This role will focus on creating a virtual access layer that makes our high-performance Ai Lab remotely accessible to teams across BRG
Job Summary
This role will focus on creating a virtual access layer that makes our high-performance Ai Lab remotely accessible to teams across BRG.
The Senior AI Infrastructure Engineer builds and maintains the core infrastructure powering the BRG AI Lab, including compute environments, distributed processing systems, and infrastructure automation.
BRG combines world-leading academic credentials with world-tested business expertise purpose-built for agility and connectivity.
Matching Summary
This role will focus on creating a virtual access layer that makes our high-performance Ai Lab remotely accessible to teams across BRG.
Skills & Requirements
Must-have
Scalable compute environments for AI
Distributed document processing pipelines
Infrastructure as code automation
GPU workload optimization
Monitoring and observability systems
Secure handling of client data
Nice-to-have
Remote or hybrid work flexibility
Collaborative team environment
Interdisciplinary relationship nurturing
Key Requirements
6–8 years experience in infrastructure or distributed systems engineering
Experience with AWS, Azure, or GCP
Strong Python or backend engineering skills
Experience with infrastructure-as-code tools
Familiarity with AI/ML workloads or data processing pipelines