The Enterprise AI organization at Humana is seeking to develop robust and reusable AI modules and pipelines, ensuring adherence to best practices in accountable AI for effective risk management and measurement. The goal is to create safe AI solutions that will revolutionize and improve healthcare experience and outcomes for 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. 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.
Other
- Master's Degree and 3+ years of experience in research/ML engineering or an applied research scientist position preferably with a focus on developing production-ready AI solutions.
- Remote US
- Occasional travel to Humana's offices for training or meetings may be required.
