Sr. Machine Learning Ops Engineer

About the role

Join McKesson's growing AI/ML team and play a critical role in operationalizing machine learning and Generative AI solutions at scale. This role focuses on deploying, standardizing, and maintaining production-ready ML and agentic AI systems-enabling consistent, reliable, and optimized delivery of data science innovations that support McKesson's AIM28 strategic initiatives.

Responsibilities

• Lead deployment and operationalization of ML models and GenAI/agentic solutions, ensuring scalability, reliability, and performance
• Partner with Data Scientists to identify and automate high-impact model use cases, building end-to-end pipelines (CI/CD, monitoring, alerting)
• Define and enforce standardized deployment patterns and runbooks across teams
• Own KTLO (keep-the-lights-on) operations for ML and GenAI systems including health monitoring, logging, and performance tracking
• Design and implement pipelines for batch, real-time, and event-driven inference
• Establish observability frameworks (monitoring, logging, lineage, alerting)
• Enable deployment of agentic AI solutions using tools such as LangChain, LangGraph, Semantic Kernel, and Databricks tools
• Ensure secure deployment of applications with proper access controls (e.g., Okta integration)
• Drive cost and performance optimization across ML and GenAI workloads
• Partner with architecture, compliance, governance, and legal teams to meet enterprise standards
• Conduct ongoing research into emerging tools and technologies to improve deployment practices
• Guide and influence architectural decisions while maintaining clear separation between platform and deployment ownership
• What You Bring
• Strong experience deploying ML models into production environments
• Hands-on expertise with CI/CD pipelines, monitoring, and production ML systems
• Experience with GenAI or agentic AI frameworks (LangChain, Semantic Kernel, etc.)
• Knowledge of model observability, drift detection, and operational support
• Experience working in scaling or early-stage ML environments
• Proficiency with cloud platforms (AWS, Azure, or GCP)
• Strong cross-functional collaboration skills (Data Science, Product, Architecture)
• Ability to drive standardization, automation, and platform maturity
• Focus on reliability, scalability, and optimization
• Minimum Requirements
• Degree or equivalent and typically requires 7+ years of relevant experience.
• Preferable Skills & Experience
• Experience with Databricks ecosystem (e.g., Databricks Genie)
• Familiarity with LangChain, LangGraph, or Microsoft Semantic Kernel
• Exposure to GenAI cost optimization / FinOps practices
• Experience implementing secure enterprise applications (e.g., Okta)
• Experience in healthcare or regulated environments
• Experience scaling ML/AI capabilities from experimentation to production maturity
• Our Base Pay Range for this position
• $99,100 - $132,100
• 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 .
• McKesson is an Equal Opportunity Employe

Benefits

Additional Information

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 Title Senior MLOps Engineer This position follows our Flex & Connect model of 2x per week onsite in Mississauga, ON.

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