AI/ML Engineer

Cardinal Health; Carson City (NV); On-site; USD 95,000 - 122,000; Full time

Benefits offered by this job

Medical, dental and vision coverage

Paid time off

Health savings account (HSA)

401k savings plan

MyFlexPay access to wages

FSAs

Disability coverage

Work-Life resources

Paid parental leave

Healthy lifestyle programs

Job summary

Cardinal Health is seeking an AI/ML Engineer to design and deliver enterprise-scale Generative AI solutions. You will partner with product managers, software engineers, data engineers, and stakeholders to translate business problems into scalable AI applications.

The role involves building production-grade ML systems, deploying AI capabilities across enterprise platforms, and ensuring secure, reliable, and measurable outcomes throughout the full AI product lifecycle.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Data Science, AI or related field; 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.

Responsibilities

• Design and deliver enterprise-scale Generative AI solutions.
• Hands-on development of AI-powered applications, including LLMs, RAG, AI Agents and automation workflows.
• Build production-grade ML systems and integrate AI capabilities into enterprise platforms.

Skills

Python

REST APIs

Docker

Kubernetes

GCP

AWS

Azure

CI/CD

GitHub

LangChain

RAG

OpenAI

LangGraph

Prompt engineering

Production-grade software

Education

Bachelor's degree in Computer Science or related

Tools

FastAPI

Flask

GitHub Actions

Azure DevOps

Jenkins

Kubernetes

GKE

AKS

EKS

Job description

US-Nationwide-FIELD

Full time

20186338

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

• 4-8yearsofexperienceinSoftwareEngineering,MachineLearningEngineering,AIEngineering,orrelatedfieldspreferred.
• Bachelor'sdegreeinComputerScience,Engineering,DataScience,ArtificialIntelligence,orrelateddiscipline;equivalentexperienceconsidered.
• StrongproficiencyinPythonandexperiencedevelopingproduction-gradeapplications.
• ExperiencebuildingRESTAPIsusingframeworkssuchasFastAPI,Flask,orsimilartechnologies.
• ExperienceworkingwithinAgileandSDLCframeworks.
• ExperienceusingGitHubandCI/CDplatforms(GitHubActions,GitLab,AzureDevOps,Jenkins,Harness,etc.).
• ExperiencecontainerizingapplicationsusingDocker.
• ExperiencedeployingandmanagingworkloadsonKubernetesplatforms(GKE,AKS,EKS,OpenShift,etc.).
• ExperienceworkingwithcloudplatformssuchasGoogleCloudPlatform(GCP),Azure,orAWS.

Requirements

• ExperiencedesigningandimplementingGenerativeAIsolutionsusingLargeLanguageModels(OpenAI,Gemini,Claude,Llama,Mistral,orsimilar).
• StrongunderstandingofRetrieval-AugmentedGeneration(RAG)architectureandvectordatabases.
• ExperiencebuildingAIAgentsandmulti-agentworkflowsusingframeworkssuchasLangGraph,LangChain,CrewAI,SemanticKernel,orequivalent.
• ExperienceintegratingAIservicesthroughAPIsandenterprisesystems.
• Knowledgeofpromptengineering,evaluationframeworks,andAIapplicationoptimizationtechniques.
• FamiliaritywithMLOpsandLLMOpsconcepts,includingmodeldeployment,monitoring,observability,andgovernance.
• ExperienceimplementingresponsibleAI,security,privacy,andcompliancecontrolsforenterpriseAIsolutions.
• AbilitytodevelopscalableAIsolutionsusingcloud-nativearchitecturesandevent-drivenpatterns.
• ExperienceworkingwithrelationalandNoSQLdatabases.
• Strongunderstandingofsoftwaredesignpatterns,testingstrategies,andproductionsupportpractices.
• ProvenabilitytocollaborateeffectivelywithproductteamstotranslatebusinessrequirementsintoAI-poweredsolutions.
• Excellentcommunicationskillswiththeabilitytoexplaintechnicalconceptstobothtechnicalandnon-technicalaudiences.

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

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.

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.

Headquartered in Dublin, Ohio, Cardinal Health, Inc. (NYSE: CAH) 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.

We are a crucial link between the clinical and operational sides of healthcare, delivering end‑to‑end solutions and data‑driving insights that advance healthcare and improve lives every day. With deep partnerships, diverse perspectives and innovative digital solutions, we build connections across the continuum of care.

With more than 50 years of experience, we seize the opportunity to address healthcare's most complicated challenges — now, and in the future.

View Cardinal Health on YouTube (http://youtube.com/user/CardinalHealth)