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Added 14 mins ago
Staff Embedded Software Engineer - Permanent - 18965
LRO Staffing
Ottawa, ON
Full-time
On behalf of a valued client, LRO Staffing is seeking a Staff Embedded Software Engineer to join a rapidly growing technology company focused on connectivity solutions.
Added 14 mins ago
Senior Native Engineer, Partnerships
Javelin Venture Partners
ON · Ontario, Canada
Full-time
…space to build out their profiles and their businesses on our platform. We will do this by expanding where and how Thumbtack can create value by putting our experience on complementary…
Added 14 mins ago
Senior Software Engineer, Design Systems
Javelin Venture Partners
ON · Ontario, Canada
Full-time
…This role covers web and AI-assisted workflows; the partner engineer covers cross-platform components and design tokens. We partner with Developer Experience on AI tooling and Frontend…
Added 4 hours ago
Lead AI Platform Engineer | Digital-First Canadian Bank | Toronto Hybrid
Deep Native
Toronto, ON
Contract
We’re hiring a Lead AI Platform Engineer for a Canadian banking client with a strong digital focus. The role sits within AI Platform Operations and supports the administration, governance…
Added 6 hours ago
Utilities Engineer - Interface Management (Senior)
SYSTRA
Toronto, ON
Full-time
The Utilities Engineer – Coordination and Interface Management is responsible for the identification, coordination, and resolution of interfaces between the High-Speed Rail (HSR) project…
Added 6 hours ago
Software Engineer, Agent - Retail
Sierra
Toronto, ON
Full-time
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands - including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank - to…
Added 7 hours ago
Intermediate Software Engineer
AltaML
Calgary, AB
$90,000 to $110,000 CAD / year
Full-time
We overpay for the right people. We'd rather pay a premium for an engineer who embodies this and multiplies the team than save money on someone who doesn't
Added 7 hours ago
Power Platform & Copilot Studio Architect
Softchoice
Calgary, AB · AB · NS · Oakville, ON · Ottawa, ON · Toronto, ON · Nova Scotia, Nova
…conversational-AI solutions built on Microsoft Copilot Studio and the Power Platform, backed by custom Azure development where the workload demands it. This role owns the hardest recurring…
Added 8 hours ago
Software Development Engineer II, Omnichannel Metrics (OCM) - Measurement, Ad Tech, and Data Science (MADS)
Amazon
Toronto, ON
…transform OCM from a reporting tool into an autonomous measurement platform. You'll work across Scala, Java, and Python, with deep expertise in big data technologies (Apache Spark, Kestrel,…
Added 8 hours ago
Salesforce Platform Engineer
RBC
Toronto, ON
Full-time
We are seeking an experienced Salesforce Platform Engineer to support the design, development, and enhancement of our commercial lending platform built on nCino. You will work closely with…
Added 8 hours ago
Principal AI Engineer
RBC
Calgary, AB
Full-time
We are looking for a Principle AI Engineer to drive the development of Data engineering solutions on RBC’s Enterprise Data and AI Hybrid Multi-cloud Platforms, that meet the strategic data…
Added 8 hours ago
Senior Cloud Security Engineer ( Global Security)
RBC
Vancouver, BC · Toronto, ON
Full-time
…RBC’s AWS environment. In this role as a Senior Cloud Security Engineer, you will develop AWS security controls and drive the development of innovative cloud security solutions to enhance…
Added 8 hours ago
Software Developer, Metadata
RBC
Calgary, AB
Full-time
…management and the financial services industry. As a Software Engineer, you’ll be responsible for architecting, building, and maintaining secure, scalable backend services for the critical…
Added 8 hours ago
Associate Director - Lead Software Developer
RBC
Toronto, ON
Full-time
We are looking for a highly motivated, top-notch software engineer who is a great team player constantly thinking about quality, maintainability, robustness, and simplicity in all generated…
Added 8 hours ago
Software Development Engineer (Full Stack) - Evisort AI
Workday
Vancouver, BC · Canada, BC, Vancouver
Full-time
Evisort Engineering is growing! As a Fullstack Software Engineer, you’ll join a collaborative, cross-functional team working to enhance and expand our AI-driven contract management…
Added 8 hours ago
Senior ML/AI Engineer
Canadian Tire Corporation
Toronto, ON
Full-time
Design and operate our ML platform layer - feature store, reproducible training pipelines, and cloud training job submission - so retraining is cheap and routine rather than a project.
Added 9 hours ago
Senior Full-Stack Developer
St. Joseph Communications
Toronto, ON
$100,000 to $120,000 CAD / year
…marketing solutions that inform, inspire and empower on every platform - from print to emerging digital channels. Our influence - and a 22-year streak on Canada’s Best Managed Companies…
Added 9 hours ago
Senior Embedded Software Designer
Kepler Communications Inc.
Toronto, ON
Full-time
We're on the hunt for a top-tier Embedded Software Engineer. Your focus will be on software development and maintenance required for both space and ground-based assets for a growing fleet…
Added 9 hours ago
Intermediate Software Engineer
AltaML
Toronto, ON
$90,000 to $110,000 CAD / year
Full-time
We overpay for the right people. We'd rather pay a premium for an engineer who embodies this and multiplies the team than save money on someone who doesn't
Added 9 hours ago
Senior Data Engineer
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON · CA ON Toronto
$103,000 to $153,000 CAD / year
Full-time
Our Enterprise Data Platform team builds and operates the cloud data platform that powers analytics, reporting, and AI across HOOPP. As a Senior Data Engineer, reporting to the Senior…
Added 9 hours ago
Senior Data Solutions Engineer
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON · CA ON Toronto
$103,000 to $153,000 CAD / year
Full-time
…future for the healthcare community. As a Senior Data Solution Engineer, you will help keep HOOPP's investment data ecosystem reliable, governed, and ready to evolve toward a shared…
Added 9 hours ago
Développeur(-euse) principal(e) de logiciels (contenu) /Principal Software Development Engineer
Expedia Group
Montreal, QC · Canada - Quebec - Montreal
Full-time
Added 9 hours ago
Staff Software Engineer - Capital One Travel Tech - Full-stack
Capital One
Toronto, ON
Full-time
161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Staff Software Engineer - Capital One Travel Tech - Full-stack
Added 10 hours ago
Senior Data Platform Engineer
Norton Rose Fulbright
Toronto, ON · Calgary, AB
Full-time
The Senior Data Platform Engineer will act as a technical lead for our technologies in any project or initiative, and is responsible for designing, developing, implementing, and supporting…
Added 10 hours ago
Business Systems Engineer, AI
Canadian Tire Corporation
Toronto, ON · Oakville, ON
Full-time
We’re looking for an AI-first Business System Engineer - AI to help accelerate how CTC teams adopt, design, and scale intelligent ways of working. This role sits at the intersection of…

