AI Lab Infrastructure Engineer
Skills
Cloud ComputingCloud InfrastructureComputer ScienceArtificial IntelligenceFile ManagementGitInfrastructure As Code
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Bachelor's degree in Computer Science Information Technology or related field
- 6-8 years of experience designing deploying and managing scalable cloud infrastructure
- Strong experience with Infrastructure as Code tools and methodologies
- Experience designing implementing and maintaining secure and cost-efficient cloud and on-prem solutions
- Proven ability to manage and lead projects to deliver high-quality replicable solutions
- Proficiency in Git or GitHub modern coding languages SDLC 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 SageMaker S3 Fargate ECS EKS CDK Terraform Cost Explorer and Budgets
Nice to have
- LLM optimization
- AI platform building
- VDI experience
- Distributed computing
- AWS certifications
- Cloud cost optimization
- AI security awareness
Day to day
- Architect and build a secure virtual access layer for BRG's physical AI Lab.
- Design scalable remote processing infrastructure to support 100,000+ documents per day.
- Develop customizable interfaces and resource controls for multiple business units using cloud and LLM technologies.