Delivery Solution Architect – Hybrid Cloud, Infrastructure & AI Solutions
Tasks
- Define adoption roadmaps
- Design hybrid cloud and AI architectures
- Develop AI workload cost models
- Enable AI ready platforms with data pipelines and model hosting
- Ensure security compliance and ethical AI principles
- Integrate on premises and cloud AI ML services
- Lead architecture workshops
- Monitor and optimize hybrid cloud and AI performance with automation and AIOps
- Oversee migration of applications and AI workloads
- Provide strategic guidance on hybrid cloud AI data platforms
Perks/Benefits
- N/A
Skills/Tech-stack
AI/ML | AI/ML architecture | AIOps | Accelerator Workloads | Artificial Intelligence | Automation | CI/CD | Cloud Architecture | Compute | Containers | Data Pipelines | DevOps | Feature Store | GPU Workloads | Hybrid Cloud | ITIL | ITSM | IaaS | Inference | Infrastructure architecture | Kubernetes | Linux | ML Architecture | MLOps | Machine Learning | Microservices | Model Training | Networking | PaaS | Private Cloud | Storage | Virtualization | Windows
Education
N/A
Roles
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