Sr. AI/ML Engineer, RAIB

Job description

Conceptual Proactive Problem-Solver Strategic Technologically Savvy Visual Thinker <meta data-json="{"ModuleType":13,"ApplyButtonText":"Apply","JobDetailsAlign":0,"JobDetailsDate":0,"JobDetailsJobTypeId":1,"JobDetailsSelectedDate":"2026-10-26T18:34:18.486Z","JobDetailsJobDateFormat":0,"JobDetailsJobLabelId":"Job ID","JobDetailsJobDatePosting":"Date posted","JobDetailsDescriptionFormat":0,"ShowApplyLater":false,"ShowApplyMobile":true,"ShowApplyLaterMobile":false,"ShowApplyLaterWeb":false,"ApplyLaterText":"Apply Later","ApplyLaterAlign":0,"ApplyLaterSubject":"[[JOB_TITLE]] at [[COMPANY_NAME]]","PublishedCandidateCardPageId":null,"ReferrerPageId":null,"ReferrerPageButtonText":"","ShowSavedJobsIcon":false,"IconLabel":"Save for Later","OverrideCandidateCard":false,"ModulePageType":2,"ModulePageName":"AJD - Design 1","DisplayJobDateFormat":"MM/dd/yyyy","JobDetailsSelectedId":"JR0155347","ApplyUrl":"https://mckesson.wd3.myworkdayjobs.com/External_Careers/job/CAN-ON-Mississauga/Sr-AI-ML-Engineer--RAIB_JR0155347/apply","JobDescription":"\u003Cp style=\u0022text-align:left\u0022\u003EMcKesson 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 \u2013 we care.\u003C/p\u003E\u003Cp style=\u0022text-align:inherit\u0022\u003E\u003C/p\u003E\u003Cp style=\u0022text-align:left\u0022\u003EWhat 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\u2019s health today, we want to hear from you.\u003C/p\u003E\u003Cp style=\u0022text-align:inherit\u0022\u003E\u003C/p\u003E\u003Cp style=\u0022text-align:inherit\u0022\u003E\u003C/p\u003E\u003Cp\u003E\u003Cspan style=\u0022color:#000000\u0022\u003E\u003Cb\u003EAbout the Role\u003C/b\u003E\u003C/span\u003E\u003C/p\u003E\u003Cp style=\u0022color:!important\u0022\u003E\u003Cspan style=\u0022color:#000000\u0022\u003EAt McKesson, we are advancing healthcare through trusted, scalable, and responsible AI solutions. We are seeking a Sr. AI/ML Engineer, RAIB to lead the development, evaluation, governance, and operationalization of machine learning and Generative AI solutions. This role combines deep technical expertise in ML engineering with a strong focus on Responsible AI practices, model governance, AI risk management, explainability, and production-scale deployment.\u003C/span\u003E\u003C/p\u003E\u003Cp style=\u0022color:!important\u0022\u003E\u003Cspan style=\u0022color:#000000\u0022\u003EYou will partner with cross-functional stakeholders to build high-quality AI systems that are secure, reliable, explainable, and aligned with business and regulatory requirements while helping shape McKesson\u0027s AI engineering standards.\u003C/span\u003E\u003C/p\u003E\u003Cbr /\u003E\u003Cp style=\u0022color:!important\u0022\u003E\u003Cspan style=\u0022color:#000000\u0022\u003E\u003Cb\u003EWhat You\u0027ll Do\u003C/b\u003E\u003C/span\u003E\u003C/p\u003E\u003Cp style=\u0022color:!important\u0022\u003E\u003Cspan style=\u0022color:#000000\u0022\u003E\u25CF Lead the design, development, testing, and deployment of machine learning and Generative AI solutions using Python and modern ML frameworks.\u003C/span\u003E\u003C/p\u003E\u003Cp style=\u0022color:!important\u0022\u003E\u003Cspan style=\u0022color:#000000\u0022\u003E\u25CF Review, validate, and challenge models developed by internal and external teams to ensure quality, performance, and risk compliance.\u003C/span\u003E\u003C/p\u003E\u003Cp style=\u0022color:!important\u0022\u003E\u003Cspan style=\u0022color:#000000\u0022\u003E\u25CF Establish model evaluation frameworks for predictive models, LLMs, and GenAI applications.\u003C/span\u003E\u003C/p\u003E\u003Cp style=\u0022color:!important\u0022\u003E\u003Cspan style=\u0022color:#000000\u0022\u003E\u25CF Conduct fairness, bias, and disparate impact assessments using tools such as Fairlearn and AIF360.