Lead AI Scientist: Autonomous Agents & Planning (Remote)

Humana Inc; Cheyenne (WY); Remote; USD 142,000 - 196,000; Full time

Job summary

Humana Inc. is seeking an expert in agent design, planning, and control to help build autonomous AI agents for complex real-world tasks across healthcare domains.

This remote US role focuses on robust, interpretable systems, safety, and long-horizon planning, with collaboration across product and research teams. You will prototype goal-setting, dynamic planning, and API- or database-driven agents, and contribute to evaluation frameworks that measure alignment with human intent and reliability in

Qualifications

• 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

Responsibilities

• Architect goal setting and goal decomposition mechanisms for autonomous agents operating in uncertain or open-ended environments
• Design and implement dynamic planning systems (e.g., hierarchical planning, curriculum learning, scratchpad/self-refinement loops)
• Collaborate on memory, tool-use, and feedback-loop designs enabling multi-step, self-directed agent behavior
• Develop evaluation frameworks for alignment with human intent, consistency, progress against long-horizon objectives
• Prototype agents that interface with APIs, MCP servers, search engines, databases, or real-world actuators to pursue goals safely and efficiency
• Explore mechanisms to detect and mitigate goal misalignment, looping behavior, or undesirable emergent strategies
• Work across teams to integrate goal alignment with safety, alignment, and operational reliability mechanisms

Job description

Humana Inc. is seeking an expert in agent design, planning, and control to help build autonomous AI agents for complex real-world tasks across healthcare domains.

This remote US role focuses on robust, interpretable systems, safety, and long-horizon planning, with collaboration across product and research teams. You will prototype goal-setting, dynamic planning, and API- or database-driven agents, and contribute to evaluation frameworks that measure alignment with human intent and reliability in