Jobs in Canada

Email me new jobs Save this search

Added 1 month ago
C
Salesforce Solution Architect
Cognizant
Toronto, ON
- Full-time
As a Salesforce Solution Architect, you will make an impact by defining and delivering end-to-end Salesforce solutions that align with business strategy and enterprise-wide technology…
Added 1 month ago
KC
Manager, Workday HCM - Solution Architect
KPMG Canada
Toronto, ON
- Full-time
Lead the design, architecture, and implementation of complex Workday HCM solutions, ensuring alignment with business objectives and enterprise technology standards.
Added 1 month ago
KC
Manager, Workday HCM - Solution Architect
KPMG Canada
Calgary, AB
- Full-time
Lead the design, architecture, and implementation of complex Workday HCM solutions, ensuring alignment with business objectives and enterprise technology standards.
Added 1 month ago
KC
Manager, Workday HCM - Solution Architect
KPMG Canada
Ottawa, ON
- Full-time
Lead the design, architecture, and implementation of complex Workday HCM solutions, ensuring alignment with business objectives and enterprise technology standards.
Added 1 month ago
KC
Manager, Workday HCM - Solution Architect
KPMG Canada
Vancouver, BC
- Full-time
Lead the design, architecture, and implementation of complex Workday HCM solutions, ensuring alignment with business objectives and enterprise technology standards.
Added 1 month ago
D
Manager, Product Engineering & Development - Full-Stack Builder
Deloitte
Toronto, ON
- Full-time
Custom development: architect and build cloud-native applications across the full technology stack, leading modernization and product engineering from pursuit through production.
Added 1 month ago
SH
Payroll & System Specialist
Scarborough Health Network
Toronto, ON · Consilium Place
- Full-time
…communities. We are home to North America’s largest nephrology program, as well as the designated cardiac care and spine centre for Scarborough and surrounding communities to the east. We…
Added 1 month ago
R
Senior Analyst – AI Models Risk and Governance
RBC
Vancouver, BC · Toronto, ON
- Full-time
…Business, and Risk, collaborating with top-tier stakeholders to architect the future of digital banking. If you’re a dynamic go-getter, passionate about AI, and shaping the future of Gen AI…
Added 1 month ago
RB
Senior Analyst – AI Models Risk and Governance
Royal Bank of Canada
Toronto, ON
- Full-time
…Business, and Risk, collaborating with top-tier stakeholders to architect the future of digital banking. If you’re a dynamic go-getter, passionate about AI, and shaping the future of Gen AI…
Added 1 month ago
O
Technical Account Manager (Canada - Enterprise - Auth0)
Okta
Toronto, ON
- Full-time
Technical Account Manager (TAM) – Enterprise - Auth0
Added 1 month ago
NB
Principal Developer - MuleSoft
National Bank of Canada
Edmonton, AB
- Full-time
…skills, your experience building API-led integrations in complex enterprise environments, and your knowledge of integration patterns, security, and DevOps practices, you'll have a positive…
Added 1 month ago
Technical Account Manager (Canada - Enterprise - Auth0)
Okta
Toronto, ON
Technical Account Manager (TAM) – Enterprise - Auth0
Added 1 month ago
TI
DevOps Engineer
TitanFile Inc.
Toronto, ON
- Full-time
This person will report to our Lead Architect and Infrastructure Manager and will be central to how we build, deploy, and operate our platform. The role is an even split between building…
Added 1 month ago
TI
DevOps Engineer
TitanFile Inc.
Toronto, ON
- Full-time
This person will report to our Lead Architect and Infrastructure Manager and will be central to how we build, deploy, and operate our platform. The role is an even split between building…
Added 1 month ago
RT
Integration Engineer
Russell Tobin
Toronto, ON
- $65 to $75 CAD / hour
- Contract
Architect scalable, enterprise-grade integrations across systems
Added 1 month ago
Y
Data Architect
Yochana
Toronto, ON
- Full-time
We are seeking an experienced Data Architect to lead the architecture and modernization of our enterprise data platforms. This role is critical as we undertake a large-scale migration from…
Added 1 month ago
V
Data Architect
VySystems
Toronto, ON
- Full-time
Job Summary We are seeking an experienced Data Architect to lead the architecture and modernization of our enterprise data platforms. This role is critical as we undertake a large-scale…
Added 1 month ago
AS
Data Scientist
AgileGrid Solutions
Canada
- Full-time
…including large language models and AI agents, to address diverse enterprise challenges. You will collaborate with cross-functional teams to translate complex business requirements into…
Added 1 month ago
SS
SAP Test Automation Architect
Syncredible Solutions
Calgary, AB
- Full-time
Role Title: SAP Test Automation Architect – SAP S/4HANA Brownfield Migration
Added 1 month ago
A
Senior Wealth Advisor
ATB
Fort McMurray, AB
- Full-time
Imagine running your own enterprise, but with the backing, support, and resources of an award-winning financial institution. As a Senior Financial Advisor at ATB Wealth, you aren’t just…
Added 1 month ago
BC
Sr. Full Stack Software Engineer
Blackpoint Cyber
Remote, Canada
- $131,400 to $175,200 CAD / year
- Full-time
- Remote
5-8 years of industry experience in full-stack development, with demonstrated expertise delivering scalable, high-performance systems in fast-paced, enterprise-level environments.
Added 1 month ago
S&
Spécialiste, Infrastructure IA et infonuagique | AI & Cloud Infrastructure Specialist
S & E Services Limited Partnership
Montreal, QC
- Full-time
Added 1 month ago
PS
Network Architect
Personnel Search Ltd.
NB · New Brunswick, Canada
- Full-time
The Network Solution Architect is responsible for designing and implementing robust, scalable, and secure IT infrastructure solutions that align with the company’s strategic goals. This…
Added 3 months ago
C
SAP S/4HANA Enterprise Architect
Capgemini
Mississauga, ON
- Full-time
Seeking a senior SAP Enterprise Architect with 14+ years of SAP experience and 8+ years leading SAP S/4HANA transformation programs. The role focuses on driving large-scale ECC to S/4HANA…
Added 1 month ago
N
Staff Engineer - Inference /AI
Nutanix
Vancouver, BC
- $171,000 to $257,000 CAD / year
- Full-time
Architect, design, and develop horizontally scalable, containerized, fault-tolerant services on Kubernetes for enterprise AI and LLM workloads.

