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Added 1 hour ago
Senior Systems Engineer
Thales
Ottawa, ON
Full-time
Support system integration, test planning, verification and validation activities.
Added 1 hour ago
Electrical Engineering Intern
Percucision
Montreal, QC
Full-time
Support hardware verification and validation testing
Added 1 hour ago
Sr. Firmware Developer
AEM
Victoria, BC
$85,000 to $110,000 USD / year
Full-time
The ideal candidate combines strong embedded software fundamentals with hands-on hardware integration, system debugging, verification, and technical leadership. This is a hands-on product…
Added 3 hours ago
Systems Test Engineer
Actalent
Ottawa, ON
Contract
System level testing (Verification, Validation, Integration).
Added 4 hours ago
Forward Deployed AI Engineer
Urban Ridge Supplies
Toronto, ON
Full-time
Translate use cases into clear, implementable system designs
Added 5 hours ago
Senior Software Verification and Validation Engineer - Medical Device
MMR Consulting
Vaughan, ON
We are seeking an experienced Senior Software Verification and Validation (V&V) Engineer to support the development, integration, verification, and validation of medical devices, diagnostic…
Added 5 hours ago
Senior Software Verification and Validation Engineer - Medical Device
MMR Consulting
Vaughan, ON
We are seeking an experienced Senior Software Verification and Validation (V&V) Engineer to support the development, integration, verification, and validation of medical devices, diagnostic…
Added 6 hours ago
Senior Software Verification and Validation Engineer - Medical Device
MMR Consulting
Vaughan, ON
We are seeking an experienced Senior Software Verification and Validation (V&V) Engineer to support the development, integration, verification, and validation of medical devices, diagnostic…
Added 13 hours ago
Senior Software QA Tester
Alimentiv
London, ON
$89,000 to $138,000 CAD / year
Full-time
Execute complex or high-risk test scenarios requiring deep technical judgment, including cross-system integration testing and validation-critical test cases
Added 16 hours ago
Enhesa Product Architect
W3Global
Canada
Contract
Support go-live cutover activities including data validation checks, user access verification, and system readiness confirmation.
Added 18 hours ago
Quality Engineer II (Mainframe)
TD
Toronto, ON
Full-time
Design and execute end-to-end functional, system, integration, regression, negative, batch, online and implementation-readiness testing across mainframe and connected distributed or API…
Added 19 hours ago
(CONTRACT) - Technical Expert, Engineering - Systems Installation Integrator
Bombardier
Montreal, QC
Contract
Support design reviews, installation compliance, verification and validation, qualification, and certification activities.
Added 21 hours ago
Senior OCS Engineer - Testing & Commissioning
Techaxis, Inc
Mississauga, ON
Full-time
Knowledge of the system, subsystems of a transportation system and related interactions, system architecture
Added 22 hours ago
Software Infrastructure Designer
Hexagon
Calgary, AB
Full-time
…improving, and developing automated test infrastructure used in the verification and validation of software and hardware products. You will learn about our systems and utilize your…
Added 22 hours ago
System Hardware Engineering Tester
Natus Medical Incorporated
Oakville, ON
Full-time
Create hardware verification plans, test cases, and automated test protocols based on system architecture and design requirements.
Added 23 hours ago
Quality Assurance Automation Engineer
Capgemini
Mississauga, ON
Full-time
Validate APIs and backend services to ensure system reliability, functionality, and data integrity.
Added 1 day ago
Product Development Engineering Specialist
Trudell Medical International
Waterloo, ON
$80,000 to $95,000 CAD / year
Full-time
…programs while contributing to the overall technical direction and system integration of the product. The role delivers on mechanical product architecture, physical and fluidic interfaces,…
Added 1 day ago
Senior Product Development Engineering Specialist
Trudell Medical International
Waterloo, ON
$105,000 to $125,000 CAD / year
Full-time
…programs while contributing to the overall technical direction and system integration of the product. The role provides technical leadership for mechanical product architecture, physical…
Added 1 day ago
System Engineer
Matchtech North America
Toronto, ON · Greater Toronto Area, Canada
Full-time
Ensure verification and validation of requirements, linking them to tests and results.
Added 1 day ago
Lead Automation Developer - Vice President
Citi
Mississauga, ON
Full-time
…Factory patterns) and SOLID design principles to eliminate manual verification bottlenecks and minimize technical…
Added 1 day ago
System Hardware Engineering Tester
Natus
Oakville, ON
Create hardware verification plans, test cases, and automated test protocols based on system architecture and design requirements.
Added 1 day ago
Senior Manager, Financial Systems, Security & Automation
The North West Company
Winnipeg, MB
Full-time
Research new system features and industry best practices, assessing opportunities to enhance functionality, configuration, and integration across the financial systems environment.
Added 1 day ago
Quality Assurance Analyst
Dawn InfoTek
Toronto, ON
Contract
Testing Proficiency: Exceptional strength in functional, system integration (SIT), UI/UX, cross-browser, cross-device, and regression testing methodologies.
Added 1 day ago
Ingenieur De Test
Actalent
Quebec, QC
Contract
Titre du poste: Ingénieur en Validation & Vérification
Added 1 day ago
Intégrateur De Systèmes / Systems Integrator
Actalent
Dorval, QC
Contract
Soutenir les revues de conception, les activités de conformité d’installation, de vérification et validation, de qualification et de certification.

