Note: The job is a remote job and is open to candidates in USA. Cardinal Health is seeking a product-oriented AI/ML Engineer to design and deliver enterprise-scale Generative AI solutions. The role develops AI-powered applications involving Large Language Models, Retrieval-Augmented Generation, AI Agents, intelligent automation workflows, and conversational experiences, while managing the full lifecycle from experimentation and prototyping through deployment, monitoring, optimization, and business adoption.
Responsibilities
- Partners with product managers, software engineers, data engineers, and business stakeholders to design and deliver enterprise-scale Generative AI solutions
- 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
- 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
- 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
Skills
- • 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 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
- • 4-8 years of experience in Software Engineering, Machine Learning Engineering, AI Engineering, or related fields preferred
Benefits
- 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
Company Overview
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