\u003C/span\u003E\u003C/p\u003E\u003Cp style=\u0022color:!important\u0022\u003E\u003Cspan style=\u0022color:#000000\u0022\u003E\u25CF Develop explainability and interpretability capabilities using SHAP, LIME, model cards, and documentation standards.\u003C/span\u003E\u003C/p\u003E\u003Cp style=\u0022color:!important\u0022\u003E\u003Cspan style=\u0022color:#000000\u0022\u003E\u25CF Lead AI safety and GenAI evaluation activities, including red teaming, hallucination testing, toxicity assessment, and guardrail validation.\u003C/span\u003E\u003C/p\u003E\u003Cp style=\u0022color:!important\u0022\u003E\u003Cspan style=\u0022color:#000000\u0022\u003E\u25CF Implement model monitoring, drift detection, observability, and AI risk controls within production environments.\u003C/span\u003E\u003C/p\u003E\u003Cp style=\u0022color:!important\u0022\u003E\u003Cspan style=\u0022color:#000000\u0022\u003E\u25CF Partner with engineering, product, security, and governance teams to drive AI best practices, innovation, and operational excellence.\u003C/span\u003E\u003C/p\u003E\u003Cbr /\u003E\u003Cp style=\u0022color:!important\u0022\u003E\u003Cspan style=\u0022color:#000000\u0022\u003E\u003Cb\u003EBasic Requirements\u003C/b\u003E\u003C/span\u003E\u003C/p\u003E\u003Cp style=\u0022color:!important\u0022\u003E\u003Cspan style=\u0022color:#000000\u0022\u003E\u25CF 7\u002B years of experience designing, developing, deploying, and supporting production machine learning solutions.\u003C/span\u003E\u003C/p\u003E\u003Cp\u003E\u003Cspan style=\u0022color:#000000\u0022\u003E\u25CF Bachelor\u0027s degree in computer science, Engineering, Data Science, \u003C/span\u003EMathematics, or a related \u003Cspan style=\u0022color:#000000\u0022\u003Etechnical field, or equivalent experience.\u003C/span\u003E\u003C/p\u003E\u003Cp\u003E\u003Cspan style=\u0022color:#000000\u0022\u003E\u25CF Experience with Python, as well as CI/CD and CLI/scripting tools\u003C/span\u003E\u003C/p\u003E\u003Cp\u003E\u003Cspan style=\u0022color:#000000\u0022\u003E\u25CF Experience deploying classical machine learning models solving classification, regression, and time series forecasting problems\u003C/span\u003E\u003C/p\u003E\u003Cp\u003E\u003Cspan style=\u0022color:#000000\u0022\u003E\u25CF Experience in managing ML infrastructure at scale in a cloud provider such as Azure (preferred) or AWS programmatically with infrastructure as code\u003C/span\u003E\u003C/p\u003E\u003Cp\u003E\u003Cspan style=\u0022color:#000000\u0022\u003E\u25CF\u003C/span\u003E Hands-on experience with machine learning frameworks such as PyTorch and scikit-learn.\u003C/p\u003E\u003Cp\u003E\u003Cspan style=\u0022color:#000000\u0022\u003E\u25CF Experience building and deploying ML models and data pipelines in production environments.\u003C/span\u003E\u003C/p\u003E\u003Cp\u003E\u003Cspan style=\u0022color:#000000\u0022\u003E\u25CF Knowledge of model evaluation, validation, and performance measurement techniques.\u003C/span\u003E\u003C/p\u003E\u003Cp\u003E\u003Cspan style=\u0022color:#000000\u0022\u003E\u25CF Demonstrated experience collaborating across technical and business teams to deliver complex AI initiatives.\u003C/span\u003E\u003C/p\u003E\u003Cbr /\u003E\u003Cp style=\u0022color:!important\u0022\u003E\u003Cspan style=\u0022color:#000000\u0022\u003E\u003Cb\u003EPreferred Skills/Experience\u003C/b\u003E\u003C/span\u003E\u003C/p\u003E\u003Cp style=\u0022color:!important\u0022\u003E\u003Cspan style=\u0022color:#000000\u0022\u003E\u25CF Experience evaluating and governing Large Language Models (LLMs) and Generative AI applications.\u003C/span\u003E\u003C/p\u003E\u003Cp style=\u0022color:!important\u0022\u003E\u003Cspan style=\u0022color:#000000\u0022\u003E\u25CF Hands-on expertise with Fairlearn, AIF360, SHAP