Pay
Lower than most similar jobs
$96.3K–$124K against $166K–$240K, the middle half of what similar US postings state.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
AI/ML Engineer
US-Nationwide-FIELD
Live, first seen by us 27 days ago- Pay
$96,300–123,840/yearAnnual period assumed — pay source
May act as a mentor to less experienced colleagues Anticipated salary range: $96,300 - $123,840 Bonus eligible: No
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDesign and build LLM, RAG, and AI agent applications for enterprise use
Turn business problems into scalable, production-grade AI solutions
Integrate AI capabilities into enterprise platforms and APIs
Deploy, monitor, and optimize AI products through to business adoption
From the employer’s posting
hands-on in the development of AI-powered applications, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents
transforming business problems into scalable AI solutions, building production-grade ML systems
integrating AI capabilities into enterprise platforms
from experimentation and prototyping to deployment, monitoring, optimization, and business adoption
What you’ll bring
All qualificationsCore experience
- Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or related discipline; equivalent experience considered.
- Experience designing and implementing Generative AI solutions using Large Language Models (OpenAI, Gemini, Claude, Llama, Mistral, or similar).
- Strong proficiency in Python and experience developing production-grade applications.
- Strong understanding of Retrieval-Augmented Generation (RAG) architecture and vector databases.
- Experience building REST APIs using frameworks such as FastAPI, Flask, or similar technologies.
- Experience building AI Agents and multi-agent workflows using frameworks such as LangGraph, LangChain, CrewAI, Semantic Kernel, or equivalent.
Preferred experience
- 4-8 years of experience in Software Engineering, Machine Learning Engineering, AI Engineering, or related fields preferred.
Qualification wording
Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or related discipline; equivalent experience considered.
Experience designing and implementing Generative AI solutions using Large Language Models (OpenAI, Gemini, Claude, Llama, Mistral, or similar).
Strong proficiency in Python and experience developing production-grade applications.
Strong understanding of Retrieval-Augmented Generation (RAG) architecture and vector databases.
Experience building REST APIs using frameworks such as FastAPI, Flask, or similar technologies.
Experience building AI Agents and multi-agent workflows using frameworks such as LangGraph, LangChain, CrewAI, Semantic Kernel, or equivalent.
4-8 years of experience in Software Engineering, Machine Learning Engineering, AI Engineering, or related fields preferred.
Education & alternatives
- 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.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 7, 202627 days ago
- Recorded sightings
- 78
- Last seen by us
- Nov 4, 2026
- Reposted
- once since Sep 12, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
How this job compares
Time since we first saw it
Day 27
Similar jobs usually come down between day 6 and day 69.
From 4,284 similar postings that came down. Coming down is not always a hire.
Cardinal is hiring
18 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down quickly
- 17% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- AWS
- Azure
- Docker
- GCP
- Kubernetes
- NoSQL
- FastAPI
- Flask
Where the posting names them
- 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 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 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 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 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.
- 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.
- 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.
Your next step
Complete your application on cardinalhealth.wd1.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Workday
- You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
- “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
Has Cardinal posted this job before?
Yes. We’ve followed one other AI/ML Engineer job there since September 2026. It came down after 24 days.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
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: $96,300 - $123,840
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.
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 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.
To read and review this privacy notice click here
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
May act as a mentor to less experienced colleagues Anticipated salary range: $96,300 - $123,840 Bonus eligible: No
- Location & working pattern
US-Nationwide-FIELD
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.