Data Scientist

Role Overview

Optum AI leverages data and resources to make a significant impact on the healthcare system. This role is responsible for architecting, designing, and delivering end-to-end Generative AI solutions aligned with enterprise business objectives and technology strategy. You will focus on building scalable, secure, and production-ready GenAI architectures and designing multiagent architectures to enable complex, autonomous, end-to-end AI-driven workflows.

Responsibilities

• Architect, containerize, and deploy LLM applications in cloud environments using Docker, Podman, and Kubernetes.
• Apply expertise in RAG architectures, vector databases, and multiagent frameworks.
• Build intelligent document processing solutions using OCR technologies like Azure Document Intelligence and Tesseract.
• Design and deploy end-to-end data pipelines and machine learning models using Azure and Databricks.
• Maintain CI/CD pipelines for GenAI and ML workloads using GitHub Actions and Azure DevOps.

Requirements

• Bachelor's degree or higher in Computer Science, Engineering, or a related field.
• 3-7+ years of experience in Gen AI/Agentic AI, NLP, and LLMs.
• Hands-on experience with LangChain, LlamaIndex, Hugging Face, LangGraph, CrewAI, or AutoGen.
• Deep understanding of Prompt engineering, Embeddings, and Retrieval Augmented Generation (RAG).
• Experience with Azure OpenAI and Azure Machine Learning.

Skills

• Azure OpenAI
• LangChain
• Kubernetes
• Python
• Databricks