Senior GenAI & RAG Scientist for Enterprise AI

Prudent Technologies and Consulting, Inc.; Dallas (TX); On-site; USD 140,000 - 200,000; Full time

Job summary

Prudent Technologies and Consulting, Inc. seeks a Senior Data Scientist to design and deploy GenAI and Retrieval-Augmented Generation (RAG) solutions for enterprise clients in Dallas.

You will translate complex business problems into scalable ML and AI strategies and collaborate with product and engineering teams. The ideal candidate has hands-on experience with LangGraph, LangChain, MCP, vector databases, AWS, and MLOps, plus strong Python and SQL skills and a solid background in ML,

Qualifications

• Hands-on experience with Agentic AI and multi-agent systems.

Responsibilities

• Build and deploy RAG (Retrieval-Augmented Generation) systems & AI chat interfaces.
• Work closely with client data science teams (ML/DL ecosystems)
• Develop GenAI-based enterprise knowledge solutions
• Collaborate directly with stakeholders and customers
• Develop and implement machine learning algorithms to solve complex business problems.
• Analyze large datasets to generate insights and inform decision-making processes.
• Collaborate with product managers and engineers to integrate data science solutions into enterprise products.
• Communicate findings and recommendations effectively to technical and non-technical stakeholders.
• Stay current with the latest advancements in data science and machine learning technologies.

Skills

Python

R

TensorFlow

PyTorch

Scikit-learn

SQL

Tableau

Power BI

Spark

Hadoop

LangChain

LangGraph

MCP

Vector Databases

AWS

MLOps

Tools

LangGraph

LangChain

MCP

Vector Databases

Job description

Prudent Technologies and Consulting, Inc. seeks a Senior Data Scientist to design and deploy GenAI and Retrieval-Augmented Generation (RAG) solutions for enterprise clients in Dallas.

You will translate complex business problems into scalable ML and AI strategies and collaborate with product and engineering teams. The ideal candidate has hands-on experience with LangGraph, LangChain, MCP, vector databases, AWS, and MLOps, plus strong Python and SQL skills and a solid background in ML,