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Added 8 mins ago
Manager, Centre of Excellence in Hypertension and Vascular Health
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
Full-time
…the Centre's research activities and support its continued development as a multidisciplinary platform for hypertension and vascular…
Added 8 mins ago
Staff Attorney 2
Minnesota Direct Care and Treatment
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Full-time
…by providing benefits, support resources, and training and development…
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Full-time
…engineering workflows, and integrate Large Language Models into their…
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Senior Business Systems Analyst (SAP)
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Join our team to engage in continuous learning and skill development in a supportive environment. Experience the best of both worlds with our hybrid work environment, where you spend three…
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Senior Business Systems Analyst (SAP)
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…high-performing team responsible for the successful delivery and ongoing development of the Beedie School of Business’s portfolio of nine graduate programs. The team oversees the full…
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Household Sales Representative
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Director, Physical Safety & Strategic Security Solutions
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Full-time
…promoting a healthy work-life balance, professional growth and development, as well as a safe and respectful workplace. We offer continuing employees who belong in the Administrative…
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Information Assistant
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Burnaby, BC
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…promoting a healthy work-life balance, professional growth and development, as well as a safe and respectful workplace. We offer temporary employees who belong in the Canadian Union of…
Added 8 mins ago
Thanks for visiting our Job Board. Please review our open positions and apply to the positions that match your qualifications.
Evertz
Burlington, ON
Full-time
Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for employment. Under the GDPR, you have the right to request…
Added 8 mins ago
Health Care Worker, Dogwood East, Forensic Psychiatric Hospital – Coquitlam, BC
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Thanks for visiting our Job Board. Please review our open positions and apply to the positions that match your qualifications.
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Urban Ridge Supplies

Forward Deployed Engineer

Mississauga, ON, Canada

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

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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