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Added 4 mins ago
TI
Software Engineer
Trimble Inc.
Kamloops, BC · Canada - Kamloops, BC
- Full-time
Accelerate the Future of AI-Driven Engineering as our next AI Agentic Software Engineer (P3)
Added 50 mins ago
Bilingual Senior Specialist, Software Engineering (Environment Management - DEVOPS)
CMHC - SCHL
Ottawa, ON · Montreal, QC
…Specialist, you’ll learn current model, design and evolve reusable infrastructure pipelines that provision, configure, and maintain CMHC’s cloud environments reporting to the platform…
Added 50 mins ago
GT
DevOps Engineer
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $80 to $90 CAD / hour
- Contract
This DevOps Engineer role sits within the Global Asset Management (GAM) line of business and is focused on MOP (Maintain Operations/Tech Debt) funded activity. The contractor will be…
Added 50 mins ago
CE
Network Engineer
Capgemini Engineering
Toronto, ON
- Full-time
Work closely with cloud, security, application, and infrastructure teams to deliver integrated solutions.
Added 50 mins ago
SI
Cloud Engineer
Spait Infotech
Canada
- Full-time
Design, deploy, and maintain cloud infrastructure on AWS, Microsoft Azure, or Google Cloud Platform (GCP).
Added 1 hour ago
AI Engineer, Data, AI and Analytics
WestJet Group
Calgary, AB
Develop practical, maintainable solutions that align with established architecture, security, and operational standards.
Added 1 hour ago
H
Software Engineer – Platform Security & Modernization
HCLTech
Montreal, QC
- $85,000 to $90,000 CAD / year
- Full-time
We are seeking a Software Engineer to join a global enterprise technology team responsible for the development, modernization, security, and operational reliability of mission-critical…
Added 2 hours ago
BB
Engineer, Cloud Operations
Bed Bath & Beyond
Brampton, ON
- Full-time
Sleep Country Canada is looking for a Junior Cloud Engineer to play a critical role in supporting day-to-day operations of the organization’s cloud infrastructure, helping ensure systems…
Added 2 hours ago
Junior Full stack Developer (Front End Focus)
Scotiabank
Toronto, ON
…technology base, build and develop on strategic, forward-looking…
Added 3 hours ago
M
Sr. AI/ML Engineer, RAIB
McKesson
Mississauga, ON
- Full-time
● Experience in managing ML infrastructure at scale in a cloud provider such as Azure (preferred) or AWS programmatically with infrastructure as code
Added 3 hours ago
C
Sr. Database Automation Engineer
CIBC
Toronto, ON
- Full-time
You’ll be joining a technology team focused on automation engineering and infrastructure operations, helping to deliver reliable, scalable, and secure platforms that support critical…
Added 3 hours ago
CI
Principal Architect
Camis Inc
Guelph, ON
- Full-time
Establish standards for scalability, reliability, observability, security, performance, and cost optimization.
Added 3 hours ago
T
Senior Azure DevOps Engineer | CI/CD | Infrastructure as Code | Cloud Operations
ThoughtStorm
Toronto, ON
- Contract
🔹 Strong hands-on experience with Microsoft Azure infrastructure, platform services, networking, identity, security, and monitoring.
Added 3 hours ago
M
RQ11740 - DevOPS/Cloud Engineer - Senior
Maarut
Toronto, ON
- Contract
Experience with Microsoft Azure infrastructure, platform
Added 4 hours ago
I
DevOPS/Cloud Engineer
isgSearch
Toronto, ON · Greater Toronto Area, Canada
- Contract
Seeking a Senior DevOps Engineer with 7+ years of experience designing and supporting cloud-based enterprise applications, CI/CD pipelines, infrastructure automation, and production…
Added 4 hours ago
CE
Network Engineer
Capgemini Engineering
Mississauga, ON
- Full-time
Work closely with cloud, security, application, and infrastructure teams to deliver integrated solutions.
Added 5 hours ago
FN
Software Test Engineer II
First National Financial LP
Toronto, ON · East York, ON
- Contract
We are hiring IT Software Test Engineer II within our IT Quality Assurance team!
Added 6 hours ago
G
Senior Software Engineer
GryphTech
Mississauga, ON
- Full-time
Senior Software Engineer (AI-First Engineering)Position Summary
Added 6 hours ago
CS
Senior DevOps Engineer
CQ Search Group Ltd.
Toronto, ON
- Contract
· Experience with Azure infrastructure, platform services, networking, identity, monitoring, and security.
Added 6 hours ago
V
Cloud Engineer
VySystems
Toronto, ON
- Contract
Manage Azure infrastructure across development, lab, non-production, and production environments.
Added 6 hours ago
'
Cloud Network Engineer
''
Florenceville-Bristol, NB
- Full-time
- Other
Reporting to the Manager of Network Services, the Network Engineer is responsible for supporting, operating, and evolving enterprise network infrastructure across on-prem and cloud…
Added 7 hours ago
SM
RQ00816 – Security Specialist – Intermediate
S M Software Solutions Inc
Toronto, ON
- Full-time
We are seeking an experienced Security Specialist – Intermediate with strong hands-on expertise in Continuous Threat Exposure Management (CTEM), vulnerability management, DevSecOps,…
Added 7 hours ago
MF
Staff Software Engineer
Magnet Forensics
Canada
- Full-time
…investigators fight crime, protect assets, and guard national…
Added 7 hours ago
JS
Lead Systems Engineer
Jonas Software
Markham, ON · Toronto, ON · Canada - Markham - Ontario
- Full-time
The ideal candidate is a hands-on technologist with strong expertise in Microsoft enterprise technologies, cloud infrastructure, automation, and security. This individual will play a key…
Added 7 hours ago
Senior Lead Systems Engineer
Braze
Toronto, ON
…other critical business systems. You'll partner closely with Security, Infrastructure, Product, and IT teams to build reliable, scalable solutions that reduce operational overhead and…

