AI Lab Infrastructure Engineer
- Location
- Remote (US)
- Listed
- 2 days ago
About the role
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
- 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
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 solutions
- Proficiency in VCS (Git/GitHub), modern coding languages (Python,.NET, Java, etc.), Software Development Life Cycle, and CI/CD practices
- Experience with API design and implementation for distributed systems
- Knowledge of GPU infrastructure and optimization for AI workloads
- Hands-on experience with AWS Services including:
- EC2/Lambda (apps/functions)
- SageMaker (ML)
- S3 (file management)
- Fargate/ECS/EKS (containerization)
- CDK/Terraform (IaC)
- Cost Explorer/Budgets
Preferred
- Experience with LLM deployment and optimization (OpenAI, Anthropic, etc.)
- Background in building AI/ML infrastructure and platforms
- Experience with virtual desktop infrastructure (VDI) or remote access solutions
- Knowledge of distributed computing and job scheduling systems
- AWS certifications (Solutions Architect, Machine Learning, or similar)
- Experience with cost management and optimization strategies in the cloud
- Familiarity with security best practices for AI systems and data handling
About BRG
BRG combines world-leading academic credentials with world-tested business expertise purpose-built for agility and connectivity, which sets us apart-and gets you ahead.
At BRG, our top-tier professionals include specialist consultants, industry experts, renowned academics, and leading-edge data scientists. Together, they bring a diversity of proven real-world experience to economics, disputes, and investigations; corporate finance; and performance improvement services that address the most complex challenges for organizations across the globe.
Our unique structure nurtures the interdisciplinary relationships that give us the edge, laying the groundwork for more 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.
Equal opportunity and legal notices
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 genetic characteristics or information, veteran status, or mental or physical disability so long as the essential functions of the job can be performed with or without reasonable accommodation, or any other protected category under federal, state, or local law.
From Think BRG's careers page, first listed on Rolev.ai on November 8, 2026. Rolev.ai is not the employer.
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Common questions
Where is the AI Lab Infrastructure Engineer job at Think BRG located?
Yes, this AI Lab Infrastructure Engineer opening at Think BRG is listed as Remote (US). Always check Think BRG's application page for specific state eligibility or relocation policies.
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This listing links directly to Think BRG's Workday application page. You can apply directly on Think BRG's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Workday application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.