Lead AI Decision Intelligence & Agentic Workflows

Humana Inc; Columbia (SC); Hybrid; USD 129,000 - 178,000; Full time

Job summary

Humana Inc. seeks a Lead Decision Intelligence Engineer to own decision intelligence capabilities across the NBA platform.

You will model business decisions, design agentic workflows, and lead a small team of engineers to translate objectives into measurable actions. You will work with LangGraph, LangChain, Azure OpenAI, and Databricks, shaping governance, retrieval, and evaluation frameworks while collaborating with product, decision science, and data teams.

Qualifications

• Bachelor's degree in computer science or related field.
• 6+ years in software or AI engineering with decision intelligence.
• 1–2 years in technical leadership role.
• Strong Python engineering experience building production AI systems.
• Experience integrating enterprise AI platforms (Azure OpenAI, OpenAI, Vertex AI).

Responsibilities

• Decision intelligence modeling and formal decision processes.
• Design and implement production agent workflows and governance.
• Lead and mentor AI engineers, set engineering standards.
• Collaborate with product, decision science, and data teams.
• Build evaluation frameworks for AI systems and experiments.
• Own integration with enterprise AI platforms and tool calling.

Skills

Python

LangGraph

LangChain

AI leadership

Decision intelligence

LLM integration

Azure OpenAI

Azure AI Foundry

OpenAI

Vertex AI

Education

Bachelor's degree in computer science or related field

Tools

Databricks

MLflow

LangGraph

LangChain

Azure OpenAI

Azure AI Foundry

OpenAI

Vertex AI

Job description

Humana Inc. seeks a Lead Decision Intelligence Engineer to own decision intelligence capabilities across the NBA platform.

You will model business decisions, design agentic workflows, and lead a small team of engineers to translate objectives into measurable actions. You will work with LangGraph, LangChain, Azure OpenAI, and Databricks, shaping governance, retrieval, and evaluation frameworks while collaborating with product, decision science, and data teams.