Job Summary

We are looking for an experienced AI Data Architect to design and build an enterprise AI-ready data platform that serves as the single source of truth for AI applications, including RAG, Agentic AI, Conversational AI, ML models, and analytics.

Key Responsibilities

- Design enterprise AI data platform and Lakehouse architecture.
- Build batch & real-time data pipelines.
- Develop semantic models, knowledge graphs, and vector databases.
- Architect RAG and LLMOps infrastructure.
- Implement data governance, security, and AI observability.
- Modernize legacy data platforms to cloud-native architectures.

Required Skills

- Python, SQL, PySpark
- Databricks, Delta Lake, Snowflake
- Kafka, Spark Structured Streaming
- AWS / Azure
- LangChain, LlamaIndex
- OpenAI, Claude, Bedrock
- Pinecone, FAISS, ChromaDB, Neo4j




- MLflow, Docker, Kubernetes, Terraform
- FastAPI, GitHub Actions, Jenkins
- Data Governance, RBAC, CI/CD

Requirements

- 12+ years in Data Engineering/Data Architecture.
- Experience with AI/ML, RAG, LLMOps, and enterprise AI platforms.
- Robust expertise in Lakehouse, Data Mesh, Cloud, and Vector Databases.
- Hands-on experience with enterprise-scale AI data architecture and governance.

Skills:- Python, PySpark, Architecture, Data architecture, Snowflake, AI/ML, Amazon Web Services (AWS), Azure, Kafka, Retrieval Augmented Generation (RAG), Vector, LLMOps and MLOps

📌 AI Data Architect (Bengaluru)
🏢 BIG IT JOBS
📍 Bengaluru