Generative AI Engineer for Enterprise Platforms
Cardinal Health
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Benefits offered by this job
Job summary
Cardinal Health is seeking an AI/ML Engineer to partner with product, software, data and business teams to design enterprise-scale Generative AI solutions. You will build production-grade ML systems, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) workflows, AI Agents and cloud-native apps that deliver measurable business value.
In this role you’ll span the full lifecycle from experimentation to deployment, monitoring and governance, ensuring secure, scalable and
Qualifications
- 4-8 years in Software/ML/AI engineering or related fields.
- Bachelors in CS/Engineering/Data Science or equivalent.
- Strong Python production-grade app experience.
- Experience building REST APIs with FastAPI/Flask or similar.
- Experience with Agile/SDLC workflows.
- Experience with GitHub Actions, GitLab, Azure DevOps, Jenkins.
- Containerization with Docker and orchestration with Kubernetes.
- Cloud experience (GCP/AWS/Azure).
Responsibilities
- Design and deliver enterprise-scale Generative AI solutions.
- Build production-grade ML systems and AI capabilities integrated into enterprise platforms.
- Develop AI agents, RAG workflows and intelligent automation.
- Collaborate with product, software, data engineering and stakeholders.
- Ensure security, reliability, monitoring and governance for AI applications.
Skills
Education
Tools
Job description
Cardinal Health is seeking an AI/ML Engineer to partner with product, software, data and business teams to design enterprise-scale Generative AI solutions. You will build production-grade ML systems, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) workflows, AI Agents and cloud-native apps that deliver measurable business value.
In this role you’ll span the full lifecycle from experimentation to deployment, monitoring and governance, ensuring secure, scalable and
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