AI Lab Infrastructure Architect - Remote Access & Scale

LE001 Berkeley Research Group, LLC; Colorado; Hybrid; USD 140,000 - 200,000; Full time

Job summary

Berkeley Research Group is seeking an AI Infrastructure Engineer to architect and build the virtual access interface for our Ai Lab, enabling secure, scalable remote processing of large datasets with state-of-the-art LLMs. You will lead infrastructure across BRG groups, ensuring performance and reliability while enabling 100,000+ documents daily processing.

The role requires 6–8 years of cloud infrastructure experience, strong IaC skills, and proficiency in Python and modern languages.

Qualifications

• 6–8 years of hands-on experience designing, deploying, and managing scalable cloud infrastructure.
• Experience with Infrastructure as Code (IaC) tools and methodologies (Terraform, CDK, etc.).
• Experience designing, implementing, and maintaining scalable, secure, and cost-efficient cloud/on-prem solutions.
• Proven ability to manage and lead projects delivering high-quality, replicable solutions.

Responsibilities

• Design a virtual access layer for the physical Ai Lab infrastructure.
• Build scalable remote processing capabilities supporting 100,000+ documents per day.
• Create customizable, expandable interfaces for different BRG business units.
• Optimize infrastructure for maximum LLM token throughput (OpenAI/Anthropic).
• Implement secure authentication and access management systems.
• Ensure high availability and fault tolerance for mission-critical AI workloads.
• Lead infrastructure projects from conception to production deployment.

Skills

Python

CI/CD

API design

Distributed systems

GPU optimization

Cloud infrastructure

Git/GitHub

Education

Bachelor's degree in Computer Science or related field

Tools

Terraform

AWS CDK

SageMaker

EC2

S3

Fargate

ECS

EKS

Job description

Berkeley Research Group is seeking an AI Infrastructure Engineer to architect and build the virtual access interface for our Ai Lab, enabling secure, scalable remote processing of large datasets with state-of-the-art LLMs. You will lead infrastructure across BRG groups, ensuring performance and reliability while enabling 100,000+ documents daily processing.

The role requires 6–8 years of cloud infrastructure experience, strong IaC skills, and proficiency in Python and modern languages.