AI/ML Engineer - Generative AI for Enterprise Apps

Cardinal Health

United States

On-site

USD 95,000 - 122,000

Full time

6 days ago
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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
Flexibility with FSAs

Job summary

Cardinal Health seeks a product-oriented AI/ML Engineer to partner with product managers, software engineers, data engineers, and business stakeholders to design and deliver enterprise-scale Generative AI solutions. You will build production-grade ML systems, including LLMs, RAG, AI Agents, and intelligent automation workflows.

The role combines strong software engineering with AI expertise and cloud-native development, delivering secure, reliable, and measurable AI capabilities across

Qualifications

  • 4-8 years of experience in Software Engineering, ML Engineering, or AI Engineering.
  • Bachelor's degree in Computer Science, Engineering, Data Science, AI, or related field or equivalent experience.
  • Strong Python proficiency and production-grade app development experience.
  • Experience building REST APIs with FastAPI/Flask or similar.
  • Experience with GitHub, CI/CD, and containerization (Docker).
  • Experience with Kubernetes and cloud platforms (GCP/AWS/Azure).

Responsibilities

  • Design and deliver enterprise-scale Generative AI solutions.
  • Hands-on development of AI-powered applications and production ML systems.
  • Collaborate with product managers, software engineers, data engineers, and stakeholders.

Skills

Python
REST APIs
Agile & SDLC
Cloud platforms
Data-driven problem solving

Education

Bachelor's degree in Computer Science or related field

Tools

Docker
Kubernetes
GitHub Actions
CI/CD
FastAPI/Flask
Cloud services (GCP/AWS/Azure)

Job description

Cardinal Health seeks a product-oriented AI/ML Engineer to partner with product managers, software engineers, data engineers, and business stakeholders to design and deliver enterprise-scale Generative AI solutions. You will build production-grade ML systems, including LLMs, RAG, AI Agents, and intelligent automation workflows.

The role combines strong software engineering with AI expertise and cloud-native development, delivering secure, reliable, and measurable AI capabilities across

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