Solution Architect — Data & AI Platform

Tasks

• Architect secure LLM enablement for RAG and embeddings
• Define data and AI platform architecture
• Deploy secure scalable data and AI capabilities
• Design agentic AI workflows for metadata and data quality
• Develop AI ready data product architecture patterns
• Drive automation and CI CD for reliable platform delivery
• Enable AI assisted documentation and troubleshooting automation
• Establish governed data product standards and semantic layers
• Integrate metadata intelligence into AI analytics experiences
• Translate requirements into architecture solutions

Perks/Benefits

• Collaborative environment
• Contract engagement
• Cutting-edge technology exposure
• High-impact projects
• Remote work
• Strategic influence

Skills/Tech-stack

AI Evaluation | Agentic AI | CI/CD | Data Engineering | Data Governance | Data Lineage | Data Products | Data Quality | Databricks | Delta Lake | Embeddings | Grounding | LLM | Lakehouse | Metadata Management | Model Serving | Prompt orchestration) | RAG | Retrieval-Augmented Generation | SQL | Semantic Modeling | Semantic Search | Semantic layers | Unity Catalog | Vector Search