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McKesson

Supplies medicines and technology to healthcare teams

Technical AI Enablement Senior Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeCork, IrelandHybrid

About the Job

Requirements

  • Hands-on experience designing and implementing AI and automation solutions.
  • Ability to ensure scalability, reliability, and security in AI systems through architectural skills.
  • Ability to translate business requirements and ideas into technical solutions.
  • Experience collaborating with infrastructure, cloud, and data teams to deliver integrated outcomes.
  • Experience developing and deploying AI solutions in production environments.
  • Experience implementing MLOps pipelines and containerized deployments.
  • Experience with AI tools such as LangChain and OpenAI.
  • Experience with automation technologies such as UiPath.
  • Knowledge of Python and SQL, and ability to work with APIs.
  • Hands-on experience with Azure, AWS, or Google Cloud.
  • Familiarity with MLOps, containerization with Docker, and CI/CD pipelines for deployment.
  • Bachelor’s degree or equivalent experience in Computer Science, Engineering, Information Technology, or a related field.
  • At least 5 years of relevant professional experience, including at least 2 years in AI/automation solution deployment or technical enablement roles.
  • Experience with cloud platforms such as Azure, AWS, or Google Cloud and modern data architectures.
  • Hands-on experience with CI/CD, container orchestration using Kubernetes, and scalable architectures.
  • Certifications in AI, cloud architecture, or automation technologies.
  • Experience working in large, complex, multinational organizations.

Responsibilities

  • Partner with infrastructure, cloud, and data teams to design and deliver scalable AI solutions.
  • Ensure architectural soundness, security, and compliance in AI deployments.
  • Translate business ideas and requirements into technical specifications and actionable plans.
  • Implement best practices for code quality, testing, and deployment.
  • Execute and support the transition of AI pilots and prototypes into fully operational, integrated solutions.
  • Identify and address technical challenges to ensure successful implementation and adoption.
  • Establish best practices for AI solution deployment and lifecycle management.
  • Act as a technical bridge between business, data, and technology teams.
  • Facilitate knowledge sharing and technical enablement across the organization.
  • Support the development of a robust AI capability within McKesson Technology.

About the Company

McKesson

Supplies medicines and technology to healthcare teams

McKesson distributes medicines and medical supplies to pharmacies, hospitals and other care providers, alongside services that connect drug manufacturers with patients. Its specialty businesses support community cancer care and clinical research, extending its work beyond moving products through warehouses. The company buys drugs and supplies from manufacturers for resale, while its software helps pharmacies manage inventory and healthcare teams secure insurance approval for prescriptions. It also sells practice management and patient support services to clinicians and drugmakers. McKesson traces its business roots to 1833 and is headquartered in Irving, Texas.

Company size
10,001+
Company stage
IPO
Headquarters
Irving, TX
Founded
1833

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