Find work in Canada.

529,297 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 14 mins ago
Senior, Cloud Engineering
Scotiabank
Toronto, ON
Scotiabank has embarked on a journey to modernize both development practices and tools. One of the main areas of transformation is the public cloud and the various platform technologies…
Added 14 mins ago
Director, Network & Security AI and Automation
The Canada Life Assurance Company
Winnipeg, MB · London, ON · Toronto, ON
We are seeking a Director, Network & Security AI and Automation to establish and lead an engineering function within Network & Security Services with two complementary mandates: applying…
Added 29 mins ago
Director Infrastructure & Cybersecurity
FortisAlberta
Calgary, AB
Reporting to the Vice President, Customer and Information Services, the Director, IT Infrastructure and Cybersecurity provides enterprise leadership for the strategy, delivery, security,…
Added 44 mins ago
UO
Information Security Analyst
University of Alberta
Edmonton, AB
- Full-time
The Office of the Chief Information Security Officer (CISO), part of Information Services and Technology (IST), leads information security for the University of Alberta. The team develops…
Added 58 mins ago
W
Manager, Machine Learning Engineering - Agent Factory (
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
We are seeking a Manager to lead the development of AI agents for our HR and Finance business. You will be responsible for building and mentoring a high-performing engineering team, driving…
Added 1 hour ago
M
Senior Forward Deployed Specialist
McKesson
Mississauga, ON
- Full-time
You will lead the front end of the AI delivery lifecycle. You will understand workflows, frame problems, assess technical options, build and test prototypes, and validate value with users.…
Added 1 hour ago
Senior Network Analyst
NorQuest College
Edmonton, AB
As a Senior Network Analyst, you will design, implement, maintain, and continuously improve the College's network infrastructure while leading the development of integrated technical…
Added 1 hour ago
Staff FullStack Engineer, Secures AI
Okta
Toronto, ON
You will lead the technical implementation of our four-pillar maturity model - Discover, Onboard, Protect, and Govern - to provide enterprise-grade visibility and governance for both human…
Added 1 hour ago
CI
Student Intern, Aerospace and Defense, Material Pricing and Product Data
Celestica International LP
Toronto, ON
- $24 to $30 CAD / hour
With deep expertise in design, engineering, manufacturing, supply chain management and platform solutions, Celestica enables critical data center infrastructure for AI, cloud, and hybrid…
Added 1 hour ago
AP
Senior Administrator, Data Center (Contract Opportunity for 6 months)
Atlantic Packaging Products Ltd.
Toronto, ON · Scarborough, ON
- Full-time
We are looking for a Senior Data Center Administrator, who will be responsible for the administration, maintenance, and optimization of data center infrastructure across multiple sites in…
Added 1 hour ago
Sr. Software Dev Engineer, Managed Platform Engineering
Amazon
Vancouver, BC
…software builders rely on us for the tools they build with, and for the technology, training, and community behind…
Added 1 hour ago
C
Senior Solutions Engineer
ChapsVision
Montreal, QC
- Full-time
Bonne connaissance des pipelines CI/CD, de Git et des outils d’infrastructure infonuagique (cloud).
Added 1 hour ago
P
Intermediate and Senior Security Assessment & Authorization (SA&A) Specialist
PLATO
Remote, Canada
- $75 to $88 CAD / hour
- Contract
- Remote
We are seeking an intermediate-level Security Assessment & Authorization (SA&A) Specialist to provide subject matter expertise and support the completion of security accreditation…
Added 1 hour ago
H
Financial Reporting & Risk Manager
Halifax
Goffs, NS
- Full-time
Lead, coach and develop Accounting Services Specialists.
Added 1 hour ago
T
Sr. Business Systems Analyst Specialist, TD Securities
TD
Toronto, ON
- Full-time
We are looking for an experienced Senior Business Systems Analyst to lead the Volcker regulatory reporting workstream within Market Risk Technology. This is a senior, hands-on role for…
Added 2 hours ago
N
Full Stack. Net Developer
Nutrien
Saskatoon, SK
- Full-time
Experience supporting cloud-based solutions on AWS, with an understanding of cloud-native design, operational reliability, performance, scalability, and security best practices
Added 2 hours ago
C
Customer Success Manager, Public Sector & Defence
Cohere
Ottawa, ON
- $150,000 to $215,000 USD / year
- Full-time
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
Added 3 hours ago
LM
DIRECTOR OF INFORMATION TECHNOLOGY
Lacroix Médecine Privée
Quebec, QC
- Full-time
Ensure the performance, robustness, and high availability of the infrastructure and technology platforms essential to the network's medical and administrative activities, including ERP,…
Added 3 hours ago
IT
Director of Applications, Data & Integration
Ignite Technical Resources
Vancouver, BC
- Full-time
The Director, Applications & Data Engineering will lead enterprise application architecture, software engineering, data management, and integration capabilities. This role focuses on…
Added 3 hours ago
Product Security Lead
SMART Technologies
Calgary, AB
The Product Security Lead serves as SMART's subject matter expert for product cybersecurity and Secure Software Development Lifecycle (SSDLC) practices. Working across desktop and embedded…
Added 3 hours ago
Staff Software Engineer, Identity Threat Protection
Okta
Toronto, ON
Architect and Lead: Command the design, development, delivery, and supportability of cloud-native security products - leading the charge from initial concept to final, production-ready…
Added 3 hours ago
Head of Data Engineering
Ambyint
Calgary, AB
As the Head of Data Engineering at Ambyint, you will lead the vision, strategy, and execution of our enterprise data architecture and roadmap. You will manage and empower a high-performing…
Added 4 hours ago
IF
Security Analyst II – Azure AD
Intact FC
Vancouver, BC · Mississauga, ON · Montreal, QC · Saint-Hyacinthe, QC
- Full-time
Our pension offerings provide flexibility and long-term security for our employees beyond their careers. We are one of the few companies offering the opportunity to receive guaranteed…
Added 4 hours ago
Senior Manager Development, Treasury Technology
Scotiabank
Toronto, ON
Partner with Architecture, Cloud Engineering, Infrastructure, Security, and Operations teams to deliver highly available and secure platforms.
Added 4 hours ago
MI
Salesforce Technical Lead
Maarut Inc
Montreal, QC
- Contract
Mastery of Financial Services Cloud, Sales Cloud and Service Cloud

