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Added 5 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 5 mins ago
TR
Privacy Operations Engineer
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
Added 5 mins ago
G
Senior Engineer, Geotechnical
Glencore
Calgary, AB
- Full-time
Reporting to the Manager, Geological Engineering, the Senior Engineer, Geotechnical is responsible for:
Added 5 mins ago
OB
Marketing Technology Lead Developer
O2E Brands
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…full-stack software engineering, digital marketing, and MarTech infrastructure, this individual will serve as the primary technical partner for our marketing teams-turning our website into…
Added 5 mins ago
SP
Lead Solution Engineer, ECS, Public Sector
Salesforce Partner Canada
Toronto, ON
- Full-time
…to Canadian and US State and Local customers. The Solution Engineer is responsible for presenting our solutions based on the customer’s business and value drivers, seamlessly weaving…
Added 36 mins ago
M
Hardware, Calibration Engineer
Mecka
Richmond Hill, ON
- $160,000 to $200,000 CAD / year
- Full-time
Mecka AI is building the data infrastructure layer for robotics and embodied AI.
Added 51 mins ago
CE
Network Engineer
Capgemini Engineering
Toronto, ON
- Full-time
We are seeking an experienced Network Engineer to audit, assess, implement, and deliver end‑to‑end network and connectivity solutions for enterprise and service‑provider customers. You will…
Added 1 hour ago
AI Engineer, Data, AI and Analytics
WestJet Group
Calgary, AB
Collaborate with Cloud Operations and Infrastructure teams to maintain secure, reliable, and performant production environments.
Added 1 hour ago
S
Environmental Engineer
SMARTFOX
ON · Ontario, Canada
- $60,000 to $100,000 CAD / year
- Full-time
Support environmental impact assessments and permitting for infrastructure, energy, mining, and development projects under federal (IAAC) and provincial processes
Added 1 hour ago
IG
Data Engineer
Insight Global
Toronto, ON
- $70 to $80 CAD / hour
- Contract
We are seeking a Data Engineer to support a large enterprise transformation focused on building data pipelines, integrating data, and migrating data workloads from on-premises environments…
Added 1 hour ago
A
Senior SDET
Air-tek
Toronto, ON
- Full-time
We’re looking for a Senior Software Development Engineer in Test (SDET) to build and improve the infrastructure that makes reliable, scalable testing possible.
Added 1 hour ago
IC
GPU Validation Engineer
Intel Corporation
Toronto, ON · CAN - - Toronto
- Full-time
We are seeking a skilled and experienced GPU Validation Engineer to join our dynamic team. This role requires regular onsite presence to effectively collaborate with cross-functional teams…
Added 1 hour ago
AI
Forward Deployed Engineer (Python/Pyspark Developer)
Apptoza Inc.
Toronto, ON
- Contract
We are looking for a senior Forward Deployed Engineer who combines production-grade software engineering, data engineering, AI application development, and client-facing consulting. You…
Added 1 hour ago
1
Marketing Technology Lead Developer
1-800-GOT-JUNK?
Vancouver, BC · Toronto, ON
- Full-time
…full-stack software engineering, digital marketing, and MarTech infrastructure, this individual will serve as the primary technical partner for our marketing teams-turning our website into…
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
PG
Linux System Engineer
Pacer Group
Vancouver, BC
- $60 to $65 CAD / hour
- Contract
Job Title: Senior DevOps Engineer with Linux and HPC
Added 2 hours ago
M
Staff Software Engineer, AI
Maple
Toronto, ON
- Full-time
We’re looking for a Staff Software Engineer, AI to own and ship the next generation of AI-powered healthcare experiences at Maple.
Added 2 hours ago
Senior Engineer, Geotechnical
Elk Valley Resources
Calgary, AB · Sparwood, BC
Reporting to the Manager, Geological Engineering, the Senior Engineer, Geotechnical is responsible for:
Added 2 hours ago
Junior Full stack Developer (Front End Focus)
Scotiabank
Toronto, ON
…technology base, build and develop on strategic, forward-looking…
Added 2 hours ago
EV
Senior Engineer, Geotechnical
Elk Valley Resources
Sparwood, BC
- Full-time
Reporting to the Manager, Geological Engineering, the Senior Engineer, Geotechnical is responsible for:
Added 2 hours ago
V
Senior Full Stack Engineer
Viamo
Remote, Canada
- $100,000 to $140,000 CAD / year
- Full-time
- Remote
We are looking for a Senior Full Stack Engineer to join our growing, multinational team of engineers. We work passionately to improve the quality of life for people in lower and middle…
Added 2 hours ago
S
Business Developer Manager
Siemens
Montreal, QC
- Full-time
Added 2 hours ago
WD
Sr. Software Engineer - Emerging Technology
Walt Disney Animation Studios
Vancouver, BC
- $120,700 to $161,800 CAD / year
- Full-time
The Emerging Technology Sr. Software Engineer will collaborate with engineering and production teams to build supportive tooling and agentic workflows, focusing on templates and frameworks…
Added 2 hours ago
H
Senior Prototype Engineer
Humanoid
Burnaby, BC
- Full-time
We are looking for a Senior Prototype Engineer to drive the development, assembly, integration, and validation of advanced humanoid robotic systems, with a particular focus on robotic…
Added 3 hours ago
M
Sr. AI/ML Engineer, RAIB
McKesson
Mississauga, ON
- Full-time
…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…

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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