Delivery Solution Architect – Hybrid Cloud, Infrastructure & AI Solutions
Tasks
- Conduct requirement workshops
- Create cost models for AI workloads
- Design hybrid cloud and AI enabled architectures
- Develop adoption roadmaps with milestones
- Enable AI ready platforms with data pipelines model hosting and inferencing
- Integrate on premises infrastructure cloud platforms and AI ML services
- Lead end-to-end solution design
- Monitor and optimize hybrid cloud and AI performance with automation and AIOps
- Oversee application data and AI workload migrations
- Provide strategic guidance for hybrid cloud and AI adoption
- Support secure compliant and ethical AI implementation
Perks/Benefits
Skills/Tech-stack
AIOps | Artificial Intelligence | As-a-Service | Automation | CI/CD | Containers | Data Pipelines | DevOps | Feature Store | GPU Acceleration | Hybrid Cloud | ITIL | ITSM | Infrastructure as a Service | Kubernetes | Linux | MLOps | Machine Learning | Microservices | Model Inferencing | Model Training | Platform as a Service | Virtualization | Windows
Education
N/A
Roles
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