Solution Architect — Data & AI Platform

Tasks

• Architect secure LLM and generative AI enablement
• Conduct data lineage and data quality analysis
• Create AI assisted documentation and test generation
• Define data and AI platform architecture
• Deploy scalable secure data and AI capabilities
• Design RAG and embedding based analytics
• Develop agentic workflows for metadata discovery
• Drive CI CD automation for platform delivery
• Enable AI ready data products
• Establish governed data product and semantic layer standards
• Implement vector search and semantic search
• Integrate metadata intelligence into AI analytics
• Orchestrate prompts and AI evaluation

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 | CI/CD | Data Governance | Data Lineage | Data Products | Data Quality | Databricks | Delta Lake | Embeddings | Grounding | LLM | Lakehouse | Metadata Management | Model Serving | Prompt orchestration) | RAG | SQL | Semantic Modeling | Semantic Search | Semantic layer | Unity Catalog | Vector Search