> Markdown version of [/jobs/ext/2879825-ai-ml-engineer](https://www.wearedevelopers.com/jobs/ext/2879825-ai-ml-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML Engineer - **Company:** Cardinal Health - **Location:** Raleigh, NC, United States - **Experience:** Experienced - **Salary:** $94,900.0 - $122,400.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Software Applications, Microsoft Azure, Big Data, Cloud Engineering, OpenShift, Software Engineering, Systems Integration, Flask (Web Framework), Large Language Models, Generative AI, Gitlab, Data Analytics, Data Management, Machine Learning Operations, Jenkins - **Published:** September 13, 2026 - **Apply:** https://dejobs.org/x/x/93A0901C16824AD19036D363560F46AF/job/ ## About the Role * 4-8yearsofexperienceinSoftwareEngineering,MachineLearningEngineering,AIEngineering,orrelatedfieldspreferred. * Bachelor'sdegreeinComputerScience,Engineering,DataScience,ArtificialIntelligence,orrelateddiscipline;equivalentexperienceconsidered. * StrongproficiencyinPythonandexperiencedevelopingproduction-gradeapplications. * ExperiencebuildingRESTAPIsusingframeworkssuchasFastAPI,Flask,orsimilartechnologies., Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply. ## Description 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., 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., * 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 ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [The Road to MLOps: How Verivox Transitioned to AWS](https://www.wearedevelopers.com/videos/1050-the-road-to-mlops-how-verivox-transitioned-to-aws) - [WeAreDevelopers LIVE - Modern DevOps for IoT Devices and More](https://www.wearedevelopers.com/videos/1805-wearedevelopers-live-modern-devops-for-iot-devices-and-more) - [Our GitOps approach for deploying an Identity Provider and an API Gateway in a SaaS company](https://www.wearedevelopers.com/videos/776-our-gitops-approach-for-deploying-an-identity-provider-and-an-api-gateway-in-a-saas-company) - [Enabling automated 1-click customer deployments with built-in quality and security](https://www.wearedevelopers.com/videos/83-enabling-automated-1-click-customer-deployments-with-built-in-quality-and-security) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)