Key Responsibilities:
Define system architecture tailored for LLM execution, managing multi-layer database models (raw, stg, core, fact, mart) and context window design in close collaboration with the client POC
Architect resilient ingestion pipelines for high-volume public APIs, BigQuery historical backfills, social scrapers, and AI-driven entity resolution engines.
Establish strict physical data boundary rules between shared data pools and isolated client settings.
Set protocols for system fallback behaviour, rate-limiting, cost caps, and agentic health monitoring.
Deep expertise in AI-era database architecture (BigQuery/SQL), prompt/system design, data security, and high-throughput data pipelines, RAG systems
Prepare HLD/LLD/Deployment diagram and other required documentation with the support from tech lead
Provide overall technical oversight to the team
Brainstorming with the client POCs for the future roadmap, create prototypes to check feasibility of upcoming GenAI innovations in the industry
Mentor team in overall GenAI solutioning to ensure they are following industry best practices

📌 Gen Ai Architect Pune
🏢 Cybage
📍 Pune