What Data Science contributes to Cardinal Health
The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling.
Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems.
Job Overview
We are seeking a product-oriented AI/ML Engineer who partners with product managers, software engineers, data engineers, and business stakeholders to design and deliver enterprise-scale Generative AI solutions. In this role, you will be hands-on in the development of AI-powered applications, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, intelligent automation workflows, and conversational experiences.
The ideal candidate combines strong software engineering fundamentals with expertise in modern AI technologies and cloud-native application development. You will be responsible for transforming business problems into scalable AI solutions, building production-grade ML systems, integrating AI capabilities into enterprise platforms, and ensuring solutions are secure, reliable, and measurable.
This role is ideal for an engineer who enjoys working across the full lifecycle of AI products, from experimentation and prototyping to deployment, monitoring, optimization, and business adoption.
Qualifications
- 4-8 years of experience in Software Engineering, Machine Learning Engineering, AI Engineering, or related fields preferred.
- Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or related discipline; equivalent experience considered.
- Strong proficiency in Python and experience developing production-grade applications.
- Experience building REST APIs using frameworks such as FastAPI, Flask, or similar technologies.
- Experience working within Agile and SDLC frameworks.
- Experience using GitHub and CI/CD platforms (GitHub Actions, GitLab, Azure DevOps, Jenkins, Harness, etc.).
- Experience containerizing applications using Docker.
- Experience deploying and managing workloads on Kubernetes platforms (GKE, AKS, EKS, OpenShift, etc.).
- Experience working with cloud platforms such as Google Cloud Platform (GCP), Azure, or AWS.
Requirements
- Experience designing and implementing Generative AI solutions using Large Language Models (OpenAI, Gemini, Claude, Llama, Mistral, or similar).
- Strong understanding of Retrieval-Augmented Generation (RAG) architecture and vector databases.
- Experience building AI Agents and multi-agent workflows using frameworks such as LangGraph, LangChain, CrewAI, Semantic Kernel, or equivalent.
- Experience integrating AI services through APIs and enterprise systems.
- Knowledge of prompt engineering, evaluation frameworks, and AI application optimization techniques.
- Familiarity with MLOps and LLMOps concepts, including model deployment, monitoring, observability, and governance.
- Experience implementing responsible AI, security, privacy, and compliance controls for enterprise AI solutions.
- Ability to develop scalable AI solutions using cloud-native architectures and event-driven patterns.
- Experience working with relational and NoSQL databases.
- Strong understanding of software design patterns, testing strategies, and production support practices.
- Proven ability to collaborate effectively with product teams to translate business requirements into AI-powered solutions.
- Excellent communication skills with the ability to explain technical concepts to both technical and non-technical audiences.
What is expected of you and others at this level
- Applies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects
- May contribute to the development of policies and procedures
- Works on complex projects of large scope
- Develops technical solutions to a wide range of difficult problems
- Solutions are innovative and consistent with organization objectives
- Completes work; independently receives general guidance on new projects
- Work reviewed for purpose of meeting objectives
- May act as a mentor to less experienced colleagues
Anticipated salary range: $94,900 - $122,400
Bonus eligible: No
Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
Medical, dental and vision coverage
Paid time off plan
Health savings account (HSA)
401k savings plan
Access to wages before pay day with myFlexPay
Flexible spending accounts (FSAs)
Short- and long-term disability coverage
Work-Life resources
Paid parental leave
Healthy lifestyle programs
Application window anticipated to close: 09/20/2026 *if interested in opportunity, please submit application as soon as possible.
The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate’s geographical location, relevant education, experience and skills and an evaluation of internal pay equity.
Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply.
Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law.
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Skills Required
- 4-8 years of experience in software engineering, machine learning engineering, AI engineering, or a related field
- Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related discipline; equivalent experience considered
- Strong proficiency in Python and experience developing production-grade applications
- Experience building REST APIs using FastAPI, Flask, or similar technologies
- Experience working within Agile and SDLC frameworks
- Experience using GitHub and CI/CD platforms
- Experience containerizing applications using Docker
- Experience deploying and managing workloads on Kubernetes platforms
- Experience working with cloud platforms such as GCP, Azure, or AWS
- Experience designing and implementing Generative AI solutions using Large Language Models
- Strong understanding of Retrieval-Augmented Generation architecture and vector databases
- Experience building AI agents and multi-agent workflows using LangGraph, LangChain, CrewAI, Semantic Kernel, or equivalent
- Experience integrating AI services through APIs and enterprise systems
- Knowledge of prompt engineering, evaluation frameworks, and AI application optimization techniques
- Familiarity with MLOps and LLMOps concepts, including model deployment, monitoring, observability, and governance
- Experience implementing responsible AI, security, privacy, and compliance controls
- Ability to develop scalable AI solutions using cloud-native architectures and event-driven patterns
- Experience working with relational and NoSQL databases
- Strong understanding of software design patterns, testing strategies, and production support practices
- Ability to collaborate with product teams to translate business requirements into AI-powered solutions
- Excellent communication skills with technical and non-technical audiences
Cardinal Health Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cardinal Health and has not been reviewed or approved by Cardinal Health.
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Leave & Time Off Breadth — Paid time off is frequently described as generous, including examples like multiple weeks of vacation, additional sick days, and in some roles even “unlimited” or untracked time off. Parental leave, paid holidays, and volunteer time further broaden the overall leave offering.
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Healthcare Strength — Medical, dental, and vision coverage is positioned as comprehensive, with added supports such as preventive care, telehealth/clinic access, mental health resources, and EAP counseling. Wellness programs and incentives (e.g., premium discounts tied to checkups or healthy lifestyle actions) add to the perceived breadth of healthcare-related support.
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Retirement Support — A 401(k) with company match, along with programs like stock purchase/equity participation and charitable matching, contribute to a stronger total rewards picture beyond base pay. Additional financial supports such as disability coverage and early wage access also enhance the overall package.
Cardinal Health Insights
What We Do
Cardinal Health is a distributor of pharmaceuticals, a global manufacturer and distributor of medical and laboratory products, and a provider of performance and data solutions for healthcare facilities. With 50 years in business, operations in more than 35 countries and approximately 44,000 employees globally, Cardinal Health is essential to care. We are navigating the complexities of healthcare and providing scaled solutions to help our customers thrive in a changing world. We strive to be a trusted healthcare partner by driving growth in evolving areas of healthcare, while building upon our distribution, products, and solutions to meet customer needs.
