Lead responsible AI engineering at McKesson using Python and contemporary machine learning frameworks to build scalable, explainable healthcare solutions. Shape production AI governance.
As a Senior AI/ML Engineer, RAIB, you will develop, evaluate, govern, and operationalize machine learning and Generative AI solutions. The work combines ML engineering with AI risk management, model explainability, safety evaluation, and production deployment. You will partner across engineering, product, security, and governance teams.

Key Responsibilities
Design, test, and deploy machine learning and Generative AI solutionsReview models for quality, performance, and risk complianceEstablish evaluation frameworks for predictive models and LLM applicationsConduct fairness, bias,



and disparate impact assessmentsImplement monitoring, drift detection, observability, and AI risk controlsRequirements: Seven or more years supporting production machine learning solutionsBachelor’s degree or equivalent technical experiencePython, CI/CD, and CLI or scripting tool experiencePyTorch, scikit-learn, and production ML pipeline experienceCloud infrastructure experience with Azure or AWS programmaticallyApply senior AI engineering expertise across responsible AI, model governance, explainability, and production machine learning at McKesson. #J-18808-Ljbffr

📌 Senior Responsible Ai Engineer (Winnipeg)
🏢 McKesson
📍 Winnipeg