Urban Ridge Supplies

Forward Deployed AI Engineer

Toronto, ON, Canada

Job type: Full-time
Posting language: English
Posted: Sep 24, 2026

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Original job description

We are looking for a Staff-level Forward Deployed AI Engineer to design, build, and deliver AI-powered applications that create measurable business impact.

This is a hands-on engineering role with strong design responsibility - you will spend most of your time writing code, integrating systems, and taking solutions to production, while also shaping practical, scalable designs that ensure what you build can operate reliably at enterprise scale.

You will work closely with business stakeholders to identify high-value opportunities, rapidly prototype solutions, and evolve them into well-architected, production-grade systems.

What You Will Be Responsible For

You will play a lead technical role in designing and delivering AI-enabled solutions across the enterprise.

Build & Ship AI Applications (Primary Focus)
Design, develop, and deploy AI-powered applications and workflows
Write production-quality code across:

Backend services and APIs
AI orchestration layers and agents
Enterprise integrations

Rapidly prototype solutions and iterate them into scalable production systems
Own delivery end-to-end: build, test, deploy, monitor, and improve
Design Practical, Scalable AI Systems
Translate use cases into clear, implementable system designs
Make architecture decisions that balance:

Speed of delivery
Scalability and reliability
Cost and operational efficiency

Define patterns for:

API-first integrations
AI orchestration and workflows
Reusable services and components

Ensure systems are simple enough to build quickly, but structured enough to scale
Integrate AI into Real Enterprise Workflows
Embed LLM capabilities into products, internal tools, and business processes
Build and maintain APIs and system integrations
Implement agent workflows and orchestration logic that solve real operational problems
Optimize systems for performance, resilience, and cost efficiency
Partner with Business & Deliver Outcomes
Work directly with stakeholders to understand problems and validate solutions
Translate requirements into working software quickly (days/weeks, not months)
Iterate based on feedback and usage to drive measurable impact
Contribute to Engineering Standards & Reuse
Build and contribute to shared libraries, templates, and services
Establish practical patterns based on real implementations
Help evolve internal platforms through code and working solutions, not just design artifacts
Build Within a Governed AI Environment
Implement secure and reliable AI solutions in practice, including:

Prompt safety and validation
Injection/misuse prevention
Observability and traceability

Align implementations with enterprise security, privacy, and compliance requirements

Technology Environment

Cloud & Platform: Microsoft ecosystem (Azure)
AI Models: Claude and other enterprise-approved LLMs
Architecture Style: API-first, event-driven, and modular services
Core Focus:

AI application engineering
Orchestration and agent workflows
Enterprise integrations

What You Bring

Hands-On Engineering Strength (Critical)

Proven ability to build and ship production systems at scale
Strong experience in:

Backend development and API design
Cloud-native systems (Azure preferred)
Integration-heavy, distributed applications

Comfortable operating in a high-output, hands-on environment

System Design & Architecture Judgment

Ability to design clean, practical architectures that support real-world constraints
Experience making trade-offs across:

delivery speed vs scalability
simplicity vs flexibility

Can move fluidly between coding and design thinking

AI / GenAI Development

Hands-on experience building LLM-powered applications in production
Strong understanding of:

Prompt design and evaluation
Agent-based workflows and orchestration
Integrating AI into production systems

Ability to debug, tune, and improve AI behavior in code

Execution Mindset

Bias toward shipping and learning from production usage
Comfortable moving from idea → prototype → production
Strong ownership: you build it, you run it

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Id: /4gL9VqJCPc0V6iwu7FhrnEzu56cMKnqWui3TkMSuk9tUwrTyo6j6EA0yjmvPFNezUx7bxMPv606Kbr68xAUoa8pBgdmwls5Hw==

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More about this job

Responsibilities

Design, build, and deploy AI-powered applications and workflows that create measurable business impact. Partner with stakeholders to translate use cases into scalable, production-grade enterprise systems.

Requirements

Requires strong hands-on engineering experience in backend development, cloud-native systems, and AI/GenAI application development. Must possess the ability to design practical architectures and own the end-to-end delivery of production systems.

Skills

AI Engineering
Backend Development
API Design
Cloud-native Systems
Azure
LLM
Prompt Design
Agent-based Workflows
System Architecture
Distributed Applications
Production Deployment
Orchestration
Software Engineering
Enterprise Integrations
Scalability

Visa sponsorship

Not detected in the job text

Keywords

AI Engineer
Staff-level
Azure
LLM
Backend
API
Orchestration
Agents
Cloud-native
Distributed Systems
Prompt Engineering
Scalability
Reliability
Enterprise Integration
Prototyping
Production-grade
Observability
Traceability
Security
Compliance
Software Architecture
Event-driven
Modular Services
Performance Optimization
Engineering Standards

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