Enterprise AI/ML Engineer for GenAI & AI Agents
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 managers, software engineers, data engineers, and stakeholders to design and deliver enterprise-scale Generative AI solutions. You will be hands‑on building AI-powered applications, including LLMs, RAG, AI Agents, and automation workflows.
The role combines strong software engineering with AI technologies, focusing on scalable, secure, and measurable cloud-native AI systems across the full lifecycle from experimentation to
Qualifications
- 4–8 years of software, ML, or AI engineering experience.
- Bachelor's degree or equivalent in a related field.
- Strong Python skills and production‑grade app development.
- Experience building REST APIs with FastAPI/Flask or similar.
- Experience with GitHub, CI/CD, and containerization (Docker).
- Kubernetes deployment on cloud platforms (GKE/AKS/EKS).
- Experience with cloud platforms (GCP, Azure, AWS).
- Familiarity with Generative AI, RAG, LLMs and AI security/compliance.
Responsibilities
- Design and deliver enterprise-scale Generative AI solutions.
- Hands-on development of AI-powered applications including LLMs and AI Agents.
- Transform business problems into scalable AI solutions on cloud-native platforms.
- Build production‑grade ML systems with monitoring and governance.
- Collaborate with product managers and engineers across the lifecycle.
Skills
Education
Tools
Job description
Cardinal Health is seeking an AI/ML Engineer to partner with product managers, software engineers, data engineers, and stakeholders to design and deliver enterprise-scale Generative AI solutions. You will be hands‑on building AI-powered applications, including LLMs, RAG, AI Agents, and automation workflows.
The role combines strong software engineering with AI technologies, focusing on scalable, secure, and measurable cloud-native AI systems across the full lifecycle from experimentation to
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