Lead Data Scientist - GenAI
Core
Design, develop, and deploy scalable Generative AI solutions and LLM-powered applications for Fortune 500 clients to solve business problems and generate value.
Role type
Lead Data Scientist (GenAI)
Builds
Production GenAI models, LLM applications, and agentic AI workflows
Domain
Consulting, Generative AI, Cloud Data Engineering
Deliverable
production ML models | product features
Required skills
Generative AI modeling, LLM application development, agentic AI workflow orchestration, Databricks (PySpark, Delta Lake), Azure OpenAI, Azure AI Foundry, Document Intelligence, Python, SQL, MLflow, Databricks Model Serving, end-to-end ML pipeline design, CI/CD for ML, scalable AI system design
Preferred skills
Experience embedding analytic outputs in business processes, model governance, senior management presentation skills
Technologies
Databricks, Azure Data Factory, Azure Blob Storage, Azure OpenAI, Azure AI Foundry, Document Intelligence, LangGraph, MLflow
Responsibilities
Design and develop machine learning and Generative AI solutions using Databricks and Azure AI services; Build LLM-powered applications leveraging Azure OpenAI and orchestrate workflows using LangGraph; Develop agentic AI workflows for automation, insights generation, and decision support; Implement Document Intelligence solutions for extracting insights from unstructured data; Present analytic solutions to business audiences highlighting robustness and business value; Participate in discussions to select and apply relevant analytic techniques; Make presentations to senior management and develop plans to operationalize analytic solutions
Seniority
Senior, hands-on IC with leadership responsibilities
