AI Lab Infrastructure Engineer
AI summary of the role
Lead the development of a virtual access layer for BRG's physical AI Lab, enabling remote teams to process 100,000+ documents daily using LLMs from OpenAI and Anthropic.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Design and implement 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)
What you’ll bring
- Bachelor's degree in Computer Science, Information Technology, or a related field
- Minimum six to eight (6-8) years of hands-on experience designing, deploying, and managing scalable cloud infrastructure
- Strong experience with Infrastructure as Code (IaC) tools and methodologies
- Hands-on experience with AWS Services including EC2/Lambda, SageMaker, S3, Fargate/ECS/EKS, CDK/Terraform, Cost Explorer/Budgets
Technologies
OpenAI · Anthropic · AWS · EC2 · Lambda · SageMaker · S3 · Fargate · ECS · EKS · CDK · Terraform
About BRG
Global expert-services consultancy advising law firms, corporations, investors, and government agencies on disputes, investigations, corporate finance, performance improvement, and regulated AI.
Acquired · 1000–2000 people
Source and classification
Internal deployment & tooling · Evidence for this classification:
We do Consulting Differently Berkeley Research Group's Ai Department is seeking an AI Infrastructure Engineer to lead the development of our Virtual Ai Lab initiative. Following the successful completion of Phase 01 (physical Ai Lab build-out), this role will focus on creating a virtual access layer that makes our high-performance Ai Lab remotely accessible to teams across BRG. The ideal candidate will design and implement scalable infrastructure to support processing 100,000+ documents daily using state-of-the-art LLMs from OpenAI and Anthropic. About the Role As an AI Infrastructure Engineer, you will architect and build the virtual access interface for our physical Ai Lab, ensuring secure, scalable, and efficient remote processing capabilities. You will lead the design and implementation of infrastructure that allows BRG teams to leverage our Ai Lab's computational power remotely,
More from the job description
We do Consulting Differently Berkeley Research Group's Ai Department is seeking an AI Infrastructure Engineer to lead the development of our Virtual Ai Lab initiative. Following the successful completion of Phase 01 (physical Ai Lab build-out), this role will focus on creating a virtual access layer that makes our high-performance Ai Lab remotely accessible to teams across BRG. The ideal candidate will design and implement scalable infrastructure to support processing 100,000+ documents daily using state-of-the-art LLMs from OpenAI and Anthropic. About the Role As an AI Infrastructure Engineer, you will architect and build the virtual access interface for our physical Ai Lab, ensuring secure, scalable, and efficient remote processing capabilities. You will lead the design and implementation of infrastructure that allows BRG teams to leverage our Ai Lab's computational power remotely, while maintaining performance standards for large-scale document processing. Key responsibilities include developing customizable interfaces for different BRG groups, implementing secure access controls, and ensuring optimal resource allocation for concurrent users processing massive datasets through LLMs. Key Responsibilities Design and implement a virtual access layer for the physical Ai Lab infrastructure Build scalable remote processing capabilities supporting 100,000+ documents per day [... source excerpt omitted ...] ecure authentication and access management systems Ensure high availability and fault tolerance for mission-critical AI workloads Lead infrastructure projects from conception to production deployment Required: Bachelor's degree in Computer Science, Information Technology, or a related field Minimum six to eight (6-8) years of hands-on experience designing, deploying, and managing scalable cloud infrastructure Strong experience with Infrastructure as Code (IaC) tools and methodologies Experience designing, implementing, and maintaining scalable, secure, and cost-efficient cloud/on-prem solutions Proven ability to manage and lead projects to deliver high-quality, replicable s [... source excerpt omitted ...] ore informed insights and more original, incisive thinking from diverse perspectives that, when paired with our global reach and resources, make us uniquely capable to address our clients’ challenges. We get results because we know how to apply our thinking to your world. At BRG, we don’t just show you what’s possible. We’re built to help you make it happen. BRG is proud to be an Equal Opportunity Employer. Our hiring practices provide equal opportunity for employment without regard to race, religion, color, sex, gender, national origin, age, United States military veteran status, ancestry, sexual orientation, marital status, family structure, medical condition including gene
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