AI/ML Engineer for Enterprise GenAI Solutions

Cardinal Health; Phoenix (AZ); Remote; USD 96,000 - 124,000; Full time

Benefits offered by this job

Medical, dental and vision coverage

Paid time off plan

Health savings account (HSA)

401k savings plan

Access to wages before pay day with my

Flexible spending accounts (FSAs)

Short- and long-term disability

Work-Life resources

Paid parental leave

Healthy lifestyle programs

Job summary

Cardinal Health seeks an experienced AI/ML Engineer to partner with product managers, software engineers, data engineers and business stakeholders. You will design and deliver enterprise-scale Generative AI solutions, including LLMs, RAG, AI agents, and intelligent automation workflows.

Ideal candidates combine strong software engineering with modern AI tech and cloud-native development, transforming business problems into scalable AI systems while ensuring security, reliability and measurable

Qualifications

• 4-8 years of Software/ML/AI engineering experience.
• Bachelor's degree or equivalent in a technical field.
• Strong Python production-grade development experience.
• Experience building REST APIs with FastAPI or Flask.
• Hands-on with CI/CD and containerization (Docker, Kubernetes).
• Familiarity with cloud platforms (GCP/Azure/AWS).
• Excellent communication and collaboration with product teams.

Skills

Experience in Software/Machine/Learned

Python proficiency

Agile/SDLC

Cloud platforms

Strong communication

Education

Bachelor's degree in CS/Engineering/Data Science/AI

Tools

FastAPI

Flask

REST APIs

GitHub Actions

GitLab

Azure DevOps

Jenkins

Harness

Docker

Kubernetes

GCP

Azure

AWS

LangGraph/LangChain

Semantic Kernel

Job description

Cardinal Health seeks an experienced AI/ML Engineer to partner with product managers, software engineers, data engineers and business stakeholders. You will design and deliver enterprise-scale Generative AI solutions, including LLMs, RAG, AI agents, and intelligent automation workflows.

Ideal candidates combine strong software engineering with modern AI tech and cloud-native development, transforming business problems into scalable AI systems while ensuring security, reliability and measurable