Closed listing

Flatgigs

Principal Systems Engineer- Enterprise AI (Design & Implementation)

Montreal, QC, Canada

Job type: Full-time
Closing date: Jan 31, 2027
Posting language: English
Posted: Aug 4, 2026

This opening has closed.

The original listing is kept below for reference.

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Added 1 month ago
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Original job description

Archived listing. The details below describe a past opening.

Role Summary

Our client is hiring a highly technical Systems Engineer to join its North American R&D and solutioning hub.

This role is designed for an engineer who can move fluently between systems thinking, high-level architecture and hands-on software engineering. The successful candidate will design and build scalable, enterprise-grade AI systems, reusable software development kits, application frameworks, libraries, reference architectures and solution templates that can be adapted across multiple enterprise use cases.

You will not be responsible for designing isolated features or single-purpose applications. You will engineer complete systems by understanding business requirements, performance expectations, user volumes, integration constraints, tenancy models, security requirements and operational behaviour.

The ideal candidate has a proven track record of designing and delivering complex enterprise solutions while remaining close to the code.

What Will You Build

You will contribute to the design and development of:

Enterprise-grade artificial intelligence platforms and solutions
Multi-tenant software architectures
Reusable SDKs, libraries and engineering frameworks
Application templates and reference implementations
AI-enabled enterprise applications
Modular product components that can be assembled into broader solutions
Integration layers connecting existing platforms, services and applications
Scalable backend services and distributed systems
High-level and detailed system architecture artefacts
Proofs of concept that can be industrialised into production-grade products

KEY RESPONSIBILITIES

SYSTEMS DESIGN & ARCHITECTURE

Own the high-level design of scalable, secure and maintainable enterprise systems
Translate complex business and technical requirements into clearly defined system architectures
Design systems based on expected user volumes, performance requirements, data throughput, concurrency, availability and operational constraints
Define system boundaries, component responsibilities, service interactions, data flows, interfaces and integration patterns
Design architectures capable of supporting a minimum of 1,000 users while maintaining reliability, performance and scalability
Evaluate architectural trade-offs across performance, cost, maintainability, security and speed of delivery
Develop reference architectures and reusable design patterns for enterprise AI solutions
Create architecture documentation, technical specifications, system diagrams and design decision records