McKesson

Senior Forward Deployed Specialist

Mississauga, ON, Canada

$99,100 - $132,100 · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: $99,100 - $132,100
Job type: Full-time
Experience: 7+ years of experience building, integrating, troubleshooting, or delivering enterprise software solutions.
Posting language: English
Posted: Oct 29, 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

McKesson Provider Solutions is seeking a Forward Deployed Specialist to partner directly with business and operational teams to turn complex, high-value problems into validated AI-enabled solutions. This is a hands-on, business-embedded engineering role for someone who can work comfortably in ambiguity, connect business needs with technology, and rapidly move ideas from discovery to working prototypes.

You will lead the front end of the AI delivery lifecycle. You will understand workflows, frame problems, assess technical options, build and test prototypes, and validate value with users. Once a concept is validated, you will define a clear production path and work with AI Application Engineering, Data Engineering, MLOps, architecture, security, compliance, and operational teams to transition the solution for industrialization and scale.

This role requires strong software engineering judgment, broad technical fluency, and exceptional stakeholder engagement. The role provides technical coherence from problem through prototype, preserves the intended business outcome, and ensures downstream teams have the context needed to deliver a scalable, governed solution.

Key Responsibilities

Embed with practice and business teams to understand workflows, user needs, operational constraints, pain points, and desired outcomes.

Lead discovery workshops, workflow assessments, and problem-framing sessions with executives, physicians, clinical teams, revenue cycle leaders, operational teams, and subject matter experts.

Translate ambiguous business needs into clear problem statements, testable hypotheses, technical options, prototype scopes, and measurable success criteria.

Advise stakeholders where AI, automation, data, or workflow technology is appropriate and clearly communicate capabilities, limitations, risks, and tradeoffs.

Design pragmatic solution approaches using approved enterprise technologies, architecture patterns, and available data assets.

Build working prototypes, proofs of concept, and thin-slice solutions that test feasibility and enable meaningful feedback from representative users.

Apply sound software engineering practices so prototype code, interfaces, and design decisions can be understood, reused, or extended by delivery teams.

Use AI-enabled patterns such as retrieval-augmented generation, copilots, agents, semantic search, decision support, and workflow automation when appropriate to the problem.

Demonstrate prototypes, gather user and technical feedback, iterate rapidly, and recommend whether to stop, refine, or advance the work.

Identify application, data, integration, security, architecture, operational, and governance dependencies early in the engagement.

Collaborate with AI Application Engineers, Data Engineers, MLOps Engineers, architects, product leaders, security, compliance, and business SMEs to shape an executable delivery path.

Define solution requirements, dependencies, and acceptance criteria for production delivery.

Assess production readiness and document risks, decisions, and required controls.

Lead solution handoff to engineering teams and support successful implementation.

