The Enterprise AI organization at Humana is looking to solve business problems in the Insurance and CenterWell business segments by developing AI solutions to improve care quality and customer experience. They are seeking to create safe, reliable, interpretable, and steerable AI systems that revolutionize and improve healthcare experience and outcomes for their customers.
Requirements
- Experience with Agentic AI System Design
- Experience collaborating with MLOps and DevOps teams
- Proficiency in SQL, Python, and data analysis/data mining tools
- Experience with machine learning frameworks like Scikit-Learn, Tensorflow, or Pytorch
- Experience with high performance, large-scale ML systems
- Experience with language modeling with transformers
- Experience with reinforcement learning
Responsibilities
- AI Innovation & Responsible Generative AI Design AI solutions using Python, computer vision, and generative models like LLMs and diffusion models.
- Agentic AI System Design Build autonomous AI agents using frameworks (i.e. LangChain, LangGraph, AutoGen, CrewAI) to support reasoning and decision-making in healthcare.
- Embed AI into Humana’s systems and workflows.
- Partner with business teams to understand challenges, co-create solutions, and communicate AI capabilities clearly—especially around generative AI.
- Design for scalability, reliability, and compliance.
- Work with engineering and product teams to implement best practices for deploying and maintaining AI models in production.
- Manage the execution of data science strategies and initiatives, including the design, development and implementation.
Other
- Master's Degree and 5+ years of experience in research/ML engineering or an applied research scientist position preferably with a focus on developing production-ready AI solutions.
- 2+ years of experience leading development of AI/ML systems.
- Remote US
- Occasional travel to Humana's offices for training or meetings may be required.
