Solution Architect — Data & AI Platform
Tasks
- Architect RAG and vector search solutions
- Collaborate with engineering data AI and business stakeholders
- Define data and AI platform architecture
- Define secure scalable deployment patterns
- Design LLM model serving integration
- Design governed data products
- Design metadata discovery and lineage analysis workflows
- Design semantic search capabilities
- Develop agentic AI workflows for data discovery
- Enable AI assisted documentation and troubleshooting
- Establish AI evaluation approaches
- Implement lakehouse architecture patterns
- Integrate metadata intelligence into analytics experiences
- Promote CI CD automation for reliable delivery
- Set architecture standards for semantic layers and metrics
Perks/Benefits
- Collaborative environment
- Contract engagement
- Cutting-edge technology exposure
- High-impact projects
- Remote work
- Strategic influence
Skills/Tech-stack
AI Evaluation | Agentic AI | Automation | CI/CD | Data Governance | Data Lineage | Data Products | Data Quality | Databricks | Delta Lake | Embeddings | Generative AI | Grounding | LLM | Lakehouse | Metadata Management | Model Serving | Prompt orchestration) | Retrieval-Augmented Generation | SQL | Security Architecture | Semantic Modeling | Semantic Search | Semantic layers | Unity Catalog | Vector Search
Education
N/A
Roles
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