GenAI Engineer — Agentic AI for Healthcare Ops

Cardinal Health; Honolulu (HI); Remote; USD 96,000 - 151,000; Full time

Benefits offered by this job

Medical, dental and vision coverage

Paid time off plan

HSA

401k savings plan

myFlexPay access to wages before pay

FSAs

Disability coverage

Work-Life resources

Paid parental leave

Healthy lifestyle programs

Job summary

Cardinal Health’s Sonexus Health Pharmacy Services is seeking an AI Engineer to design, deploy, and scale GenAI-powered applications for healthcare operations and patient services. You will work across product, engineering, data, and business teams to ensure compliant, enterprise-grade AI solutions.

You will build Python APIs, implement agentic workflows, and optimize AI pipelines using LangChain, LangGraph, and LlamaIndex in Azure or GCP environments.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, ML or a related technical field preferred.
• 5+ years of professional software engineering experience with Python.
• 2+ years building GenAI/LLM–based applications in real-world environments.
• Experience designing multi-step AI workflows and orchestration.
• Experience deploying AI solutions in Azure and/or GCP.

Responsibilities

• Design, prototype, and deploy GenAI applications using RAG, prompt engineering, fine‑tuning, and vector search.
• Build and maintain Python APIs and components for AI services.
• Develop agentic workflows for reasoning and task execution using LangGraph, LangGraph, and LlamaIndex.
• Integrate AI capabilities into healthcare workflows and internal knowledge systems.
• Deploy, monitor, and optimize GenAI models with cloud-native tooling and MLOps best practices.

Skills

Python

GenAI/LLM

Agentic AI workflows

LangGraph

LlamaIndex

Cloud deployment

Security & compliance

Education

Bachelor’s or Master’s in CS/AI/ML

Tools

LangGraph

LlamaIndex

Vector databases

Job description

Cardinal Health’s Sonexus Health Pharmacy Services is seeking an AI Engineer to design, deploy, and scale GenAI-powered applications for healthcare operations and patient services. You will work across product, engineering, data, and business teams to ensure compliant, enterprise-grade AI solutions.

You will build Python APIs, implement agentic workflows, and optimize AI pipelines using LangChain, LangGraph, and LlamaIndex in Azure or GCP environments.