The Enterprise AI organization at Humana is seeking to drive AI innovation across its business segments by developing robust and reusable AI modules and pipelines, ensuring adherence to best practices in accountable AI for effective risk management and measurement. The Lead Data Scientist will specifically drive the safety, alignment, and ethical development of Agentic AI systems.
Requirements
- Proficiency in SQL, Python, and data analysis/data mining tools.
- Experience with machine learning frameworks like PyTorch, JAX, ReAct, LangChain, LangGraph, or AutoGen
- Experience with high performance, large-scale ML systems
- Experience with deploying or auditing LLM-based agents or multi-agent AI systems
- Experience with large-scale ETL
- Deep expertise in AI alignment, multi-agent systems, or reinforcement learning
- Demonstrated ability to lead research-to-production initiatives or technical governance frameworks
Responsibilities
- Design and implement safety architectures for Agentic AI systems, including guardrails, reward modeling, and self-monitoring capabilities
- Lead and collaborate on alignment techniques such as inverse reinforcement learning, preference learning, interpretability tools, and human-in-the-loop evaluation
- Develop continuous monitoring strategies for agent behavior in both simulated and real-world environments
- Partner with product, legal, Responsible AI, governance, and deployment teams to ensure responsible scaling and deployment
- Contribute to and publish novel research on alignment of LLM-based agents, multi-agent cooperation/conflict, or value learning
- Proactively identify and mitigate failure modes, e.g., goal misgeneralization, deceptive behavior, unintended instrumental actions
- Set safety milestones for autonomous capabilities as part of deployment readiness reviews
Other
- Master's Degree and 4+ 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
- Strong publication or contribution record in AI safety, interoperability, or algorithm ethics
- Remote US
- Occasional travel to Humana's offices for training or meetings may be required.
