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Added 8 mins ago
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Urban Ridge Supplies

Forward Deployed Engineering, US Oncology

Mississauga, ON, Canada

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: Sep 24, 2026

Apply About employer

Applications open in a new tab.

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.
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.

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,

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!

Benefits

Coverage you can rely on
- Medical, Dental, and Vision
- Health Spending Accounts
- Flexible Spending Accounts
Benefits that go beyond your base pay
- 401(k) (U.S.)
- Pension (Canada)
- Employee Stock Purchase Plan
Support for total well-being
- Mental Health Programs
- Flexible Schedules
- Paid Time Off
- Wellness Program
- Education Reimbursement
- Volunteer Opportunities
- Flexible Work Environment
A culture powered by belonging
By fostering a culture of belonging, we advance our goal of being the best place to work in healthcare - connecting the right talent to the right roles to solve our most critical challenges.

Job Id: W9nAQcrjyQV87knEnciSpHjlzVO1ppb1EQLKNO78lZ8obeLixNtYJ6xeNWzE/cHX2n4ZviFJv7UJMqz1T3ALKCokjf1WURia/OZoTdM9CTieMZb0yQ0cEjjW9Sq0dREWBqtlip6gODcPp5/rg58W3ZJYyi4bC/REU2oas3NzPbwjW5GZ

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More about this job

Responsibilities

Partner with business and clinical teams to discover and frame high-value problems, assess technical options, and build and validate AI-enabled prototypes with users. Define production requirements and readiness, coordinate handoffs to engineering and operational teams, and promote reusable patterns and practices across engagements.

Requirements

Requires a bachelor's degree or equivalent practical experience and typically 8+ years of relevant experience, including hands-on enterprise software engineering and full-stack work with React, Node.js, TypeScript, Python, Snowflake, and Databricks. Candidates should be able to translate ambiguous business needs into prototypes, design AI-enabled solutions, troubleshoot across application and infrastructure layers, and communicate effectively with business and technical stakeholders.

Skills

Full-Stack Engineering
React
Node.js
TypeScript
Python
Snowflake
Databricks
API Diagnostics
Cloud Infrastructure
AI Prototyping
Retrieval-Augmented Generation
Enterprise Integration
Data Pipelines
Responsible AI
Stakeholder Engagement
Root-Cause Analysis

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
Health Spending Accounts
Flexible Spending Accounts
401(k)
Employee Stock Purchase Plan
Mental Health Programs
Flexible Schedules
Paid Time Off
Wellness Program
Education Reimbursement
Volunteer Opportunities
Flexible Work Environment

Visa sponsorship

Not detected in the job text

Keywords

React
Node.js
TypeScript
Python
C#
Snowflake
Databricks
Azure AI Services
REST APIs
ServiceNow
Salesforce
Power BI
Retrieval-Augmented Generation
AI Agents
Semantic Search
Workflow Automation
Copilots
Decision Support
Data Pipelines
Data Lineage
Data Quality
MLOps
Cloud Infrastructure
Enterprise Integration
Responsible AI
Data Governance
Cybersecurity
Agile
Root-Cause Analysis
Oncology

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