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
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.
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.
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.