Drive reuse by capturing patterns, assets, and lessons learned across engagements.

Contribute to FDE playbooks, prototype standards, reusable asset libraries, and delivery practices that improve speed and consistency.

Mentor engineers in business discovery, problem framing, rapid prototyping, and technical stakeholder communication.

Minimum Requirement

Degree or equivalent experience and typically 7+ years of relevant experience in software engineering, solution engineering, solution architecture, technical consulting, enterprise application delivery, or digital transformation.

Education

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience.

Critical Skills

7+ years of experience building, integrating, troubleshooting, or delivering enterprise software solutions.
Strong hands-on full-stack engineering and troubleshooting experience across modern web applications, APIs, data, AI services, identity, security, and cloud infrastructure.

Hands-on experience with React, Node.js, TypeScript, Python, and modern web application architecture.

Proficiency in API diagnostics and browser-based troubleshooting, including network requests, authentication, application state, errors, and performance issues.

Hands-on experience with Snowflake and Databricks, including data pipelines, lineage, reconciliation, data quality, and performance tuning.

Experience using logs, metrics, traces, dashboards, and alerting to perform root-cause analysis and validate end-to-end solution behavior.

Demonstrated ability to diagnose issues across applications, integration, data, AI, security, and infrastructure layers and determine the appropriate path to resolution.

Demonstrated experience translating ambiguous business problems into working technical solutions, prototypes, or proofs of concept.

Experience designing or prototyping AI-enabled solutions such as copilots, agents, retrieval-augmented generation, semantic search, decision support, or workflow automation.

Experience using AI coding assistants, such as Claude or comparable tools, to accelerate development while reviewing, testing, securing, and refining generated code to meet McKesson engineering and quality standards.

Sound understanding of software delivery, enterprise integration, security, privacy, Responsible AI, data governance, operational readiness, and supportability.

Experience working directly with business leaders, subject matter experts, end users, and cross-functional engineering teams.

Ability to evaluate technical alternatives, explain tradeoffs, and recommend fit-for-purpose approaches without complete requirements.

Excellent written, verbal, facilitation, and presentation skills, with the ability to communicate complex technical concepts to technical and nontechnical audiences.

Ability to operate independently across complex or highly visible initiatives while keeping stakeholders aligned on outcomes, scope, risks, and ownership.

Preferred Skills

Healthcare industry experience supporting oncology, clinical operations, revenue cycle, patient access, care management, provider operations, or related domains.

Experience with Azure AI services, Databricks, Python, C#, TypeScript, REST APIs, ServiceNow, Salesforce, Power BI, or comparable enterprise technologies.

Experience applying retrieval-augmented generation, prompt and response evaluation, agentic workflows, semantic search, or AI guardrails.

Experience working in regulated environments and applying Responsible AI, cybersecurity, privacy, compliance, and data governance requirements.

Experience with Agile, product-led, innovation lab, consulting, or pod-based delivery models.

Ability to learn unfamiliar business domains and technology environments quickly.

Strong customer and business empathy, outcome orientation, engineering judgment, and ability to influence without direct authority.

Working Conditions:

In office requirement, we are Flex and Connect with 2 days a week in office

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!

Apply About employer

More about this job

Responsibilities

The Forward Deployed Specialist will partner with business teams to transform complex problems into validated AI-enabled solutions through rapid prototyping and discovery. They will lead the AI delivery lifecycle, ensuring technical coherence from initial problem framing through to production industrialization.

Requirements

Candidates must have 7+ years of experience in software engineering, solution architecture, or technical consulting with strong full-stack and AI development skills. A bachelor's degree in Computer Science, Engineering, or a related field is required.

Skills

Software engineering
Solution architecture
AI-enabled solutions
Rapid prototyping
React
Node.js
TypeScript
Python
Snowflake
Databricks
API diagnostics
Retrieval-augmented generation
Workflow automation
Stakeholder engagement
Cloud infrastructure
Data governance

Benefits

Annual bonus
Long-term incentive opportunities

Visa sponsorship

Not detected in the job text

Keywords

Software Engineering
Solution Architecture
Artificial Intelligence
Machine Learning
Prototyping
React
Node.js
TypeScript
Python
Snowflake
Databricks
Cloud Infrastructure
API
Retrieval-Augmented Generation
Workflow Automation
Data Governance
Cybersecurity
Responsible AI
Agile
Healthcare
Oncology
Clinical Operations
Revenue Cycle
Azure AI
ServiceNow
Salesforce
Power BI
Full-stack Engineering
Technical Consulting
Digital Transformation

Report this job