Lead Decision Intelligence (AI) - NBA

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The Lead Decision Intelligence Engineer (AI) owns the application of Decision Intelligence and agentic AI across the NBA platform. This role analyzes and formalizes the business decisions that drive member engagement, translating stakeholder objectives, constraints, policies, and available data into structured decision models that can be evaluated, optimized, and automated. Working closely with business, product, and engineering teams, you identify where decisions should remain rule-based, where predictive models should be applied, and where agentic systems can create measurable value.

You then design and build production-grade decision intelligence capabilities that help teams create, understand, optimize, and govern member actions. Using LangGraph, LangChain, Azure OpenAI, Azure AI Foundry, Databricks, and Humana's AI Gateway, you build agentic workflows that reason through decision processes, generate recommendations, explain tradeoffs, assist with action authoring, and continuously improve decision outcomes. This is a hands-on technical leadership role that combines decision science, AI engineering, and software architecture while leading a small team of engineers.Key Responsibilities

• Decision intelligence modeling — Analyze and formally model business decision processes, including objectives, constraints, policies, decision points, outcomes, dependencies, and feedback loops that govern member engagement.
• Decision decomposition — Break complex business processes into decision graphs, decision services, decision hierarchies, and optimization opportunities that can be measured, automated, and improved.
• Optimization strategy — Determine where rules, predictive models, reinforcement learning, optimization techniques, or agentic systems create the highest business value and operational impact.
• Agentic workflow delivery — Design and implement