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Software Development
Lead AI/ML Engineer, AI Big Bets
@MCK McKesson Corporation
[Hiring] Lead AI/ML Engineer, AI Big Bets @MCK McKesson Corporation
Apr 02, 2025 - MCK McKesson Corporation is hiring a remote Lead AI/ML Engineer, AI Big Bets. 💸 Salary: $182,700 - $304,500. 📍Location: USA.
This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.
Role Description
This role will design and develop AI/ML solution prototypes, in support of the rapid experimentation efforts around identification of AI driven incremental value opportunities.
- Lead AI/ML Engineering for AI Big Bets Rapid Experimentation
- Design and implement advanced ML pipelines enabling rapid model development, experimentation, and iteration
- Develop scalable AI architecture that supports fast prototyping while maintaining production-ready standards
- Create robust MLOps frameworks for continuous integration and deployment of AI models
- Build reusable components for feature engineering, model training, and inference optimization
- Implement monitoring systems to track model performance, drift, and explainability metrics
- Optimize AI systems for computational efficiency and scalability across diverse business applications
- Collaborative Leadership & Stakeholder Engagement:
- Partner with data analysts, data scientists, product managers, and business stakeholders to translate business problems into technical AI solutions
- Provide technical guidance on model selection, hyperparameter tuning, and performance optimization
- Lead technical discussions and foster knowledge sharing across multidisciplinary teams
- ML System Design & Integration:
- Architect end-to-end ML systems that integrate with existing enterprise applications
- Develop standardized approaches for model deployment, A/B testing, and feature flagging
- Design technical solutions for real-time inference and batch prediction workflows
- Create frameworks for automated model retraining and performance validation
- Research & Technical Excellence:
- Stay current with state-of-the-art AI/ML research and evaluate applicability to business challenges
- Explore and implement novel deep learning architectures and reinforcement learning techniques
- Contribute to internal knowledge repositories and technical documentation
Qualifications
- Typically requires 10+ years of relevant experience
- Bachelor’s degree required in a quantitative field such as Statistics, Computer Science, Economics, Operations Research, Engineering, Applied Mathematics or related field
- MBA or Master’s degree in a quantitative field preferred OR equivalent experience
Requirements
- Experience working in AI/ML-driven environments, supporting rapid experimentation and model deployment (familiarity with Delta Lake, Azure Data Factory is a plus)
- Demonstrated progression to senior levels through recognized expertise and contributions to team and organizational success
- Extensive expertise in deep learning frameworks (PyTorch, TensorFlow) with demonstrated ability to customize architectures for specific business challenges
- Proven track record of leading complex AI initiatives from conceptualization through production deployment
- Significant experience optimizing and fine-tuning large language models and generative AI systems
- Expert-level Python programming with demonstrated proficiency in software engineering best practices
- Experience developing novel ML methodologies that have demonstrably addressed complex business challenges
- Proven ability to translate cutting-edge research into practical, production-ready systems
- Expert in multiple AI domains (NLP, computer vision, reinforcement learning, time series forecasting)
- Experience mentoring technical teams and elevating organization-wide ML capabilities
- Deep understanding of responsible AI practices including bias mitigation, model explainability, and privacy-preserving techniques
- Strong track record of collaboration with business stakeholders to identify high-impact AI opportunities
- Experience designing and implementing MLOps practices for enterprise-scale model deployment
- Demonstrated ability to balance innovation with practical business outcomes when applying AI techniques
Benefits
We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered.
- Our Base Pay Range for this position $182,700 - $304,500
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| 📍 | Be aware of the location restriction for this remote position: USA |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
Back to Remote jobs >
Software Development
Software Development
|
Salary
💸
$182,700 - $304,500
|
Remote
Location
USA
|
|
Job Type
full-time
|
Posted
Apr 02, 2025
|
️
| 📍 | Be aware of the location restriction for this remote position: USA |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
