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Added 2 months ago
A
Senior Full Stack Engineer (Application + Data)
Article
Vancouver, BC
- $165,000 to $175,000 CAD / year
- Full-time
We are a hybrid team - you'll be in the office 3 days per week
Added 2 months ago
KD
AI/ML Engineer
Katalyst Data Management
Calgary, AB
- Full-time
…data management solutions for the energy industry. For over 30 years, we have helped oil and gas companies, national governments, and energy organizations maximize the value of their data…
Added 2 months ago
Senior AI/ML Engineer
Katalyst Data Management
Calgary, AB
…data management solutions for the energy industry. For over 30 years, we have helped oil and gas companies, national governments, and energy organizations maximize the value of their data…
Added 2 months ago
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Senior Software Engineer
Microsoft
Vancouver, BC
- Full-time
Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java,…
Added 2 months ago
EG
Senior Water Resources Engineer
Egis Group
Edmonton, AB
- $105,000 to $130,000 CAD / year
- Full-time
The Senior Water Resources Engineer position is based in Edmonton, Alberta, Canada and is responsible for the planning, analysis, and delivery of water resources engineering and hydraulic…
Added 2 months ago
EG
Senior Water Resources Engineer
Egis Group
Calgary, AB · Edmonton, Alberta
- $105,000 to $130,000 CAD / year
- Full-time
The Senior Water Resources Engineer position is based in Calgary, Alberta, Canada and is responsible for the planning, analysis, and delivery of water resources engineering and hydraulic…
Added 2 months ago
EG
Senior Water Resources Engineer
Egis Group
Vancouver, BC · Edmonton, Alberta
- $105,000 to $130,000 CAD / year
- Full-time
The Senior Water Resources Engineer position is based in Vancouver, BC, Canada and is responsible for the planning, analysis, and delivery of water resources engineering and hydraulic…
Added 2 months ago
QA Engineer III
Zafin
Toronto, ON
The QA Engineer III will be responsible for leading and executing functional quality assurance activities for complex banking and financial applications. The role requires strong hands-on…
Added 2 months ago
TA
Manager, Analytics Consulting (Retail/CPG)
Tiger Analytics Inc.
Remote, Canada
- Full-time
- Remote
Working familiarity with analytical tools such as Excel, SQL, BI/visualization tools and/or Python.
Added 2 months ago
Q
Firmware Engineer – SerDes PHY (all levels)
Qualcomm
Toronto, ON
- Full-time
3+ years of work experience with Programming Language such as C, C++, Java, Python, etc.
Added 2 months ago
Senior Software Engineer, Storage Infrastructure
Planet
Canada
If located near an office, you are expected to work from that office 3 days per week
Added 2 months ago
Production Support - SRE
Capgemini
Toronto, ON
Capgemini is looking for a Production support Engineer to work for the Commercial Line of Business. An ideal candidate should be the one that has experience as outlined below:-
Added 2 months ago
A
Associate Software Engineer (Winter 2027)
AltaML
Calgary, AB · Edmonton, AB · Toronto, ON
- Internship
As an Associate Software Engineer you’ll play a hands-on role in building and scaling our agentic platform - an intelligent, adaptive system designed to automate workflows and power smarter…
Added 2 months ago
Agentic AI Engineer/Architect - FTA
SIA Innovations INC
Montreal, QC
SIA is structured like a top-tier professional services firm. We recruit entry-level talent with a single long-term objective: to develop your potential into a working equity partner,…
Added 2 months ago
Senior Data Engineer - Vancouver
Capgemini
Vancouver, BC
…Fabric, including Azure Data Factory, PySpark, Spark SQL, and Python. Develop and maintain ETL/ELT processes to ingest, transform, and load data from multiple sources into data warehouses,…
Added 2 months ago
FF
Senior Application Security Engineer
Forward Financing
Remote, Canada
- $145,000 to $183,000 CAD / year
- Full-time
- Remote
As a Senior Application Security Engineer, you'll find the vulnerabilities in Forward Financing's software before an attacker does. You'll pentest our core systems along with the AI systems…
Added 2 months ago
GM
Staff Engineer, Site Reliability Engineering
General Motors
Markham, ON
- Full-time
Participate in a weekly on-call rotation with 12-hour shifts; the rotation cycles every eight weeks
Added 2 months ago
BS
Platform Engineer
Bay Street Staffing
Toronto, ON · Greater Toronto Area, Canada
- Contract
We are looking for a Senior Platform Engineer to join a leading Bank’s Technology Infrastructure / Cloud Platform Engineering team. This is an exciting opportunity to design, build, and…
Added 2 months ago
Q
System Engineer, Application Engineering Principal
Qualcomm
Ottawa, ON · Toronto, ON
- Full-time
…a smarter, connected future for all. As a Qualcomm Systems Engineer, you will research, design, develop, simulate, and/or validate systems-level software, hardware, architecture,…
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
Consultant senior - Modernisation des applications | Sr. Consultant - Application Modernization, AWS Professional Services
Amazon
Montreal, QC
…Amazon Web Services (AWS). In this role, you'll work closely with customers to design, develop, implement and re-engineer applications to fully leverage the AWS Cloud, including…
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 2 months ago
V
Technical Support Engineer
VGS
Canada
- Full-time
5+ years in Technical Support, Solutions Engineering, Technical Account Management, or Technical Project Management - with at least some of it in a senior or lead capacity.
Added 2 months ago
C
Senior Design Verification Engineer
Cognichip
Toronto, ON
- $150,000 to $180,000 CAD / year
- Full-time
We operate on a hybrid schedule with four days in office, one day remote
Added 2 months ago
Transformation Engineer - Software Development, AI & Quality Engineering
Fitch Group
Toronto, ON
Fitch Group is seeking a hands-on Transformation Engineer with strong expertise in software development, AI-enabled engineering, and modern quality practices. This role will focus on…

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

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Work requirements

Jobs in Canada