Technical AI Enablement Senior Engineer

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 organization. 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.

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 organization.
• Support the development of a robust AI capability within McKesson Technology.

Critical Skills

• 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.

Preferred Qualifications

• Bachelor's Degree or equivalent experience in Computer Science, Engineering, Information Technology, or related field.
• 5+ years of relevant professional experience, including 2+ years in AI/automation solution deployment or technical enablement roles.
• 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 organizations.

Behavioral Competencies

• Leadership: Demonstrate 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 operationalized, integrated solutions at scale. By ensuring architectural soundness and partnering across teams, the Technical AI Enablement Senior Engineer enables McKesson to realize the full potential of AI and automation investments.

Our Base Pay Range for this position

€72,000 - €120,000

Benefits

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.

Compliance Notice

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