Lead II - Product Architect

About the role

The ideal candidate will bridge data architecture and AI application development, enabling advanced analytics, Knowledge Graphs, GraphRAG, and LLM-powered business solutions while ensuring scalability, governance, security, and operational excellence. As an AI Architect, you will lead the design and implementation of AI/ML applications on top of enterprise data ecosystems, including data lakes, warehouses, and lakehouse platforms.

What you'll do

• Define end-to-end architecture spanning data ingestion, modeling, Knowledge Graphs, AI/ML pipelines, MLOps, and GenAI applications
• Define and drive end-to-end architecture for AI, ML, and Generative AI solutions
• Design and develop AI applications leveraging both structured and unstructured enterprise data
• Architect scalable data platforms including Data Lakes, Data Warehouses, and Lakehouse architectures
• Build and optimize data ingestion, ETL/ELT, streaming, and transformation pipelines

What you need

• 12–15 yrs of experience
• SQL
• Python
• AWS
• Kafka
• LLMs
• Machine learning
• M.Sc or B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA

Good to have

• Data structures
• ETL
• MLOps
• Data modelling
• Spark
• Data warehousing