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Added 17 mins ago
Data Scientist
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
Full-time
Hands-on experience with GenAI frameworks and LLM APIs, including developing AI bots/agents with reasoning and tool-use capabilities
Added 46 mins ago
Senior Machine Learning Developer, 3D Geometry & Multimodal AI
Autodesk
Toronto, ON
Full-time
26WD99904, Machine Learning Developer 3D Geometry & Multimodal AI
Added 46 mins ago
Senior Machine Learning Developer, 3D Geometry & Multimodal AI
Autodesk
Toronto, ON
Full-time
26WD99904, Machine Learning Developer 3D Geometry & Multimodal AI
Added 46 mins ago
AI Engineer
Collabera
Canada
Contract
The ideal candidate is a strong application/software engineer with hands-on GenAI experience who can take existing LLM capabilities such as GPT, Claude, Gemini, or LLaMA and build…
Added 46 mins ago
Senior Machine Learning Developer, 3D Geometry & Multimodal AI
Autodesk
Montreal, QC
Full-time
26WD99904, Machine Learning Developer 3D Geometry & Multimodal AI
Added 46 mins ago
Staff AI Builder
Robots & Pencils
Canada
Full-time
6+ years of professional software engineering experience, including meaningful time shipping GenAI/LLM-powered systems in production - not just prototypes
Added 1 hour ago
Principal Engineer - GTB Data and Platforms
TD
Toronto, ON
Full-time
Understanding of GenAI and LLMs, and their application in engineering and platform development
Added 1 hour ago
Senior Machine Learning Developer, 3D Geometry & Multimodal AI
Autodesk
Montreal, QC
Full-time
26WD99904, Machine Learning Developer 3D Geometry & Multimodal AI
Added 1 hour ago
Senior Machine Learning Developer, 3D Geometry & Multimodal AI
Autodesk
Montreal, QC · Greater Montreal Metropolitan Area
Full-time
26WD99904, Machine Learning Developer 3D Geometry & Multimodal AI
Added 1 hour ago
New Graduate / Internship Applications
Compass Data & AI
Montreal, QC
Internship
GenAI: Familiarity with modern GenAI frameworks (e.g., LangChain, LangGraph) and hands-on experience building AI-powered applications is a plus.
Added 2 hours ago
Forward Deployed AI Engineer
Urban Ridge Supplies
Toronto, ON
Full-time
Added 3 hours ago
AI Deployment & Solutions Engineer
Urban Ridge Supplies
Toronto, ON
Full-time
…solving complex problems by combining software engineering, AI/GenAI, data, cloud, integration and platform…
Added 3 hours ago
Lead, AI/Machine Learning Engineer
Urban Ridge Supplies
Toronto, ON
Full-time
Practical experience with one or more LLM/GenAI frameworks, such as LangChain, LlamaIndex, or Semantic Kernel.
Added 3 hours ago
Senior Applied AI Engineer
Urban Ridge Supplies
Toronto, ON
Full-time
cross-functional teams to deliver scalable, secure, and compliant AI products. The engineer will design and implement GenAI and agent-based
Added 3 hours ago
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 3 hours ago
Senior AI Engineer
Urban Ridge Supplies
Toronto, ON
Full-time
You'll be building the agents and GenAI systems that CI's advisors, analysts, and operations teams actually rely on day to day - not prototypes that stall out after the demo.
Added 3 hours ago
AI Deployment & Solutions Lead
Urban Ridge Supplies
Toronto, ON
Full-time
…solving complex problems by combining software engineering, AI/GenAI, data, cloud, integration and platform…
Added 3 hours ago
Forward Deployed Engineer, Sovereign AI
Urban Ridge Supplies
Toronto, ON
Full-time
…value through secure, ethical deployment of Generative AI (GenAI) solutions. We work collaboratively to address complex societal challenges while maintaining the highest standards of data…
Added 3 hours ago
Applied AI Engineer
Urban Ridge Supplies
Mississauga, ON
Full-time
Design, build, and ship production-grade GenAI/LLM applications across Hygiena products including SureTrend - copilots, conversational agents and assistants, workflow automation, and…
Added 4 hours ago
Lead IT Scrum Master, AI Initiatives
Royal Bank of Canada
Toronto, ON
Full-time
Come and be part of our innovative and high performing GenAI and Mobile Team if you are a talented, tenacious, meticulous and results-focused individual. You will be managing the delivery…
Added 8 hours ago
Senior Manager, Culture Leadership and Learning, Executive Leadership Programs
Deloitte
Toronto, ON
Full-time
…transformation, AI-enabled learning, and leadership in the age of GenAI. You will be accountable for identifying new opportunities, strengthening client relationships, and contributing to…
Added 9 hours ago
Intermediate Software Engineer
AltaML
Toronto, ON
$90,000 to $110,000 CAD / year
Full-time
Exposure to agentic workflows or GenAI product development.
Added 14 hours ago
Team Lead
Deloitte
Toronto, ON
Full-time
Experience supporting AI, GenAI, Machine Learning, or Agentic AI initiatives.
Added 15 hours ago
Senior Director, AI and Data & Integration Platforms
Royal Bank of Canada
Mississauga, ON
Full-time
…solutions in production environments. Strong understanding of GenAI and Agentic AI applications across business operations, including predictive analytics, automation, and intelligent…
Added 16 hours ago
Python AI/ML Engineer
K&K Global Talent Solutions INC.
Mississauga, ON
Full-time
…scalable AI-driven solutions focused on Machine Learning, LLMs, GenAI, and Risk Analytics. The ideal candidate will have strong expertise in Python, FastAPI, REST APIs, RAG, MCP, ADK, and…

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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