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Added 5 months ago
TS
Data Engineer
T-Rex Solutions
Remote, Canada
- $50,000 to $94,000 USD / year
- Full-time
- Remote
Experience with the following: Python, SQL, ETL/ELT development, Test automation for data pipelines, Data quality automation, API integration, Airflow or workflow orchestration, AWS/Azure…
Added 5 months ago
F
Machine Learning Engineer
FactualIQ
Remote, Canada
- $160,000 to $190,000 CAD / year
- Full-time
- Remote
Expert-level Python programming with deep knowledge of ML frameworks (PyTorch, TensorFlow, or similar).
Added 2 months ago
FS
DSP Designer
Fidus Systems
Remote, Canada
- Full-time
- Remote
Fidus is a global high-tech design firm headquartered in Ottawa, with additional design centres in Kitchener-Waterloo and San Jose. We specialize in leading-edge electronic product…
Added 2 months ago
FS
DSP Designer
Fidus Systems
Remote, Canada
- Full-time
- Remote
Fidus is a global high-tech design firm headquartered in Ottawa, with additional design centres in Kitchener-Waterloo and San Jose. We specialize in leading-edge electronic product…
Added 2 months ago
MT
Principal RTL Design Engineer
Microchip Technology Inc.
Burnaby, British Columbia · Canada - Burnaby
- Full-time
Experience or Knowledge in C/C++ and scripting/automation (Python, Perl, TCL, Shell)
Added 1 month ago
(2027 Bachelor's/Master's graduates) Cyber & Forensic Technology Consulting Analyst/Associate
Charles River Associates
Toronto, ON
Experience with utilizing automation tools and scripts to expedite analyses;
Added 1 month ago
B
Senior Cloud Engineer - Google Cloud Platform (GCP)
BDO
Toronto, ON
- Full-time
3+ years of experience with Infrastructure Automation and Infrastructure as Code (GCP)
Added 2 months ago
OF
QA Automation Engineer
OTT Financial Group
Toronto, Ontario
- Full-time
We are looking for a QA Automation Engineer to join our engineering team and help ensure the quality, reliability, and stability of our software products. The role includes both manual and…
Added 28 days ago
AC
Process Engineer
ALTEN Canada
Toronto, ON
- Full-time
ALTEN is a global leader in Research & Development, Engineering, IT Services, Life Sciences, and Network Services. With a presence in more than 30 countries and a team of over 60,000…
Added 28 days ago
M
Applied AI Engineer
MANNARINO
Montreal, QC
- Full-time
Strong proficiency in Python and experience developing maintainable applications, services or automation tools
Added 28 days ago
M
Forward Deployed Engineer
McKesson
Mississauga, ON
- Full-time
Hands-on experience with React, Node.js, TypeScript, Python, and modern web application architecture.
Added 28 days ago
CA
AI Tech Lead
Crédit Agricole
Montreal, QC
- Full-time
You will work in agile mode, in close collaboration with Products & Innovation, as well as with business and IT teams from other CACEIS divisions. As Tech Lead, you will develop solutions…
Added 28 days ago
T
DevOps Engineer
TechBlocks
Vaughan, ON
- Contract
The ideal candidate will deeply understand cloud infrastructure and have experience with automation and deployment tools. You will work closely with the development and operations teams to…
Added 29 days ago
EB
Intern - Credit Risk, Winter 2027
EQ Bank
Toronto, ON
- Internship
Proficiency with Microsoft Outlook and experience utilizing AI for organization and automation
Added 28 days ago
A
Data Scientist / Analytics Engineer (12-month maternity leave contract)
Audiobooks.com
Burlington, ON
- Contract
Strong Python skills for data processing, automation, and ETL.
Added 28 days ago
RB
Full Stack Developer, AI
Royal Bank of Canada
Toronto, ON
- Full-time
Build and support data engineering pipelines integrating cloud platforms (Snowflake, OpenShift, AWS) with automation, databases, and workflow orchestration tools (Airflow, Ansible, Stone…
Added 28 days ago
A
Analyste BI senior
AtkinsRéalis
Montreal, QC
- Full-time
Python for data preparation, automation or analytics.
Added 28 days ago
SG
Tech Ops Engineer
Scientific Games
HR Canada
- Full-time
Automatisez les tâches opérationnelles à l'aide de Bash, Python, PowerShell, Ansible, Terraform, SQL, CloudFormation ou d'outils équivalents afin de réduire les tâches manuelles,…
Added 5 months ago
QT
Senior Applied AI Engineer - Product & Revenue Systems
QEA Tech
Markham, Ontario
- Full-time
Marketing / Growth: Develop AI-driven targeting, outbound, and campaign automation systems that generate qualified pipeline.
Added 5 months ago
C
Senior Software Developer
CPKC
Calgary, Alberta
- Full-time
This role is ideal for an experienced developer who thrives in complex, highly integrated environments and is passionate about building scalable, reliable solutions. The successful…
Added 5 months ago
Z
Senior Backend Engineer (.NET & AI/ML)
Zonda
Toronto, Ontario
- $110,000 to $130,000 CAD / year
- Full-time
We are hiring a Senior Backend Engineer with strong .NET and AI/ML expertise to design and build scalable, high-performance backend systems and AI-powered features for NewHomeSource.com and…
Added 5 months ago
Z
Senior Backend Engineer (.NET & AI/ML)
Zonda
Montreal, Quebec · Greater Montreal Metropolitan Area
- $110,000 to $130,000 CAD / year
- Full-time
We are hiring a Senior Backend Engineer with strong .NET and AI/ML expertise to design and build scalable, high-performance backend systems and AI-powered features for NewHomeSource.com and…
Added 5 months ago
Z
Senior Backend Engineer (.NET & AI/ML)
Zonda
Vancouver, British Columbia
- $110,000 to $130,000 CAD / year
- Full-time
We are hiring a Senior Backend Engineer with strong .NET and AI/ML expertise to design and build scalable, high-performance backend systems and AI-powered features for NewHomeSource.com and…
Added 5 months ago
C
Optimum Adobe Engineer (contract)
Capgemini
Toronto, Ontario
- Contract
The Analytics Lead / Adobe V8 Migration Specialist is an experienced professional with deep expertise in Adobe Campaign Classic, V7-to-V8 migrations, and data-driven campaign execution. The…
Added 5 months ago
KC
Senior Manager GRC
KPMG Canada
Toronto, Ontario
- Full-time
…develop skills for the future, and take ownership of your career with support at every stage. Join a firm where your career can make a…

