AI​/ML Engineer

About The Company

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 Senior AI/ML Engineering Specialist, Responsible AI, is a pivotal role within McKesson that focuses on ensuring the ethical and responsible deployment of artificial intelligence and machine learning models across the enterprise. This role acts as the technical steward for AI governance, working closely with various business units and project teams to evaluate, diagnose, and remediate AI solutions to meet high standards of fairness, transparency, robustness, and compliance.

The specialist will serve as both a hands-on engineer and an advisor, developing tools, frameworks, and processes to embed responsible AI practices into the lifecycle of AI models. The ideal candidate will possess a strong technical background in ML engineering, a deep understanding of responsible AI principles, and the ability to translate policies into scalable technical solutions.

Candidates should possess a degree in Computer Science, AI/ML, Statistics, or a related field, with a preference for a Master s degree. Typically, a minimum of 7+ years of relevant experience in machine learning, MLOps, or applied AI is required. Strong proficiency in Python and hands-on experience with ML frameworks such as scikit-learn, PyTorch, or Tensor Flow are essential. Candidates should have demonstrated experience in evaluating and remediating model bias, data quality issues, and robustness in production environments.

Familiarity with responsible AI regulations and frameworks, such as NIST AI RMF or EU AI Act, is necessary to effectively implement compliant solutions. Experience with enterprise MLOps platforms like AzureML, Databricks, Sage Maker, or Vertex AI is highly desirable. Additional skills include building automated testing frameworks, model governance documentation, and root cause analysis of AI incidents.

• Conduct comprehensive responsible AI assessments of models and AI solutions across the enterprise, evaluating bias, fairness, explainability, data quality, and robustness according to established standards.
• Design and implement remediation strategies when models fail governance checks, including rebalancing training data, applying fairness constraints, adding explainability layers, and hardening models against adversarial threats.
• Develop, maintain, and enhance the enterprise Responsible AI toolkit, including reusable libraries, automated testing frameworks, scanning pipelines, and validation APIs integrated with the MLOps platform.
• Collaborate with Data Science and ML Engineering teams during model development phases, providing real-time guidance, code reviews, and technical support to ensure responsible AI practices are embedded from inception.
• Create and maintain comprehensive documentation such as model cards, datasheets, and technical reports to ensure traceability and transparency of AI models from training to deployment.
• Investigate and analyze production incidents related to model behavior, performing root cause analysis and developing engineering solutions to prevent recurrence.
• Participate in enterprise red-teaming and adversarial testing initiatives, especially for generative AI and agentic AI systems, to evaluate model vulnerabilities and safety measures.
• Automate compliance evidence collection processes to facilitate internal audits, regulatory reporting, and transparency requirements for AI systems.

McKesson offers a competitive compensation package as part of our Total Rewards program, tailored to recognize experience, performance, and skills. The compensation includes base salary, annual bonuses, and potential long-term incentives, all aligned with market standards and regulatory compliance. We also provide comprehensive health benefits, retirement plans, paid time off, and professional development opportunities. Our commitment extends to fostering a supportive work environment that encourages innovation, collaboration, and continuous learning.

Additional benefits may include wellness programs, employee assistance programs, and flexible work arrangements, all designed to support your overall well-being and career growth.

McKesson is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity,…