GenAI Engineer for Healthcare Platforms

Cardinal Health; Topeka (KS); Remote; USD 96,000 - 151,000; Full time

Benefits offered by this job

Medical, dental and vision coverage

Paid time off plan

Health savings account (HSA)

401k savings plan

MyFlexPay access

FSAs

Disability coverage

Work-Life resources

Paid parental leave

Healthy lifestyle programs

Job summary

Cardinal Health’s Sonexus Health Pharmacy Services seeks an experienced AI Engineer to design, deploy, and scale GenAI-powered applications across healthcare workflows. You’ll work with product, engineering, data, and business teams to ensure compliant, reliable AI solutions for patient services and enterprise operations.

The role emphasizes secure, compliant AI design with production-grade pipelines, agentic orchestration, and governance across cloud environments (Azure/GCP).

Qualifications

• BS/MS in Computer Science, Artificial Intelligence or related field.
• 5+ years software engineering experience with Python.
• 2+ years GenAI/LLM-based solutions in real environments.
• Experience with cloud deployments (Azure/GCP) and secure healthcare workflows.

Responsibilities

• Design, prototype, and deploy GenAI applications with RAG and prompt engineering.
• Build Python-based APIs and scalable production components.
• Develop multi-step agentic workflows using LangChain, LangGraph, and LlamaIndex.
• Integrate AI capabilities into healthcare workflows with HIPAA compliance.
• Deploy and monitor GenAI pipelines using cloud-native tools and MLOps best practices.
• Collaborate across teams to ensure security, privacy, and governance.

Skills

Python

GenAI/LLM

Agentic AI workflows

LangChain

LangGraph

LLM APIs

Education

Bachelor's or Master's in CS/AI

Tools

Azure

GCP

LangChain

LlamaIndex

Job description

Cardinal Health’s Sonexus Health Pharmacy Services seeks an experienced AI Engineer to design, deploy, and scale GenAI-powered applications across healthcare workflows. You’ll work with product, engineering, data, and business teams to ensure compliant, reliable AI solutions for patient services and enterprise operations.

The role emphasizes secure, compliant AI design with production-grade pipelines, agentic orchestration, and governance across cloud environments (Azure/GCP).