AI/ML Engineer — Generative AI for Enterprise-Scale Solutions

Cardinal Health; Dover; On-site; GBP 72,000 - 93,000; Full time

Benefits offered by this job

Medical, dental and vision coverage

Paid time off

Health savings account (HSA)

401k savings plan

Access to wages before pay day with my

Flexible spending accounts (FSAs)

Disability coverage

Work-Life resources

Paid parental leave

Healthy lifestyle programs

Job summary

Cardinal Health seeks an AI/ML Engineer to partner with product managers, software engineers, data engineers, and business stakeholders. You will design and deliver enterprise-scale Generative AI solutions, including LLMs, RAG, AI Agents, and intelligent automation workflows.

You will combine strong software engineering with modern AI technologies, building production-grade ML systems, ensuring secure, reliable, and measurable outcomes across cloud-native architectures.

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.
• 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 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.

Responsibilities

• Design and deliver enterprise-scale Generative AI solutions in collaboration with product managers and engineers.
• Build production-grade ML systems and integrate AI capabilities into enterprise platforms.
• Ensure security, reliability, and measurable outcomes of AI solutions.
• Engage through full AI product lifecycle from prototyping to deployment, monitoring and adoption.
• Collaborate with product teams to convert business requirements into AI-powered applications.

Skills

Python

REST APIs

FastAPI

Flask

Agile SDLC

GitHub CI/CD

Docker

Kubernetes

Cloud platforms

Generative AI

LLMs

RAG

LangChain

AI Agents

Prompt engineering

MLOps

Security & Compliance

Relational & NoSQL DBs

Software design patterns

Production-grade apps

Education

Bachelor's degree in CS/Engineering/Data Science/AI

Tools

GitHub Actions

GitLab

Azure DevOps

Jenkins

Harness

Job description

Cardinal Health seeks an AI/ML Engineer to partner with product managers, software engineers, data engineers, and business stakeholders. You will design and deliver enterprise-scale Generative AI solutions, including LLMs, RAG, AI Agents, and intelligent automation workflows.

You will combine strong software engineering with modern AI technologies, building production-grade ML systems, ensuring secure, reliable, and measurable outcomes across cloud-native architectures.