Optum is seeking to improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best, and is looking to leverage emerging AI technologies to reduce manual work, accelerate delivery, and improve Net Promoter Score (NPS) within the Pharmacy domain.
Requirements
- Hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, and frameworks such as LangGraph and LangChain
- Solid proficiency in Python
- Experience with deep learning frameworks like TensorFlow, PyTorch, or Keras
- 4+ years of hands-on experience with Python and version control tools like GitHub
- 4+ years of experience with deep learning frameworks (e.g., PyTorch, TensorFlow)
- 3+ years of experience deploying AI/ML solutions in production environments
- Familiarity with cloud platforms (Azure, AWS, Google Cloud)
Responsibilities
- Design, develop, and deploy AI/ML models using GenAI technologies (LLMs, RAG, Agentic AI)
- Utilize frameworks such as LangGraph, LangChain, TensorFlow, PyTorch, or Keras for model development
- Build models that generate new data samples, patterns, or content based on existing inputs
- Deploy AI/ML solutions in production environments, preferably on cloud platforms like Azure
- Conduct rigorous model testing, validation, and performance optimization
- Containerize AI/ML projects and implement CI/CD pipelines using tools like GitHub Actions
- Collaborate with stakeholders to preprocess, analyze, and interpret large-scale datasets
Other
- Bachelor's degree or equivalent experience in Computer Science, Data Science, or related field
- 7+ years of industry or academic experience in AI/ML or Data Science
- Work Eastern Time Zone hours to support collaboration across a global team
- Participate in on-call rotations as scheduled
- Adhere to UnitedHealth Group's Telecommuter Policy
