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Added 12 days ago
Technology Operations Analyst - Cybersecurity Managed Services, New Brunswick
EY
Dieppe, NB
Minimum 1-2 years of experience in cybersecurity operations, with significant time spent in incident response and security monitoring roles.
Added 12 days ago
Technology Operations Analyst - Cybersecurity Managed Services, New Brunswick
EY
Dieppe, NB
Minimum 1-2 years of experience in cybersecurity operations, with significant time spent in incident response and security monitoring roles.
Added 26 days ago
AI/ML Engineer - Agentic AI Systems
Kaseya
Toronto, ON
$160,000 to $240,000 CAD / year
Full-time
Kaseya is the leading provider of AI-powered IT management and cybersecurity software, serving Managed Service Providers (MSPs) and internal IT organizations worldwide. Our comprehensive…
Added 18 days ago
Security Operations Analyst, Managed Security Services
CDW
Mississauga, ON
Full-time
We are seeking a Firewall Engineer with 1 to 3 years of experience in firewall administration, including Palo Alto and Check Point technologies, as well as familiarity with AWS, Azure, and…
Added 25 days ago
AI/ML Engineer - Agentic AI Systems
Kaseya Careers
Toronto, ON
$160,000 to $240,000 CAD / year
Kaseya is the leading provider of AI-powered IT management and cybersecurity software, serving Managed Service Providers (MSPs) and internal IT organizations worldwide. Our comprehensive…
Added 2 months ago
Regulatory Operations Test Engineer
LTM
Ontario · Ontario, Canada
$100,000 to $110,000 USD / year
Full-time
Added 10 days ago
Forward Deployed Engineer
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 10 days ago
Security Operations Analyst (Tier 1/2)
EY
Edmonton, AB · Vancouver, BC · AB · Calgary, AB
Minimum 1-2 years of experience in cybersecurity operations, with significant time spent in incident response and security monitoring roles.
Added 15 days ago
Senior Developer - Uipath
Scotiabank
Toronto, ON
…with experience applying AI technologies in enterprise and IT operations environments will be given strong preference. This includes practical exposure to AI usage within platforms such as…
Added 10 days ago
Senior Analyst, IT Network & Cloud Connectivity
Vale
Canada
Full-time
…connectivity services. You will collaborate with stakeholders across Cybersecurity, Infrastructure, Cloud Operations, Operational Technology (OT), Service Management, Project teams,…
Added 5 months ago
Security Incident Response Commander
Match Group
Vancouver, BC
Full-time
…interactions daily, our scale demands world-class security…
Added 1 hour ago
Cybersecurity Engineer, Entry Level (Canada)
Jobright.ai
Canada
Full-time
…route to the best job outcomes. They are seeking an entry-level Cybersecurity Engineer to monitor security incidents, perform vulnerability assessments, and collaborate with engineering…
Added 16 hours ago
Senior Cryptographic Protocol Engineer
SuperQubit Inc.
Markham, ON
Full-time
Job Title: Senior Cryptographic Protocol Engineer
Added 18 hours ago
Cybersecurity Engineer, Entry Level (Canada)
Jobright.ai
Canada
Full-time
…route to the best job outcomes. They are seeking an entry-level Cybersecurity Engineer to monitor security incidents, perform vulnerability assessments, and collaborate with engineering…
Added 1 day ago
Solution Architect, Google Workspace & Gemini AI
Tundra Technical Solutions
Toronto, ON
$130,000 to $145,000 CAD / year
Full-time
…roadmap, establish robust security postures, and empower our IT Operations and L2/L3 Admin teams to safely adopt cutting-edge features. In this role, you will be instrumental in driving…
Added 4 days ago
Senior Corporate Security Analyst
Clio
Calgary, AB · Burnaby, BC · Vancouver, BC · Toronto, ON
Full-time
This role is established for the purpose of driving the cybersecurity definitions and posture across our fleet and systems - leading investigations, owning incident response end-to-end, and…
Added 6 days ago
Data Platform Engineering Manager
TD
Toronto, ON
Full-time
Collaborate with Infrastructure, Cybersecurity, Cloud, Engineering, and Enterprise Architecture teams.
Added 2 days ago
DevOps, Kubernetes, and Site Reliability Engineer
Randstad Enterprise
Montreal, QC
Full-time
We are looking for an experienced DevOps, Kubernetes, and Site Reliability Engineer with a minimum of five years of relevant industry experience. Experience within financial services or…
Added 2 days ago
Microsoft Consultant
eSentire
Canada
…or platform behavior, partnering closely with the Security Operations Center (SOC) and Customer Success…
Added 2 days ago
AI Engineer
NetBrain
Toronto, ON
…automation. Its ground-breaking Next-Gen platform provides IT operations teams with the ability to scale their hybrid multi-cloud connected networks by automating the processes associated…
Added 2 days ago
AKS & ARO DevOps Engineer
Capgemini
Mississauga, ON
$75 to $95 CAD / hour
Ability to work collaboratively with Architecture, Cybersecurity, IAM, Network, Operations, Finance, and application teams.
Added 2 days ago
Sr Security Platform Engineer
Sun Life
Toronto, ON · Sun Life Toronto One York
Full-time
The Senior Security Platform Engineer is responsible for designing, implementing, supporting, and continuously enhancing Sun Life’s enterprise cryptographic security platforms, including…
Added 2 days ago
PCI Sales Engineer
Yokogawa
NB · Chiasson Office, NB
Full-time
…transition, (bio)technology, artificial intelligence, industrial cybersecurity, etc. We are committed to the United Nations sustainable development goals by utilizing our ability to measure…
Added 2 days ago
Proposal Engineer
Yokogawa
NB · Chiasson Office, NB
Full-time
…transition, (bio)technology, artificial intelligence, industrial cybersecurity, etc. We are committed to the United Nations sustainable development goals by utilizing our ability to measure…
Added 2 days ago
Proposal Engineer
Yokogawa
NB · Chiasson Office, NB
Full-time
…transition, (bio)technology, artificial intelligence, industrial cybersecurity, etc. We are committed to the United Nations sustainable development goals by utilizing our ability to measure…

McKesson

Forward Deployed Engineer

Mississauga, ON, Canada

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

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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.

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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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