Jobs in Canada

Group jobs by employerEmail me new jobs Save this search

Added 2 months ago
E
Physical AI Engineer
EY
Toronto, ON
- Full-time
…machine learning, computer vision, multimodal AI, agentic AI, and software engineering. The successful candidate will work directly with humanoid robots, quadrupeds, sensors, cameras, edge…
Added 2 months ago
P
SOC Automation Engineer
Paymentus
Richmond Hill, ON
- Full-time
We're hiring a SOC Automation Engineer! Are you a developer with a SecOps mindset? We are looking for an automation expert to build complex SOAR playbooks, integrate AI into our workflows,…
Added 2 months ago
TA
Data Architect (Knowledge Graph & Data Governance)
Tiger Analytics
Toronto, ON
- Full-time
Technical Integration: Integrate knowledge graphs into broader enterprise data fabrics, data meshes, and AI systems (e.g., Graph-RAG, LLM context engines)
Added 2 months ago
QL
System Engineer
Qidni Labs
Kitchener, ON
- Full-time
The System Engineer will work on-site in Kitchener, ON in a full-time capacity, supporting the development, integration, and maintenance of Qidni Labs’ dialysis systems and related…
Added 2 months ago
M
mechanical designer of space products
MDA
Sainte-Anne-de-Bellevue, QC
- Full-time
…project teams, and under the supervision of an experienced engineer, you will be responsible for developing concepts for our custom space products for international clients. From the…
Added 2 months ago
AM
Systems Validation Engineer – Data Center GPU
Advanced Micro Devices, Inc
Markham, ON
- Full-time
As a Systems Validation Engineer within the Datacenter and GPU Accelerated Processing division, you will drive SOC and system/rack level validation, triage and debug for the AMD Data Center…
Added 2 months ago
Lead Machine Learning Engineer - AI Innovation Teams
Fitch Group
Toronto, ON
Fitch Ratings is seeking a Lead Machine Learning Engineer to join our new AI Innovation teams in Toronto - a bold initiative building the AI-powered future of financial analysis. We're not…
Added 4 months ago
T
Automation Controls Engineer
Tesla
Markham, ON
- Full-time
The Controls Engineer will work to design and develop automation and process concepts along with several cross functional teams. The candidate will create a robust software architecture to…
Added 2 months ago
Q
Hardware Design Engineer – Application Engineering, Staff
Qualcomm
Ottawa, ON
- Full-time
…a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems,…
Added 2 months ago
Q
DSP Application Engineer, Staff
Qualcomm
Ottawa, ON
- Full-time
…a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems,…
Added 2 months ago
I
Sr. Staff Developer, Architecture
iQmetrix
Regina, SK
- Full-time
We are hiring a Principal Engineer, Architecture. This is a senior individual contributor role for someone who is still happiest with their hands on the keyboard, and who thinks in systems…
Added 2 months ago
Site Reliability Engineer
PayByPhone
Vancouver, BC
3+ years of experience in software development, delivery, or site reliability / operations for large, complex software systems spanning both legacy and modern stacks. Equivalent experience…
Added 2 months ago
TG
Technical Architect, Google
TMX Group
Toronto, ON
- Full-time
Job Location: Hybrid (2–3 days in office) – based in Toronto, ON · Must Have(s)
Added 2 months ago
PR
Senior/Principal LLM & Evals Engineer
Perennial Resources International
Toronto, ON
- $160,000 to $180,000 CAD / year
- Full-time
We are seeking an experienced GenAI engineer with deep expertise in LLM evaluation, production-grade AI systems, and financial services. The successful candidate will design and improve…
Added 2 months ago
E
Sr. Software Engineer, Data Platform
Enurgen
Remote, Canada
- $155,000 to $180,000 CAD / year
- Full-time
- Remote
5+ years (Senior) building production software, ideally data-intensive systems
Added 2 months ago
V
Quality Engineer / Ingénieur(e) qualité
Vention
Montreal, QC
- Full-time
We're looking for an Electrical Engineer early in their career who wants to own the electrical, mechanical, safety, and firmware quality of Vention's most complex, high-value products -…
Added 2 months ago
ME
Team Lead - Vehicle Interface, Telematics
MACLEAN ENGINEERING & MARKETING CO. LIMITED
Barrie, ON · Collingwood, ON · North Bay, ON · Owen Sound, ON · Sudbury, ON
- $105,000 to $130,000 CAD / year
- Full-time
Oversee and directly contribute to the proper installation of Telematics hardware on MacLean vehicles, ensuring correct integration with vehicle systems.
Added 2 months ago
C
Administrateur(trice) cloud/DevOps
CGI
Montreal, QC
- Full-time
…focus on automation, infrastructure as code, CI/CD pipeline integration, monitoring, and system reliability, you will work with client and internal teams to build and support efficient…
Added 2 months ago
C
Senior Java Developer
CGI
Toronto, ON
- Full-time
…build High Value Payments with us! We are looking for a Senior Software Engineer to work on a broad range of…
Added 2 months 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 2 months 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 2 months 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 2 months 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 3 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…

McKesson

Forward Deployed Engineering, US Oncology

Mississauga, ON, Canada

$122,100 - $162,800 · Full-time

Apply on mckesson.wd3.myworkdayjobs.com 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 on mckesson.wd3.myworkdayjobs.com 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

Work requirements

Jobs in Canada