Data and AI Solution Architect
Tasks
- Advise on business value
- Align security privacy compliance
- Architect Copilot integration
- Architect resiliency and monitoring
- Create traceability matrix
- Define architecture
- Design AI and GenAI patterns
- Design agentic AI architecture
- Design cross cloud data integration
- Document architecture decisions
- Drive solution governance
- Ensure responsible AI by design
- Establish MLOps and LLMOps foundations
- Gather customer requirements
- Lead enterprise data architecture
- Lead virtual technical teams
- Manage requirements ambiguity
- Plan cloud migration modernization
- Support presales to production delivery
Perks/Benefits
Skills/Tech-stack
Agentic AI | Cloud Architecture | Cloud Integration | Cloud Migration | Cloud Resiliency | Copilot | Cross-cloud | Cross-cloud integration | Data Governance | Data Lake | Data Lineage | Data Quality | Data Warehouse | Embeddings | Enterprise Architecture | Evaluation Feedback Loops | Federated Analytics | Feedback loops | GenAI | Human-in-the-loop | LLMOps | Lakehouse | Language Models | Large Language Models | MLOps | Model Monitoring | Multi-cloud | Multi-cloud architecture | Observability | Operational excellence | Performance Tuning | Privacy Compliance | Prompt orchestration) | RAG | Retrieval-Augmented Generation | Security Compliance | Semantic Modeling | Streaming Data | The Loop | Vector Search | Zero Trust
Education
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