AgileGrid Solutions

Data Scientist

Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Posting language: English
Posted: Sep 15, 2026

Original job description

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.

McKesson Corporation is seeking a highly skilled and innovative Lead Data Scientist with experience in Generative AI development. This role will lead the design, development, and deployment of cutting-edge machine learning and Generative AI solutions, leveraging advanced techniques to solve complex healthcare challenges and drive business transformation.

About The Role

The Lead Data Scientist role at McKesson offers an exciting opportunity to spearhead the development of advanced AI solutions that can revolutionize healthcare operations and patient outcomes. As a key member of our data science team, you will be responsible for designing, implementing, and maintaining state-of-the-art Generative AI models, including large language models and AI agents, to address diverse enterprise challenges. You will collaborate with cross-functional teams to translate complex business requirements into innovative AI solutions, ensuring they are scalable, secure, and compliant with industry regulations. Your leadership will be instrumental in establishing best practices for prompt engineering, model evaluation, and deployment, while mentoring junior team members. This role demands a combination of technical expertise, strategic thinking, and effective communication skills to influence stakeholders and drive impactful projects.

Qualifications

The ideal candidate will possess a master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Data Science, or a related field. You should have 7-10+ years of experience in data science or advanced analytics, with a proven track record in developing and deploying Generative AI and large language models in production environments. Expertise in designing scalable ML and GenAI solutions, including RAG architectures and AI automation workflows, is essential. Strong proficiency in Python and modern ML frameworks such as PyTorch, TensorFlow, and Hugging Face is required. You should have a deep understanding of machine learning algorithms, statistical modeling, and data structures, along with experience working on cloud platforms like Azure (preferred), AWS, or GCP, and MLOps practices. Excellent communication skills are necessary to articulate complex technical concepts to diverse audiences, and demonstrated leadership in project management and stakeholder influence is highly valued.

