Role overview
Humana Inc. (NYSE: HUM) is committed to putting health first – for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large.
What you'll work on
- AI Innovation & Responsible Generative AI
Design AI solutions using Python, computer vision, and generative models like LLMs and diffusion models. Ensure responsible development aligned with Humana’s ethical standards, focusing on transparency, safety, and real-world impact. - Agentic AI System Design
Build autonomous AI agents using frameworks (i.e. LangChain, LangGraph, AutoGen, CrewAI) to support reasoning and decision-making in healthcare. - Enterprise Integration & Business Collaboration
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. - MLOps & DevOps Collaboration
Work with engineering and product teams to implement best practices for deploying and maintaining AI models in production. - Develop data science initiatives, leveraging insights to influence strategic decisions at Enterprise AI.
- Foster collaboration among data scientists, software engineers, and key stakeholders to deliver impactful AI solutions that drive business value.
- Develop and maintain complex machine learning models and algorithms.
- Build machine learning models and integrate them into our production system.
- Create reports, projections, models, and presentations to support business.
What we're looking for
- Ph.D. in Computer, Science, Data Science, Machine Learning, or a related field
*Additional Information
Work Style:** This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home.
Tags & focus areas
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