Find work in Canada.

483,934 jobs across our Canadian network. How we count

Jobs in Canada

Email me new jobs Save this search

Added 1 month ago
PG
AI Engineer
Pinpoint Global Communications
Canada
- Full-time
…certified, and audit-ready. We're part of the Valsoft Edelweiss Software Group - a large-scale portfolio of vertical market B2B SaaS companies - and we operate with a startup mindset: high…
Added 1 month ago
V
Full Stack Engineer
Vantage
Remote, Canada
- $115,000 to $145,000 CAD / year
- Full-time
- Remote
Vantage is looking for its next Full Stack Engineer to join our Product Development Team. As a Full Stack Engineer, you’ll work across the stack to build and maintain performant, scalable…
Added 1 month ago
V
Systems Engineer
VueReal
Waterloo, ON
- Full-time
In this role you own system level integration, bringing mechanical, electrical, optical, embedded, and application software together into working products. You will lead bring up of new…
Added 2 months ago
Software Test Manager II
EnerSys Delaware Inc.
Burnaby, BC
Ability to debug across hardware, embedded software, networks, and distributed systems
Added 1 month ago
Senior Software Engineer (Oracle Fusion)
EBizCharge
Canada
…payment gateways, banks, financial institutions, and third-party systems using Oracle Integration Cloud (OIC), REST/SOAP APIs, FBDI, ADFDI, and other Oracle integration…
Added 1 month ago
M
Forward Deployed Engineering, US Oncology
McKesson
Mississauga, ON
- Full-time
The US Oncology Network is seeking a Lead Forward Deployed Engineer (FDE) to partner directly with business and operational teams to turn complex, high-value problems into validated…
Added 1 month ago
C
Senior Software Engineer, AI
Calabrio
Canada
- Full-time
Calabrio-Verint is looking for a highly skilled and experienced Senior Software Engineer, AI to perform a key role in our digital transformation program, and deliver exceptional customer…
Added 2 months ago
S
Quality Assurance Automation Engineer
Synechron
Calgary, AB
- $85,000 to $90,000 CAD / year
- Full-time
We are seeking a highly skilled and adaptable Senior QA Automation Engineer (SDET) to join our dynamic, global QA team. The ideal candidate thrives in fast-paced, ever-evolving environments…
Added 6 months ago
M
Satellite Flight Software (FSW) Systems Engineer
MDA
Sainte-Anne-de-Bellevue, QC
- Full-time
MDA is seeking a Satellite Flight Software System Engineer to support and/or lead the definition of a variety of embedded flight software applications from the architecture, the system…
Added 1 month ago
C
Software Development Co-op
commonsku
Remote, Canada
- $3,500 to $4,800 CAD / month
- Full-time
- Remote
🌟 Ready to kick off your career and build software that powers a $26B industry?
Added 1 month ago
V
Technical Support Engineer
VGS
Canada
- Full-time
The majority of this role is hands-on technical work: debugging, troubleshooting network and integration issues, onboarding new customers, and resolving tickets.
Added 1 month ago
Software Dev Engineer, S3 Request Plane
Amazon
Vancouver, BC
As a Software Development Engineer in the S3 Distribution Plane team, you will deliver services at scale to delight our customers and support the routing of billions of requests per minute…
Added 2 months ago
OT
Analyste en Développement et Intégration de Modèles Électriques / Electrical Model Development and Integration Analyst
OPAL-RT TECHNOLOGIES India Pvt. Ltd.
Montreal, QC
- Other
OPAL-RT Technologies recherche un Analyste en développement et intégration de modèles électriques
Added 2 months ago
PH
Engineering Manager (Software)
Parker Hannifin
Mirabel, QC
- Full-time
Oversee software architecture, design, development, integration, verification, validation, deployment readiness, and lifecycle support for assigned products, platforms, applications, or…
Added 2 months ago
PH
Engineering Mgr (Hardware)
Parker Hannifin
Mirabel, QC
- Full-time
The Engineering Manager of Hardware and Embedded Systems is responsible for leading the hardware engineering function focused on electrical and electronic hardware design, embedded systems…
Added 2 months ago
A
Full Stack Engineer
AltConvey
Montreal, QC
- Full-time
Develop and optimize robust front-end and back-end systems using React, Vite, Java, Spring Boot, and MongoDB, ensuring scalability and performance.
Added 2 months ago
TA
Forward Deployed Engineer (Generative AI)
Tiger Analytics
Canada
- Full-time
The Forward Deployed Engineer (FDE) drives the on-site deployment, integration, and scaling of our enterprise Generative AI solutions. This role embeds directly within customer engineering…
Added 2 months ago
K
Cryogenic Engineer
Kinectrics
Toronto, ON
- Full-time
Design, develop, analyze, test, commission, and optimize cryogenic systems and equipment, including liquefiers, refrigerators, cryogenic distillation columns, storage vessels, transfer…
Added 2 months ago
E
Founding AI Engineer
Eklan
Toronto, ON
- $75,000 to $113,000 USD / year
- Full-time
This is not a narrow model-integration role. You will influence our architecture, product, AI systems, engineering culture and technical strategy. You will move between understanding…
Added 1 month ago
Mechanical Design Engineer- Plasma Diagnostics
Type One Energy
Vancouver, BC
Type One Energy are seeking an experienced Mechanical Design Engineer with first of a kind design and integration skills, to translate design requirements into functional plasma diagnostics…
Added 2 months ago
F
Product Engineer - Marketplace
Firecrawl
Toronto, Ontario
- Full-time
Experience: 5+ years. You've owned production data or integration systems end to end
Added 1 month ago
DD
Autonomous Collaborative Platform (ACP) - General Interest
Dominion Dynamics
Remote, Canada
- Full-time
- Remote
You might be an aerospace engineer who's spent a career at a Bombardier or a Pratt & Whitney, an avionics or electrical engineer who thinks in wiring diagrams and power budgets, a…
Added 2 months ago
SJ
Software Engineer, Applied AI
St. Joseph Communications
Toronto, ON
- $110,000 to $130,000 CAD / year
SJC Media is building the AI layer for its Digital Operations. As the founding Software Engineer, Applied AI, you own that layer end-to-end: from agentic workflows, CRM integrations,…
Added 2 months ago
SA
Automation Project Engineer / Ingénieur(e) de projets en automatisation
Systemex Automation
Laval, QC
- Full-time
Join Systemex Automation as Automation Project Engineer, and help lead the growth of a technical team specialized in industrial automation, robotics, and control systems programming. You…
Added 2 months ago
K
AI/ML Engineer - Agentic AI Systems
Kaseya
Toronto, ON
- $160,000 to $240,000 CAD / year
- Full-time
…orchestration, behavioral anomaly detection, and production software engineering. You’ll build AI systems that interpret operational signals, coordinate actions across vendor platforms, and…