ENTERPRISE AI SOLUTION ENGINEERING

Design enterprise AI solutions that combine models, SDKs, applications, APIs, data platforms and existing enterprise systems
Determine how existing technologies and applications can be integrated and orchestrated into a unified solution
Architect systems supporting AI inference, intelligent automation, agentic workflows, retrieval, data processing and enterprise integrations
Design reusable AI solution components rather than one-off implementations
Ensure AI systems are production-ready, observable, secure and capable of operating at enterprise scale
Collaborate with AI, machine learning, product and platform teams to convert experimental capabilities into reliable software products

HANDS-ON SOFTWARE ENGINEERING

Remain directly involved in coding, prototyping and technical implementation
Build backend services, APIs, libraries, SDKs, system components and reusable engineering tools
Produce clean, efficient, tested and maintainable production code
Prototype complex architectural concepts to validate feasibility, performance and integration behaviour
Review code and guide engineering teams on system-level implementation decisions
Diagnose performance bottlenecks, architectural limitations and system-level failures
Work across multiple programming languages and choose technologies based on system requirements rather than personal preference

MULTI-TENANT AND SCALABLE SYSTEMS

Design multi-tenant architectures with appropriate tenant isolation, access control, configuration and resource management
Define strategies for shared and dedicated infrastructure across different enterprise customers
Design systems that can scale horizontally and vertically based on workload patterns
Understand the performance, capacity, limitations and ideal use cases of each system component
Establish approaches for load distribution, caching, asynchronous processing, resilience and fault tolerance
Design for high availability, graceful degradation, recoverability and operational continuity
Anticipate future scale and prevent architectural decisions that create long-term platform limitations

TECHNICAL LEADERSHIP AND COLLABORATION

Work closely with CTOs, architects, product leaders, AI engineers and software development teams
Lead technical discussions and communicate architectural decisions clearly to technical and non-technical stakeholders
Challenge weak assumptions and identify risks before implementation begins
Provide technical direction without becoming disconnected from implementation

Requirements

Strong professional experience in systems engineering, software architecture, platform engineering or backend engineering
Demonstrated expertise in high-level system design and architectural thinking
Proven experience designing and delivering at least five enterprise-grade solutions
Each qualifying solution should have supported, or been designed to support, at least 1,000 users
Strong hands-on software development experience with Python, Go, Rust (language agnostic)
Experience building scalable, distributed or service-oriented systems
Experience designing multi-tenant platforms or enterprise SaaS products
Strong understanding of system performance, capacity planning, concurrency and scalability
Experience integrating multiple existing applications, platforms or services into a unified enterprise solution
Experience designing APIs, SDKs, libraries, frameworks or reusable product components
Experience converting prototypes or proofs of concept into production-grade systems
Strong understanding of reliability, security, observability and maintainability
Ability to produce clear high-level design documentation and architecture diagrams

Benefits

Competitive Salary based on Market Rates
Performance Bonus Scheme (PBS)
Team Stock Option Pool (TSOP)
Plus, other Company Benefits

About employer

More about this job

Responsibilities

Design and build scalable, secure enterprise AI systems, reusable software components, multi-tenant platforms, and reference architectures, translating business and technical requirements into production-ready solutions. Stay hands-on with coding and prototyping while guiding architecture decisions, integrations, system performance, reliability, and collaboration across technical and product teams.

Requirements

Requires substantial experience in systems, software, platform, or backend engineering, including a demonstrated record of designing and delivering at least five enterprise-grade solutions for 1,000 or more users. Candidates should have hands-on experience with Python, Go, or Rust; distributed and multi-tenant systems; APIs and reusable components; productionizing prototypes; and system scalability, security, reliability, and architecture documentation.

Skills

Systems Engineering
Enterprise Architecture
Enterprise AI
Python
Go
Rust
Distributed Systems
Multi-Tenant Architecture
Backend Engineering
API Design
SDK Development
Scalability
Performance Engineering
System Integration
Reliability Engineering
Technical Leadership

Benefits

Performance Bonus
Stock Options
Other Company Benefits

Visa sponsorship

Not detected in the job text

Keywords

Enterprise AI
Systems Engineering
System Architecture
Python
Go
Rust
Distributed Systems
Multi-Tenant Architecture
Enterprise SaaS
Backend Services
APIs
SDKs
Libraries
Engineering Frameworks
Reference Architectures
AI Inference
Intelligent Automation
Agentic Workflows
Retrieval
Data Processing
System Integration
Scalability
Capacity Planning
Concurrency
High Availability
Fault Tolerance
Observability
Security
Performance Engineering
Proofs Of Concept

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