Lead AI Decision Intelligence Engineer (Remote)

Humana Inc

Providence (RI)

Hybrid

USD 129,000 - 178,000

Full time

2 days ago

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Job summary

Humana Inc. seeks a Lead Decision Intelligence Engineer to own the design and delivery of agentic AI across the NBA platform.

You will model business decisions, build production-grade decision intelligence capabilities, and lead a small engineering team using LangGraph, LangChain, and Azure AI services. This role blends decision science, AI engineering, and software architecture to drive measurable member outcomes.

Qualifications

Bachelor's degree in computer science or related field.
6+ years of software engineering, machine learning engineering, AI engineering, or decision intelligence experience, including 1–2 years in a technical leadership capacity.
Strong Python engineering experience building and operating production AI systems.
Hands-on experience building agentic applications using LangGraph, LangChain, AutoGen, CrewAI, or similar orchestration frameworks.
Experience integrating Azure OpenAI, Azure AI Foundry, Vertex AI, Anthropic, OpenAI, or comparable enterprise AI platforms.
Strong understanding of Decision Intelligence concepts, including decision modeling, optimization, decision automation, objectives, constraints, and outcome measurement.
Experience implementing LLM application patterns including tool calling, structured outputs, retrieval‑augmented generation (RAG), memory management, and workflow orchestration.
Experience building evaluation frameworks for AI systems, including automated evaluation, human review, performance measurement, and experimentation.
Ability to map business processes into formal decision frameworks and communicate those models to both technical and non‑technical stakeholders.
Demonstrated ability to lead a small engineering team while remaining a hands‑on contributor.
Strong communication skills with the ability to explain complex AI and decision architectures to senior leadership.

Responsibilities

Lead and mentor AI engineers, establish engineering standards, conduct design reviews, and drive execution across the Decision Intelligence workstream.
Collaborate with product, decision science, data science, and engineering teams to convert complex decision processes into production AI capabilities.
Architect, implement, and operate microservices that deliver decision intelligence capabilities and agentic workflows.
Design resilient database schemas and retrieval systems to support decision context and governance.
Integrate rule engines and policy controls with AI workflows to ensure safety and compliance.