Solution Architect — Data & AI Platform
Tasks
- Architect secure LLM and generative AI enablement
- Collaborate with stakeholders to translate requirements into architecture
- Define data and AI platform architecture
- Define secure scalable deployment patterns
- Define semantic layer and business definition standards
- Design RAG and vector search solutions
- Develop AI ready data product architecture
- Drive CI/CD automation for data and AI platforms
- Enable AI assisted documentation and troubleshooting
- Establish data governance and governed metrics standards
- Implement agentic AI workflows for data operations
- Integrate metadata intelligence into AI analytics
Perks/Benefits
- Collaborative environment
- Contract engagement
- Cutting-edge technology exposure
- High-impact projects
- Remote work
- Senior level scope
- Strategic influence
Skills/Tech-stack
AI Evaluation | Agentic Workflows | Automation | CI/CD | Data Governance | Data Lineage | Data Products | Data Quality | Databricks | Delta Lake | Embeddings | Grounding | Lakehouse | Language Models | Large Language Models | Metadata Management | Model Serving | Prompt orchestration) | RAG | SQL | Semantic Modeling | Semantic Search | Semantic layers | Unity Catalog | Vector Search
Education
N/A
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