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.

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

• Experience implementing MLOps pipelines and containerized deployments.
• 7+ years of relevant professional experience, including 2+ years in AI/automation solution deployment or technical enablement roles.
• 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.
• 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.

Preferred Skills

• 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.

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.

Behavioral Competencies

• Le