Role & responsibilities

We are looking for an experienced Data Science Architect with a solid background in Data Science, Machine Learning, and Generative AI. The candidate should have hands-on experience designing and implementing RAG-based solutions using LangChain and integrating Large Language Models (LLMs) into enterprise applications.

Key Responsibilities
Architect and develop enterprise-grade GenAI and RAG solutions.
Build RAG pipelines covering document ingestion, chunking, embeddings, retrieval, prompt orchestration, and response generation.
Develop LLM applications using LangChain.
Work with vector databases and semantic search technologies.
Evaluate and optimize retrieval quality, LLM responses, latency, and overall solution performance.
Design traditional Data Science/ML solutions using Python and relevant ML frameworks.
Define scalable AI/ML solution architectures and integration patterns.
Work closely with data engineering,



application development, cloud, security, and business teams.
Provide technical guidance on AI architecture, solution design, and implementation.

Mandatory Skills
RAG (Retrieval-Augmented Generation)
LangChain
Generative AI / LLMs
Python
Machine Learning / Data Science
NLP and embeddings
Vector databases / vector search
Prompt engineering
LLM application development
API/application integration
Solid solution architecture and design experience

Preferred Skills
LangGraph
Azure OpenAI / OpenAI or equivalent LLM platforms
Azure AI Search or similar retrieval/search platforms
Databricks / Spark
MLflow / MLOps
FAISS, Pinecone, Weaviate, Chroma or equivalent vector stores
Cloud experience, preferably Azure

Preferred candidate profile

📌 Data Scientist Architect Hyderabad
🏢 Innominds Software
📍 Hyderabad