Solution Architect — Data & AI Platform
Tasks
- Architect rag and llm enablement capabilities
- Collaborate with engineering data AI and business stakeholders
- Define data and ai platform architecture using databricks
- Design agentic ai workflows for metadata discovery and lineage analysis
- Design ai ready data products and governed analytics
- Design secure scalable deployment patterns for data and ai capabilities
- Enable ai assisted documentation and pipeline troubleshooting
- Establish data governance standards and governed data products
- Implement automation and CI CD for reliable delivery
- Integrate metadata intelligence and semantic context into ai analytics
Perks/Benefits
- Collaborative environment
- Contract engagement
- Cutting-edge technology exposure
- High-impact projects
- Remote work
- Senior-level ownership
- Strategic influence
Skills/Tech-stack
AI Evaluation | Agentic AI | CI/CD | Data Governance | Data Products | Databricks | Delta Lake | Embeddings | Grounding | LLMs | Lakehouse Architecture | Metadata Management | Model Serving | Prompt orchestration) | RAG | SQL | Semantic Modeling | Semantic Search | Unity Catalog | Vector Search
Education
N/A
Roles
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