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Added 2 months ago
Consultant senior - Modernisation des applications | Sr. Consultant - Application Modernization, AWS Professional Services
Amazon
Montreal, QC
…closely with customers to design, develop, implement and re-engineer applications to fully leverage the AWS Cloud, including GenAI-accelerated modernization techniques. You'll be a key…
Added 2 months ago
TG
Technical Architect, Google
TMX Group
Toronto, ON
- Full-time
Act as the principal designer and engineer for the Google Workspace tenant, ensuring organizational units (OUs), groups, and access controls are optimally structured for scale and security.
Added 2 months ago
ME
Analytics Engineer
MCDOUGALL ENERGY INC
Sault Ste. Marie, ON
- Full-time
McDougall Energy is seeking a detail-oriented and motivated Analytics Engineer to join our Business Analytics & Reporting team. Reporting to the Manager, Business Analytics and Reporting,…
Added 5 months ago
S
Full Stack Developer – Product Engineering
Showpass
Calgary, AB
- Full-time
…customer-facing product experiences, APIs, backend systems, data models, and the infrastructure that supports them. Our environment includes technologies such as React, TypeScript, and…
Added 3 months ago
T(
Staff Data Engineer
Tilt (f.k.a. Delphia)
Remote, Canada
- $210,000 to $270,000 USD / year
- Full-time
- Remote
We're looking for a Staff Data Engineer who thrives in ambiguity, enjoys building large-scale data platforms, and wants to define how AI-native investing is powered behind the scenes.
Added 2 months ago
PR
Senior/Principal LLM & Evals Engineer
Perennial Resources International
Toronto, ON
- $160,000 to $180,000 USD / 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
EG
AI - Full Stack Engineer
Emterra Group
Remote, Canada
- $110,000 to $120,000 CAD / year
- Full-time
- Remote
AI-102 (Azure AI Engineer Associate) or DP-100 (Azure Data Scientist) certification
Added 2 months ago
E
Staff Software Engineer, Product
Enurgen
Remote, Canada
- $175,000 to $195,000 CAD / year
- Full-time
- Remote
Take on the highest-leverage problem in the company at any given time, across our Go edge system, our ClickHouse-based data platform, or our TypeScript/React product. Often more than one at…
Added 2 months ago
E
Sr. Software Engineer, SCADA
Enurgen
Remote, Canada
- $155,000 to $180,000 CAD / year
- Full-time
- Remote
Help shape how we collect data on-site as latency requirements push us closer to the equipment. This is a direction we're actively exploring, not a fixed roadmap
Added 2 months ago
E
Sr. Software Engineer, Data Platform
Enurgen
Remote, Canada
- $155,000 to $180,000 CAD / year
- Full-time
- Remote
The work is heavy on data: massive analytical queries over fleet-scale time-series, real-time streaming pipelines feeding live analytics, and dashboards that have to stay fast and…
Added 2 months ago
O
Engineering Lead
OpusClip
Burnaby, BC
- $230,000 to $350,000 CAD / year
- Full-time
…spanning growth engineering, B2B/enterprise delivery, DevOps/SRE, data engineering, and our most production- and data-sensitive systems (authentication, billing-adjacent surfaces, PII).…
Added 2 months ago
AC
Full Stack Engineer Remote
Alexander Chapman
Canada
- Full-time
This Senior Full Stack Engineer will own product development end-to-end while helping define engineering standards in an AI-native development environment.
Added 2 months ago
CI
Industrial Engineer
CpK Interior Products Inc.
Guelph, ON
- $60,000 to $80,000 CAD / year
- Contract
CpK Interior Products Inc. is hiring an INDUSTRIAL ENGINEER (15 MONTH CONTRACT) to support our team in cross‑functional operational activities. This role is responsible for planning and…
Added 2 months ago
FB
Continuous Improvement Engineer
fgf brands
Toronto, ON · Greater Toronto Area, ON
- Other
As an AI-Enabled CI Engineer, you work in a genuine human-AI partnership. AI handles data collection, pattern recognition, and hypothesis generation at a scale no human team could match.…
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
Partner cross-functionally with electrical, controls, data, platform, autonomy, and GUI teams - providing the vehicle-side foundation (hardware, host device, and interface contracts) that…
Added 2 months ago
BT
Senior Analyst, Analytical and Quality Control
BlueRock Therapeutics
Toronto, ON
- Full-time
…platform, we direct cellular differentiation and genetically engineer cells to create transformative therapies for patients suffering from neurological and ophthalmological…
Added 2 months ago
BT
Analyst II, Analytical and Quality Control
BlueRock Therapeutics
Toronto, ON
- Full-time
…platform, we direct cellular differentiation and genetically engineer cells to create transformative therapies for patients suffering from neurological and ophthalmological…
Added 2 months ago
H
Full Stack Engineer
Hays
Toronto, ON
- Contract
3. Working knowledge of databases (relational preferred): SQL querying, joins, indexes basics, transactions, and data modeling fundamentals.
Added 2 months ago
PG
AI Engineer
Pinpoint Global Communications
Canada
- Full-time
Ensure SOC 2 compliance, data residency controls, and deterministic execution through policy-as-code agentic governance
Added 2 months ago
CE
In Service Project Engineer
Capgemini Engineering
Montreal, QC
- Full-time
Added 2 months ago
VH
Software Engineer, Technical Lead
Verily Health
Toronto, ON
- Full-time
Verily Health is a data platform and technology company purpose-built to power AI-enabled precision health solutions that accelerate research and improve care for individuals and…
Added 2 months ago
VH
Software Engineer, Technical Lead
Verily Health
Waterloo, ON
- Full-time
Verily Health is a data platform and technology company purpose-built to power AI-enabled precision health solutions that accelerate research and improve care for individuals and…
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
V
Systems Engineer
VueReal
Waterloo, ON
- Full-time
…micro semiconductor technologies. We are looking for a Systems Engineer to join our Engineering Team in Waterloo,…
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…

McKesson

Forward Deployed Engineering, US Oncology

Mississauga, ON, Canada

$122,100 - $162,800 · Full-time

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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!

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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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