Responsibilities

Lead the end-to-end lifecycle of Generative AI and agentic AI solutions, including ideation, research, prototyping, implementation, evaluation, deployment, and ongoing support.
Architect and develop scalable GenAI systems such as large language models, Retrieval-Augmented Generation (RAG), AI agents, and intelligent automation workflows to enhance decision-making, operational efficiency, and customer experience.
Drive adoption of best practices in prompt engineering, model evaluation, fine-tuning strategies, and secure hosting to ensure optimal performance and security.
Apply advanced data science and machine learning techniques across use cases including predictive modeling, NLP, anomaly detection, recommendation systems, and analytics enabled by GenAI.
Develop custom ML models and analytical frameworks tailored to complex healthcare data challenges, ensuring solutions are relevant and impactful.
Perform exploratory data analysis, feature engineering, and statistical analysis to generate insights and inform solution design.
Collaborate with engineering and platform teams to deploy, monitor, and maintain AI solutions in cloud environments, following MLOps best practices.
Establish model performance tracking, drift detection, and continuous improvement processes to ensure reliability and accuracy of deployed models and AI agents.
Ensure solutions are scalable, cost-effective, resilient, and aligned with enterprise architecture standards.
Maintain strong model governance, documentation, and auditability to meet regulatory and organizational standards.
Apply Responsible AI principles, including transparency, explainability, data privacy, and security, especially within healthcare contexts.
Provide guidance on the ethical and compliant use of LLMs and AI agents across various enterprise applications.
Work closely with business stakeholders and product managers to translate requirements into clear problem statements, solution designs, and project roadmaps.
Present technical insights and project updates to both technical teams and executive leadership.
Mentor junior data scientists and engineers, fostering a culture of innovation, continuous learning, and technical excellence.

Benefits

At McKesson, we are committed to offering a comprehensive benefits package that supports your health, well-being, and professional growth. Our Total Rewards program includes competitive salary packages, health insurance, retirement plans, and wellness programs. We also provide opportunities for continuous learning and development, including training, certifications, and career advancement programs. Additionally, employees enjoy work-life balance initiatives, paid time off, and employee assistance programs. We believe in recognizing and rewarding our team members' contributions and fostering a collaborative and inclusive work environment.

Equal Opportunity

McKesson is an Equal Opportunity Employer. We provide equal employment opportunities to all applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status,

Apply About employer

More about this job

Responsibilities

Lead the end-to-end lifecycle of Generative AI and agentic AI solutions to solve complex healthcare challenges. Collaborate with cross-functional teams to architect scalable systems and mentor junior data scientists.

Requirements

Requires a Master's or Ph.D. in a quantitative field and 7-10+ years of experience in data science with a focus on production-level GenAI. Proficiency in Python, modern ML frameworks, and cloud platforms like Azure is essential.

Skills

Generative AI
Large Language Models
Python
PyTorch
TensorFlow
Hugging Face
RAG Architectures
MLOps
Azure
Prompt Engineering
Predictive Modeling
NLP
Statistical Modeling
Project Management
Stakeholder Influence
AI Agents

Benefits

Competitive Salary Packages
Health Insurance
Retirement Plans
Wellness Programs
Continuous Learning And Development
Training
Certifications
Career Advancement Programs
Work-life Balance Initiatives
Paid Time Off
Employee Assistance Programs

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
LLM
RAG
AI Agents
Python
PyTorch
TensorFlow
Hugging Face
Azure
AWS
GCP
MLOps
NLP
Predictive Modeling
Anomaly Detection
Recommendation Systems
Responsible AI
Healthcare Data
Prompt Engineering
Fine-tuning
Statistical Analysis
Feature Engineering
Model Governance
Data Privacy
Enterprise Architecture
Machine Learning
Data Science
Advanced Analytics
Cloud Computing
AI Automation

Report this job