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: