Engineering & architecture jobs in Canada

Explore engineering & architecture jobs in Canada. Choose a role or place to find work that fits.

Counted Sep 27, 2026

Hiring at a glance

View jobs

Open jobs: 4,636
Employers: 1,454

Advertised starting pay

Average starting payCAD / year: $104,933Across 651 listings
Average starting payCAD / hour: $44.87Across 52 listings
Average starting payUSD / year: $141,867Across 35 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 2%109 listings
Hybrid: 36%1,686 listings
On-site: 61%2,831 listings

Not specified: <1% (10 listings)

Employers hiring include WSP in Canada (258), Egis Group (136), Stantec (133).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Engineering & architecture jobs in Canada

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Added 2 months ago
Planner Junior
NORSAT INTERNATIONAL INC
Aurora, ON
$45,000 to $65,000 CAD / year
Full-time
Added 1 month ago
Senior Mechanical Engineer
Wood
Saskatoon, SK
Full-time
Added 1 month ago
Industrial Engineer Precast
OSCO Construction Group
Saint John, NB
Full-time
Added 1 month ago
Industrial Engineer Pipe
OSCO Construction Group
Saint John, NB
Full-time
Added 1 month ago
PCB Supplier Quality & Manufacturing Engineer
Sapsol Technologies Inc
Toronto, ON
Added 1 month ago
PCB Supplier Quality & Manufacturing Engineer
Sapsol Technologies Inc
Montreal, QC
Added 2 months ago
Principal Mechanical Engineer
Worley
Calgary, AB · Edmonton, AB
Full-time
Added 2 months ago
Bridge Engineer - Roadways & Highways
Stantec
Dartmouth, NS
Full-time
Added 2 months ago
Electrical Engineering Technologist - Regina
Orion Steel Group
Regina, SK
Full-time
Here at Interpro Pipe and Steel - Regina the primary functions of the Electrical Engineering Technologist will be to design, install, maintain, program, configure and troubleshoot…
Added 24 days ago
Engineering Manager- Mining & Metals
Fluor
Vancouver, BC
Full-time
Fluor is one of Canada's top employers and is recognized globally as a leader in the Engineering, Procurement, Construction, Fabrication, and Maintenance industry. Our focus on innovation…
Added 2 months ago
Engineering Manager
SuperQ Quantum Computing
Remote, Canada
Full-time · Remote
SuperQ is seeking a hands-on Engineering Manager to lead, scale, and guide the technical direction of the engineering team building the Super Platform,our AI-driven supercomputing…
Added 3 months ago
Senior Mechanical Engineer
CRB
Mississauga, Ontario
Full-time
Added 2 months ago
INTERMEDIATE BRIDGE ENGINEER
MPE a division of Englobe
Grande Prairie, Alberta
Full-time
Join a growing bridge engineering team where you will take ownership of impactful transportation projects across Western Canada – from concept through construction. At MPE, you will combine…
Added 2 months ago
INTERMEDIATE BRIDGE ENGINEER
MPE a division of Englobe
Calgary, Alberta
Full-time
Join a growing bridge engineering team where you will take ownership of impactful transportation projects across Western Canada – from concept through construction. At MPE, you will combine…
Added 2 months ago
INTERMEDIATE BRIDGE ENGINEER
MPE a division of Englobe
Edmonton, Alberta
Full-time
Join a growing bridge engineering team where you will take ownership of impactful transportation projects across Western Canada – from concept through construction. At MPE, you will combine…
Added 2 months ago
Manufacturing Engineer
Communications & Power Industries (CPI)
Georgetown, Ontario
Full-time
Added 2 months ago
Senior Civil Engineer, Facilities
Irving Shipbuilding
Halifax, Nova Scotia
Full-time
Added 2 months ago
Mechanical Engineers and Technologists
Fleetway Inc.
Ottawa, Ontario
Full-time
Fleetway is seeking Mechanical Engineers and Mechanical Engineering Technologists to join our growing team! In this role, you'll contribute to marine design and integration projects,…
Added 2 months ago
Senior Environmental or Water Resources Engineer / Ingénieur(e) sénior à intermédiaire en environnement ou en ressources en eau
SRK Consulting
Montreal, Quebec
Full-time
Added 4 months ago
Mechanical Engineer (HVAC)
Architecttura Inc., Architects
Windsor, Ontario
$70,000 to $80,000 CAD / year
Full-time
Architecttura Inc., Architects is a full-service Architecture and Engineering firm with 32 years of experience delivering innovative, functional design solutions across institutional,…
Added 2 months ago
Mechanical Engineering Manager
Randstad Canada
Vancouver, British Columbia · Greater Vancouver, BC
Full-time
We are seeking a Mechanical Engineering Manager for a well established Engineering Consulting client of ours in the Vancouver area. In this role, you will provide technical leadership,…
Added 2 months ago
Senior Product Designer (Systems + UX) - Equity only
Palette
Remote, Canada
Full-time · Remote
Added 2 months ago
Senior Civil/Structural Engineer
Spark Power ⚡
Calgary, Alberta
Full-time
Spark Power is looking for a Civil/Structural Engineer to join our team. Reporting to the Engineering Manager, you will be responsible for developing and stamping Structural engineering…
Added 2 months ago
TECHNOLOGUE EN ARCHITECTURE SENIOR - SURVEILLANCE DE CHANTIER / SENIOR ARCHITECTURAL TECHNOLOGIST - SITE SUPERVISION
NEUF architect(e)s
Quebec, Quebec
Full-time
Fondée en 1971, NEUF architect(e)s est l’une des firmes d’architecture et de design les plus importantes et diversifiées du Canada. Avec des bureaux à Montréal, Ottawa et Toronto, notre…
Added 1 month ago
Electrical Engineer (Surrey,BC)
Savaria Corporation
Surrey, BC
Up to $80,000 CAD / year

Kinaxis

Architect, Machine Learning (Principal Scientist)

Canada

Job type: Full-time
Posting language: English
Posted: Jun 15, 2026

Apply About employer

Applications open in a new tab.

Original job description

About Kinaxis

Are you looking to join an innovative, market-leading company where you can truly elevate your career? At Kinaxis we are serious about culture, we are serious about technology, we are serious about customers, and we are serious about not taking ourselves too seriously. If you are looking to be part of an incredible growth story, then we might just be the place for you!

In 1984, we started out as a team of three engineers. Today, we have grown to become a global organization with over 2000 employees around the world, 6 global office and a best-in-class HQ in Ottawa, Canada. As winners of several Top Employer awards globally, we are proud to work with our customers and employees towards solving some of the biggest challenges facing supply chains today.

Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains, and supporting the people who manage them. Our powerful, AI infused platform provides full transparency and visibility across end-to-end supply chains, enabling our customers to make faster, better decisions. We are trusted by renowned global brands to provide the agility and predictability needed to navigate today’s volatility and disruption. With more than 40,000 users in over 100 countries, we are expanding our team as we continue to innovate and revolutionize how we support our customers.

Location

Ottawa and Toronto, CA - Hybrid

Other Canadian and USA locations - Remote

About the team

The AI team is responsible for advancing machine learning solutions in the supply and demand space across industries such as Retail, Consumer Packaged Goods, and Life Sciences. Our work spans forecasting, optimization, replenishment, recommendation, explainability, and emerging AI techniques that help customers solve complex, real- world planning challenges.

What makes this team unique is that we operate at the intersection of applied research, product innovation, and customer impact. We explore new methods, develop novel approaches, and turn them into practical capabilities that can shape the future of the Kinaxis platform. This is a team for people who want to work on meaningful problems, push the boundaries of applied AI in real business settings, and see their ideas influence products used by customers around the world.

Kinaxis is seeking a Machine Learning Architect to help define and advance our next generation of AI-driven capabilities. As part of the Product R&D organization, you will play a senior technical leadership role in applied AI, helping identify promising techniques, develop differentiated approaches, and shape how new ideas evolve into product capabilities.

In this role, you will work across research, product, and engineering boundaries to apply machine learning and Generative AI to complex supply chain problems. You will contribute through technical leadership and hands-on work, using modern tools and agents to explore ideas, develop early systems, and help guide what should move toward productization.

