GenAI Engineer for Healthcare AI & Agentic Workflows

Cardinal Health, Inc.; City of Albany (NY); Remote; USD 96,000 - 151,000; Full time

Benefits offered by this job

Medical, dental & vision

Paid time off

HSA

401k

myFlexPay

FSAs

Disability

Work-Life resources

Parental leave

Wellness programs

Job summary

Cardinal Health’s Sonexus Health Pharmacy Services is seeking an experienced AI Engineer to design, deploy, and scale GenAI-powered solutions across healthcare workflows.

You will work with AI platform teams, product, data, and clinical stakeholders to deliver compliant, production-ready AI apps, with emphasis on agentic workflows, security, and enterprise integration in cloud environments.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field preferred.
• 5+ years of professional software engineering experience with Python and one of Java/Net/C#/etc.
• 2+ years building GenAI/LLM-based applications in real-world or enterprise environments.
• Experience designing agentic or multi-step AI workflows using orchestration frameworks.

Responsibilities

• Design, prototype, and deploy Generative AI applications using techniques like Retrieval-Augmented Generation (RAG) and prompt engineering.
• Build and maintain Python-based APIs and software components for scalable AI services.
• Develop multi-step agentic workflows for reasoning, task execution, and orchestration using LangChain, LangGraph, and LlamaIndex.
• Collaborate with cross-functional teams to ensure AI solutions meet security, privacy, and compliance requirements.

Skills

Python

GenAI

LLMs

Prompt engineering

Education

Bachelors or Masters in CS/AI

Tools

Azure

GCP

LangGraph

LlamaIndex

Job description

Cardinal Health’s Sonexus Health Pharmacy Services is seeking an experienced AI Engineer to design, deploy, and scale GenAI-powered solutions across healthcare workflows.

You will work with AI platform teams, product, data, and clinical stakeholders to deliver compliant, production-ready AI apps, with emphasis on agentic workflows, security, and enterprise integration in cloud environments.