Solutions Architect - Lead
Tasks
- Advise on AI data pipelines
- Architect RAG based solutions
- Collaborate with cloud providers OEMs and technology partners
- Conduct proof of concept benchmarks and demos
- Deliver solution presentations
- Design AI-ready architectures
- Design scalable data pipelines
- Develop HLDs LLDs and technical proposals
- Enable field sales and partners on AI solutions
- Engage customers for AI and data requirements
- Lead customer workshops and discovery
- Optimize storage for AI workloads
- Provide market intelligence to Product and Leadership
- Recommend data governance frameworks
- Stay current with AI and cloud native trends
- Support RFI/RFP responses
- Support opportunity qualification and account strategy
Perks/Benefits
- N/A
Skills/Tech-stack
AI Data | AI data pipelines | AWS Machine Learning | Ansible | Azure AI | Cloud AI | Data Governance | Data Lakes | Data Pipelines | Data Warehousing | DataOps | Docker | Enterprise Storage | GPU clusters | GPU infrastructure | Generative AI | Google Cloud | Google Cloud AI | High Performance | High speed | High-Performance Computing | High-Speed Networking | Hybrid Cloud | Kubernetes | Language Models | Large Language Models | MLOps | Machine Learning | Microsoft Azure | Microsoft Azure AI | Multi-cloud | ONTAP | OpenShift | Performance Computing | Retrieval-Augmented Generation | StorageGRID | Terraform | Vector Databases
Education
N/A
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