Gen AI Architect

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 environments.
• 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