McKesson

Sr. AI/ML Engineer, RAIB

Mississauga, ON, Canada

$99,100 - $132,100 · Full-time

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Job details

Pay: $99,100 - $132,100
Job type: Full-time
Apply by: Nov 26, 2026
Experience: ● 7+ years of experience designing, developing, deploying, and supporting production machine learning solutions.
Posting language: English
Posted: Oct 26, 2026

Original job description

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.

About the Role

At 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.

You 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's AI engineering standards.

What You'll Do

Lead the design, development, testing, and deployment of machine learning and Generative AI solutions using Python and modern ML frameworks.

Review, validate, and challenge models developed by internal and external teams to ensure quality, performance, and risk compliance.

Establish model evaluation frameworks for predictive models, LLMs, and GenAI applications.

Conduct fairness, bias, and disparate impact assessments using tools such as Fairlearn and AIF360.

Develop explainability and interpretability capabilities using SHAP, LIME, model cards, and documentation standards.

Lead AI safety and GenAI evaluation activities, including red teaming, hallucination testing, toxicity assessment, and guardrail validation.

Implement model monitoring, drift detection, observability, and AI risk controls within production environments.

Partner with engineering, product, security, and governance teams to drive AI best practices, innovation, and operational excellence.

Basic Requirements

7+ years of experience designing, developing, deploying, and supporting production machine learning solutions.

Bachelor's degree in computer science, Engineering, Data Science, Mathematics, or a related technical field, or equivalent experience.

Experience with Python, as well as CI/CD and CLI/scripting tools

Experience deploying classical machine learning models solving classification, regression, and time series forecasting problems

Experience in managing ML infrastructure at scale in a cloud provider such as Azure (preferred) or AWS programmatically with infrastructure as code

Hands-on experience with machine learning frameworks such as PyTorch and scikit-learn.

Experience building and deploying ML models and data pipelines in production environments.

Knowledge of model evaluation, validation, and performance measurement techniques.

Demonstrated experience collaborating across technical and business teams to deliver complex AI initiatives.

Preferred Skills/Experience

Experience evaluating and governing Large Language Models (LLMs) and Generative AI applications.

Hands-on expertise with Fairlearn, AIF360, SHAP, and LIME.

Experience with AI explainability, transparency, and model documentation practices.

Knowledge of AI safety testing, red teaming, hallucination detection, toxicity monitoring, and guardrail implementation.

Experience with model observability, drift detection, AI monitoring platforms, and MLOps tooling.

Familiarity with Responsible AI frameworks and standards such as NIST AI RMF, ISO 42001, or comparable governance frameworks.

Experience establishing AI risk management controls and audit-ready governance processes.

Proven ability to mentor engineers, drive technical standards, and influence enterprise AI strategy.

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. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.

Our Base Pay Range for this position

$99,100 - $132,100

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson’s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:

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 Employer

McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca. Resumes or CVs submitted to this email box will not be accepted.

Join us at McKesson!

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More about this job

Responsibilities

Lead the development, evaluation, and operationalization of machine learning and Generative AI solutions while ensuring compliance with responsible AI practices. Collaborate with cross-functional teams to implement model monitoring, risk controls, and AI safety standards across production environments.

Requirements

Requires 7+ years of experience in designing and deploying production machine learning solutions with proficiency in Python and modern ML frameworks. A bachelor's degree in a technical field is required, along with experience in cloud infrastructure and model governance.

Skills

Python
Machine Learning
Generative AI
Model Governance
AI Risk Management
PyTorch
Scikit-learn
Fairlearn
AIF360
SHAP
LIME
CI/CD
Cloud Computing
MLOps
Data Pipelines
Model Monitoring

Benefits

Annual bonus
Long-term incentive opportunities

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Generative AI
Python
PyTorch
Scikit-learn
Fairlearn
AIF360
SHAP
LIME
CI/CD
Azure
AWS
MLOps
Model Governance
AI Risk Management
Red Teaming
Hallucination Detection
Drift Detection
Infrastructure as Code
Healthcare
Data Science
Predictive Modeling
Explainability
NIST AI RMF
ISO 42001
Observability
Cloud Computing
Software Engineering
Regulatory Compliance

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