Senior AI/ML Engineer, AI Lab

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you.

Job Description

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you.

The internal McKesson Technology team is at the forefront of driving digital transformation, including the adoption and integration of artificial intelligence (AI) to deliver measurable value across the organisation.

We are seeking a Technical AI Enablement Senior Engineer who will bridge ideas to technology, partnering with infrastructure, cloud, and data teams to ensure architectural soundness and scalability.. This role focuses on designing, building, and operationalizing AI solutions that deliver measurable business value

This role reports directly to the VP, McKesson Technology – AI & Automation.

Basic/Required Skills

• 5+ years of relevant professional experience, including 2+ years in AI/automation solution deployment or technical enablement roles.
• Expertise in AI and automation technologies, with hands-on experience in designing and implementing solutions.
• Strong architectural skills, with a proven ability to ensure scalability, reliability, and security in AI systems.
• Ability to translate business requirements and ideas into robust technical solutions.
• Experience collaborating with infrastructure, cloud, and data teams to deliver integrated outcomes.
• Excellent cross-functional communication skills, able to work effectively with technical and non-technical stakeholders.
• Proven experience in developing and deploying AI solutions in production environments.
• Experience implementing MLOps pipelines and containerized deployments.
• Technology stack & tools:
• AI Frameworks/tools: Experience with tools such as LangChain and OpenAI.
• Automation Platforms: Experience with automation technologies (e.g., UiPath).
• Programming Languages: Knowledge of Python and SQL; ability to work with APIs.
• Cloud Services: Hands-on experience with Azure, AWS, or Google Cloud.
• Modern Practices: Familiarity with MLOps, containerization (Docker), and CI/CD pipelines for deployment.
  
  
  

Key Accountabilities

Technical Enablement

• Partner with infrastructure, cloud, and data teams to design and deliver scalable AI solutions.
• Ensure architectural soundness, security, and compliance in all AI deployments.
• Translate business ideas and requirements into technical specifications and actionable plans.
• Implement best practices for code quality, testing, and deployment.
  
  
  

Solution Integration

• 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.
  
  
  

Cross-Functional Collaboration

• Act as a technical bridge between business, data, and technology teams.
• Facilitate knowledge sharing and technical enablement across the organisation.
• Support the development of a robust AI capability within McKesson Technology.
  
  
  

Preferred Qualifications

• Bachelor’s Degree or equivalent experience in Computer Science, Engineering, Information Technology, or related field.
• Experience with cloud platforms (e.g., Azure, AWS, Google Cloud) and modern data architectures.
• Hands-on experience with CI/CD, container orchestration (Kubernetes), and scalable architectures.
• Certifications in AI, cloud architecture, or automation technologies.
• Experience working in large, complex, multinational organisations.
  
  
  

Behavioral Competencies

• Leadership: Demonstrates technical leadership and the ability to influence outcomes.
• Accountability: Takes ownership for delivering robust, scalable solutions.
• Adaptability: Thrives in a fast-paced, evolving technology landscape.
• Collaboration: works effectively with cross-functional teams.
• Communication: Explains complex technical concepts clearly to diverse audiences.
• Problem Solving: Applies advanced engineering skills to overcome technical challenges.
  
  
  

Why This Role is Critical

This position is essential for turning AI pilots into operationalised, integrated solutions at scale. By ensuring architectural soundness and partnering across teams, the Technical AI Enablement Senior Engineer enables McKesson to realise the full potential of AI and automation investments.

At McKesson, we care about the well-being of the patients and communities we serve, and that starts with caring for our people. That’s why we have a Total Rewards package that includes comprehensive benefits to support physical, mental, and financial well-being. Our Total Rewards offerings serve the different needs of our diverse employee population and ensure they are the healthiest versions of themselves.

As part of Total Rewards, we are proud to offer a competitive compensation package at McKesson. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered.

Our Base Pay Range for this position

€72,000 - €120,000

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson’s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:

McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.

McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.

McKesson job postings are posted on our career site: careers.mckesson.com.