Lead Data & AI Architect

What were 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,