McKesson

Forward Deployed Engineer

Mississauga, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Oct 10, 2026
Experience: 8+ years of experience building, integrating, troubleshooting, or delivering enterprise software solutions.
Posting language: English
Posted: Sep 10, 2026

Original job description

Job Description

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.

Apply About employer

More about this job

Responsibilities

The Forward Deployed Engineer embeds with business teams to translate complex problems into validated AI-enabled prototypes and solutions. They lead the discovery process, design technical approaches, and collaborate with cross-functional teams to ensure successful industrialization and scaling of AI products.

Requirements

Candidates must have 8+ years of experience in software engineering, solution architecture, or technical consulting with strong full-stack and data platform expertise. A bachelor's degree in Computer Science, Engineering, or a related field is required, along with the ability to communicate complex technical concepts to diverse stakeholders.

Skills

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

Visa sponsorship

Not detected in the job text

Keywords

Forward Deployed Engineer
AI
Software Engineering
React
Node.js
TypeScript
Python
Snowflake
Databricks
Retrieval-augmented generation
Copilots
Agents
Semantic search
Workflow automation
Azure AI
REST APIs
ServiceNow
Salesforce
Power BI
Agile
Data pipelines
Cloud infrastructure
Cybersecurity
Data governance
Responsible AI
Oncology
Clinical operations
Revenue cycle
Full-stack
Prototyping

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