McKesson

Forward Deployed Engineering, US Oncology

Mississauga, ON, Canada

$122,100 - $162,800 · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: $122,100 - $162,800
Job type: Full-time
Experience: 8+ years of experience building, integrating, troubleshooting, or delivering enterprise software solutions.
Posting language: English
Posted: Aug 31, 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.

Current Need

The US Oncology Network is seeking a Lead Forward Deployed Engineer (FDE) 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.

The FDE leads 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 FDE 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 8+ 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

8+ 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.

Additional 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

Flex & Connect work model with a requirement to be in the office two (2) days per week.

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

$122,100 - $162,800

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 Lead Forward Deployed Engineer will partner with business and operational teams to translate complex problems into validated AI-enabled solutions. This role involves leading discovery workshops, building prototypes, and defining clear production paths for industrialization and scale.

Requirements

Candidates must have 8+ years of experience in software engineering, solution architecture, or technical consulting with a strong background in enterprise software delivery. A bachelor's degree in Computer Science, Engineering, or a related field is required, along with proficiency in modern AI application patterns and cloud technologies.

Skills

Software engineering
Artificial intelligence
Prototyping
Stakeholder engagement
Data engineering
MLOps
Cloud-based application patterns
Retrieval-augmented generation
Workflow automation
Problem framing
Technical consulting
Enterprise integration
Python
C#
TypeScript
Azure AI

Benefits

Annual bonus
Long-term incentive opportunities

Visa sponsorship

Not detected in the job text

Keywords

Software Engineering
Artificial Intelligence
Oncology
Prototyping
Azure AI
Databricks
Python
C#
TypeScript
REST APIs
ServiceNow
Salesforce
Power BI
Retrieval-augmented generation
Agentic workflows
Semantic search
MLOps
Data Governance
Cybersecurity
Agile
Cloud Computing
Enterprise Architecture
Clinical Operations
Revenue Cycle
Digital Transformation
Responsible AI
Workflow Automation
Decision Support
Copilots
Technical Consulting

Report this job