AI Infrastructure Architect
BENGALURU, KARNATAKA, India
INR 2500K-4500K (estimate) Senior-level Full Time
Tasks
- Architect LLM hosting and GPU infrastructure
- Architect end-to-end AI infrastructure
- Build container/Kubernetes AI platforms
- Conduct security threat modeling and mitigation
- Define observability and reliability standards
- Design disaster recovery strategies
- Design enterprise network topologies
- Design secure scalable AI/ML/LLM platforms
- Ensure secure data movement
- Guide build and rollout
- Implement security controls and guardrails
- Lead InfoSec compliance
- Lead stakeholder engagement and mentoring
- Produce implementation artifacts
Perks/Benefits
- Disability accommodations
- Flexible medical benefits
- Life insurance
- Retirement options
- Volunteer programs
Skills/Tech-stack
AI frameworks | Automation | Cloud infrastructure | Containerization | Encryption | Enterprise Security | GPU platforms | IAM | Kubernetes | Multi-cloud | Networking | Observability | Python | Risk Assessment | Security Architecture | Shell Scripting | Terraform | Vault
Education
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