UnitedHealth Group is looking to leverage advanced AI/ML solutions, specifically Generative AI technologies like LLMs, RAG, and Agentic AI, to improve health outcomes within the Pharmacy domain. The goal is to reduce manual work, accelerate delivery, and enhance Net Promoter Score (NPS) by developing scalable AI/ML architectures, prototypes, and reference implementations.
Requirements
- 5+ years of experience with Python and version control tools like GitHub
- 5+ years of experience with deep learning frameworks (e.g., PyTorch, TensorFlow)
- 4+ years of experience deploying AI/ML solutions in production environments
- Experience with Git management and CI/CD best practices
- Experience designing high-level cloud architecture for AI/ML solutions
- Familiarity with cloud platforms (Azure, AWS, Google Cloud)
Responsibilities
- Design and develop AI/ML solutions using GenAI technologies (LLMs, RAG, Agentic AI)
- Build solution architectures, prototypes, and reference implementations
- Apply deep learning frameworks such as TensorFlow, PyTorch, or Keras
- Lead development of models that generate new data samples, patterns, or content
- Ensure responsible AI practices, including governance, ethics, and compliance
- Deploy AI/ML projects in production environments with a focus on scalability and reliability
- Manage intake, coordination, and execution of engineering workloads
Other
- Mentor and coach junior engineers to build team capability
- Influence cross-functional teams and drive alignment across enterprise initiatives
- Collaborate with stakeholders across Operations, Product, Architecture, and Quality Management
- Communicate clearly and effectively to align technical and business goals
- Contribute to Pharmacy Modernization efforts aligned with enterprise strategy
