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Added 1 month ago
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Forward Deployed Engineering, US Oncology
Urban Ridge Supplies
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 1 month ago
UR
Software Engineer - Team Lead (Forward Deployed)
Urban Ridge Supplies
Mississauga, ON
- Full-time
We’re looking for a Software Engineer Team Lead (Forward Deployed) to join our customer engineering team as a player/coach. You’ll work directly with enterprise clients to design,…
Added 1 month ago
UR
Lead Agentic AI Engineer
Urban Ridge Supplies
Toronto, ON
- $98,000 to $138,000 CAD / year
- Full-time
…stronger financial future for the healthcare community. As a Lead Agentic AI Engineer, you will work directly with engineers, architects, security, governance , and business partners to…
Added 1 month ago
UR
AI Deployment & Solutions Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
The Forward Deployment Engineer (FDE) Technical Lead is a hands-on engineering leader responsible for solving complex problems by combining software engineering, AI/GenAI, data, cloud,…
Added 1 month ago
UR
Lead, AI/Machine Learning Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
The Lead, AI/Machine Learning Engineer will join the AI Delivery and Innovation team within the Platform Engineering, AI and Advanced Analytics department. This team acts as a central hub…
Added 1 month ago
UR
Principal Developer Support Engineer - Builder Experience
Urban Ridge Supplies
Toronto, ON
- $140,000 to $192,500 CAD / year
- Full-time
End-to-End Ownership: Resolve our most complex developer cases, including multi-product architectures, ISV integration designs, and strategic account escalations.
Added 1 month ago
UR
Middle/Senior Forward Deployed Engineer (Python, AI)
Urban Ridge Supplies
Toronto, ON
- Full-time
Lead discovery sessions to understand the client's business, systems, data, operating model, and underlying challenges.
Added 1 month ago
UR
Senior Applied AI Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
Lead the solution development, from ideation to prototyping and liaise with our partners to facilitate production and monitoring.
Added 1 month ago
UR
AI Platform Engineering Lead
Urban Ridge Supplies
Toronto, ON
- Full-time
The AI Platform Engineering Lead is the senior technical authority for how AI is built at AGF. Reporting to the VP, Technology Services, the role defines the blueprints that AI solutions…
Added 1 month ago
UR
Technical Architect - AI
Urban Ridge Supplies
Toronto, ON
- Full-time
User Training and Support: Lead training sessions and workshops to empower clients with the knowledge to leverage our platform effectively, fostering user adoption and long-term impact.
Added 1 month ago
UR
Forward Deployed Engineer
Urban Ridge Supplies
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 1 month ago
UR
Specialist, AI Engineering
Urban Ridge Supplies
Toronto, ON
- Full-time
Proof-of-Concept to Production: Lead in conjunction with internal and external stakeholders the full lifecycle of AI projects, from initial ideation and rapid prototyping (Proof-of-Concept)…
Added 1 month ago
UR
Lead Full-Stack GenAI Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
As a Lead Full-Stack GenAI Engineer , you will lead the hands-on delivery of secure Generative AI and agentic AI solutions from discovery and prototype through production deployment,…
Added 1 month ago
UR
Forward Deployed Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
…sitting with the GM, the operators, and the customer success lead - figuring out where the leverage is, and shipping agentic software directly into their operation. The platforms exist. You…
Added 1 month ago
UR
AI/ML Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
Serve as a machine learning engineering subject matter expert, lead technical design discussions, and mentor team members on AI/ML best practices.
Added 1 month ago
UR
Principal Software Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
…strategy, tackle our most complex engineering challenges, and lead the integration of advanced AI models into highly scalable, production-grade…
Added 1 month ago
UR
Senior AI Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
Design, prototype, and lead development of agentic AI systems capable of multi-step reasoning, task decomposition, and tool use to automate and support complex business workflows.
Added 1 month ago
UR
AI Deployment & Solutions Lead
Urban Ridge Supplies
Toronto, ON
- Full-time
The Forward Deployment Engineer (FDE) Technical Lead is a hands-on engineering leader responsible for solving complex problems by combining software engineering, AI/GenAI, data, cloud,…
Added 1 month ago
UR
AI Solutions Architect (Senior and Principal)
Urban Ridge Supplies
Toronto, ON
- Full-time
Lead technical discussions, mentor engineers, conduct architecture reviews, and contribute reusable patterns that strengthen both client delivery and RAVL's AI capabilities
Added 1 month ago
UR
Forward Deployed Engineer, Sovereign AI
Urban Ridge Supplies
Toronto, ON
- Full-time
Lead end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout
Added 1 month ago
UR
FDE Senior Engineer, AI & Capital Markets
Urban Ridge Supplies
Mississauga, ON
- Full-time
Lead through to production: deploy into a secure, regulated environment, with monitoring, alerting, index and model refresh, a runbook and a documented handover. You remain engaged until…
Added 1 month ago
UR
AI Solutions Engineer, Agentic Automation
Urban Ridge Supplies
Toronto, ON
- Full-time
Reporting to Northleaf’s AI Agent Lead, the AI Solutions Engineer will design, build, and deliver agentic AI and automation solutions for teams across Northleaf, translating business…
Added 1 month ago
UR
Forward Deployed Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
…sitting with the GM, the operators, and the customer success lead - figuring out where the leverage is, and shipping agentic software directly into their operation. The platforms exist. You…
Added 1 month ago
UR
Software Engineer, Applied AI
Urban Ridge Supplies
Toronto, ON
- Full-time
Senior engineering ability: Write clean, documented code (Python, Go, JavaScript, etc.) and use agentic coding tools (Claude Code, Codex etc) as a core part of your development workflow -…
Added 1 month ago
UR
Forward Deployed Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
Lead the deployment of Signal 1's platform and solutions across multiple health systems

Urban Ridge Supplies

Forward Deployed Engineer

Mississauga, ON, Canada

Full-time

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Job details

Job type: Full-time
Experience: 8+ years of experience building, integrating, troubleshooting, or delivering enterprise software solutions.
Posting language: English
Posted: Sep 24, 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.

Job Id: 7atOY2UbKDkO6Sk7J6070xkT/Zj89UXWO7UyUZgChBQk7vlqNOdVgToY0J+9EwzvsE9qJaHb201kpTLDHO1DPBDCzJFefbnCZg==

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More about this job

Responsibilities

The Forward Deployed Engineer will partner with business teams to frame complex problems and build validated AI-enabled prototypes. They will lead the discovery process and collaborate with cross-functional teams to transition successful prototypes into scalable production solutions.

Requirements

Candidates must have 8+ years of experience in software engineering, solution architecture, or technical consulting with strong full-stack development skills. A bachelor's degree in Computer Science, Engineering, or a related field is required.

Skills

Software Engineering
Solution Architecture
Artificial Intelligence
Prototyping
React
Node.js
TypeScript
Python
Snowflake
Databricks
API Development
Cloud Infrastructure
Stakeholder Engagement
Data Pipelines
Machine Learning Operations
System Integration

Visa sponsorship

Not detected in the job text

Keywords

Forward Deployed Engineer
AI-enabled solutions
Software Engineering
Solution Architecture
Prototyping
React
Node.js
TypeScript
Python
Snowflake
Databricks
MLOps
Retrieval-Augmented Generation
Copilots
Semantic Search
Workflow Automation
API
Cloud Infrastructure
Data Governance
Responsible AI
Agile
Oncology
Clinical Operations
Revenue Cycle
Azure AI
Salesforce
ServiceNow
Power BI
Cybersecurity
Digital Transformation

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