Vacancy Status

This is an existing job vacancy

What you will do

You bring deep expertise in machine learning and applied AI, and you are energized by turning emerging techniques into practical solutions for real customer problems. You are comfortable working through ambiguity, exploring new approaches, and building early systems that demonstrate clear value. You bring broad technical leadership across teams while remaining hands-on in applied research and innovation. You stay closely attuned to the rapidly evolving AI landscape, actively exploring and experimenting with emerging techniques, tools, and approaches to identify where they can create real product value. You have a knack for spotting high-leverage opportunities, cutting through complexity, and turning novel ideas into practical advances. You guide major technical decisions, identify opportunities for differentiation, and help translate new ideas into future product capabilities. You will work closely with product and engineering teams to ensure ideas are grounded in real-world constraints and can evolve into enterprise-grade software. You balance innovation with pragmatism and bring a strong focus on customer impact.
You will also mentor others across the organization and help foster a culture of rigorous, practical innovation.

What we are looking for

PhD in Computer Science, Machine Learning, Artificial Intelligence, Operations Research, or a related field.
Extensive experience applying machine learning to solve complex real-world problems, with a track record of developing novel approaches or adapting emerging techniques in practical settings.
Strong hands-on experience building prototypes, proof-of-concepts, and early systems that demonstrate the value of new ML and AI methods.
Deep expertise in modern AI techniques, with strong familiarity in areas such as agentic systems, LLMs, RAG, recommendation, optimization, explainability, and broader language-based AI techniques.
Strong technical judgment and the ability to assess new technologies critically, separating durable opportunities from short-term hype.
Demonstrated ability to influence technical direction across teams through expertise, credibility, and collaboration.
Strong programming ability in Python and experience working with modern ML and data tooling.
Experience partnering closely with engineering and product teams to move promising ideas toward scalable product capabilities.
Excellent communication skills, with the ability to engage technical and non-technical stakeholders and bring clarity to complex problems.
A practical, product-minded approach to innovation, with an appreciation for enterprise software quality, maintainability, and customer impact.
Ability to find opportunities to accelerate the SDLC through innovative application of AI or other tooling, while upholding architecture consistency, secure design, and code-quality standards.
Ability to review AI-generated code rigorously for correctness, architectural fit, integration risk, and edge case support with a growth mindset and bias for experimentation.

Nice to Have

Experience in supply chain, retail, life sciences, planning, or optimization domains.
Strong mathematical foundation in areas such as probability, statistics, linear algebra, optimization, or stochastic methods.
Experience with learning from human feedback and designing AI systems that incorporate feedback, oversight, or interaction into how they adapt and improve.
Track record of developing intellectual property through patents, publications, inventions, or other differentiated technical contributions.
Experience turning ambiguous customer or product problems into research directions, prototypes, and validated solution concepts.
Familiarity with enterprise SaaS products and the considerations involved in bringing AI capabilities into production environments at scale.

Apply About employer

More about this job

Responsibilities

You will define and advance AI-driven capabilities, contributing through technical leadership and hands-on work. This includes applying machine learning and Generative AI to complex supply chain problems and guiding the evolution of new ideas into product capabilities.

Requirements

A PhD in a relevant field and extensive experience in applying machine learning to real-world problems are required. Strong programming skills in Python and the ability to influence technical direction across teams are also essential.

Skills

Machine Learning
Artificial Intelligence
Python
Optimization
Explainability
Recommendation
Generative AI
Data Tooling
Technical Leadership
Collaboration
Prototyping
Enterprise Software
Customer Impact
Innovation
Research
Programming

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Artificial Intelligence
Python
Optimization
Explainability
Recommendation
Generative AI
Data Tooling
Technical Leadership
Collaboration
Prototyping
Enterprise Software
Customer Impact
Innovation
Research
Programming
Supply Chain
Retail
Life Sciences
Operations Research
Forecasting
Replenishment
AI Techniques
Agentic Systems
LLMs
RAG
Stochastic Methods
Feedback Systems
Intellectual Property
SaaS Products

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