMaker)
Terraform
Git/GitHub

Job description

BRG is seeking an experienced AI Infrastructure Engineer to lead the development of our Virtual AI Lab initiative. This role focuses on creating scalable infrastructure to process over 100,000 documents daily using cutting-edge LLMs.

You will design a secure virtual access layer, optimize resource allocation, and ensure efficient remote processing capabilities for BRG teams. Candidates should have a strong technical background with AWS services, Infrastructure as Code, and modern programming skills.

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