Lead Data AI Architect

About the job

What we’re really looking for: • 10+ years of experience in Data Engineering / AI Platforms • Strong hands-on experience with Python (FastAPI / Flask) • Advanced SQL for large-scale, low-latency systems • Experience building AI-enabled data pipelines • Working experience on AWS / GCP / Azure • Hands-on with LLMs / GenAI (OpenAI, Azure OpenAI, LangGraph, MLflow) • Experience with data quality automation, anomaly detection & monitoring • Exposure to data catalogs, governance, lineage, and compliance • Comfortable owning production systems end-to-end Nice to have: • NLP for document intelligence (classification, extraction, summarization) • Spark / Distributed data processing • Regulated or enterprise-scale environments Role Focus: • AI-driven data ingestion & enrichment • Automated data quality & governance • Intelligent data catalogs & lineage • Predictive risk detection • AI copilots for analytics & data consumers. This is a hands-on platform engineering role.