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Senior Data Scientist - Cognizant
Data Scientist
Lead the design and deployment of production‑grade LLM‑powered applications and agentic workflows, crafting end‑to‑end solutions from architecture to production using Python, modern LLM frameworks, RAG pipelines, and scalable vector‑database systems.
About the role
Key Responsibilities
- Architect and deliver end‑to‑end LLM‑powered applications and agentic workflows, ensuring robust performance and scalability.
- Design and implement Retrieval‑Augmented Generation (RAG) pipelines over enterprise data, leveraging embeddings and vector databases.
- Build multi‑step, tool‑using agents with planning, execution, and memory capabilities using state‑of‑the‑art frameworks.
- Own the full development lifecycle—from system design and prototyping to deployment, monitoring, and continuous improvement.
- Collaborate with cross‑functional teams to translate business requirements into technical specifications and deliver actionable insights.
Requirements
- Extensive experience with Python and modern LLM frameworks (e.g., LangChain, LlamaIndex).
- Proven track record in building RAG pipelines and integrating vector databases (e.g., Pinecone, Weaviate).
- Strong background in designing agentic systems with multi‑step reasoning and tool integration.
- Hands‑on expertise in scalable system design, cloud deployment, and performance optimization.
- Excellent communication skills and ability to mentor junior engineers.