Find work in Canada.

555,393 jobs across our Canadian network. How we count

Jobs in Canada

Email me new jobs Save this search

Added 2 months ago
AC
Full Stack Engineer Remote
Alexander Chapman
Canada
- Full-time
Build and scale backend systems, APIs, and data infrastructure using Python, FastAPI, PostgreSQL, and GCP
Added 2 months ago
Senior Solutions Architect, ISV Canada
Amazon
Toronto, ON
- Experience with scripting, automation, and software development in multiple languages (Python, JavaScript, Java, etc.)
Added 2 months ago
Senior Consultant - Fraud Analytics
EY
Toronto, ON
Proficiency in SQL and experience with at least one analytical programming language or platform, such as Python, R, or SAS.
Added 2 months ago
F
Manager, Risk Modelling & Analytics, Forecasting
Financeit
Remote, Canada
- Full-time
- Remote
4+ years of applied experience in building models (Python, Excel), data pipelines (dbt, SQL, Airflow), and/or automating processes would be a strong asset
Added 2 months ago
I
Application Architect
IBM
Ottawa, ON
- $129,000 to $180,000 CAD / year
- Full-time
Ability to read and reason about production code (e.g., C++, Ada, Python).
Added 2 months ago
G
May 2027 Geographic Information Systems (GIS) Co-op
Glencore
Calgary, AB
- Full-time
Familiarity with FME and AutoCAD as well as programming skills in in Python, Arcade, and SQL are an asset.
Added 2 months ago
PG
AI Engineer
Pinpoint Global Communications
Canada
- Full-time
Fluency across popular languages and frameworks: Python, JavaScript, TypeScript, .NET, NextJS
Added 2 months ago
FC
Senior Analyst, Multi-Asset Class Solutions
Fiera Capital
Montreal, QC
- Full-time
Previous experience of Microsoft Excel, Python, VBA, MATLAB, C++ or other programming languages and ease of operation of agentic AI tools, acute interest in financial risk management and…
Added 2 months ago
OM
Manager, Data Science
Omnicom Media
Toronto, ON
- Full-time
Proficiency in Python or R, and comfort working with media, sales, or consumer dataset types.
Added 2 months ago
HT
Senior Data Analyst / BI Analyst
High Tech Genesis
Ottawa, ON
- Contract
Python scripting experience, particularly for data analysis, text analytics, automation, or future AI-related initiatives.
Added 2 months ago
EV
May 2027 Geographic Information Systems (GIS) Co-op
Elk Valley Resources
Calgary, AB
- $4,275 to $5,517 CAD / month
- Full-time
Familiarity with FME and AutoCAD as well as programming skills in in Python, Arcade, and SQL are an asset
Added 2 months ago
V
Full Stack Engineer
Vantage
Remote, Canada
- $115,000 to $145,000 CAD / year
- Full-time
- Remote
Proficiency with Python and Django (DRF and classic).
Added 2 months ago
C
Senior Software Developer (Toronto)
Clio
Toronto, ON
- Full-time
We are currently seeking a Senior Software Developer to join our rapidly growing Engineering team. This role is for someone who is passionate about building innovative solutions and being…
Added 2 months ago
C
AI Developer
Calliere
Toronto, ON
- Full-time
A leading North American financial institution is seeking an AI Developer to build software solutions that incorporate artificial intelligence and machine learning capabilities. The…
Added 2 months ago
Director, AI & Data Science
Artefact
Montreal, QC
Added 2 months ago
Director, AI & Agentic Engineering
Artefact
Montreal, QC
…modern full-stack frameworks (TypeScript/React front ends; Python/Node…
Added 2 months ago
V
Systems Engineer
VueReal
Waterloo, ON
- Full-time
Software development in Python, C/C++, C#, JavaScript/TypeScript, or similar, and a track record of building engineering tools, back end services, and user interfaces for test, calibration,…
Added 2 months ago
Senior Software Test Engineer
Coursera Sourcing
Toronto, ON
Programming or scripting language proficiency (JavaScript, Java, Python)
Added 2 months ago
Manager- Finance Optimization- Financial Accounting and Advisory Services- Assurance
EY
Toronto, ON
Added 2 months ago
Senior Data Analyst
Clutch Technologies Inc.
Toronto, ON
Added 2 months ago
M
Forward Deployed Engineering, US Oncology
McKesson
Mississauga, ON
- Full-time
Hands-on experience with React, Node.js, TypeScript, Python, and modern web application architecture.
Added 2 months ago
C
Senior Software Engineer, AI
Calabrio
Canada
- Full-time
Strong experience with Python and backend frameworks such as Flask or Django for building production APIs and AI services.
Added 2 months ago
I
Technical Engineering Seller Intern – Entry Level Sales Program 2027
IBM
Toronto, ON
- $81,600 to $115,200 CAD / year
- Full-time
Experience with at least one programming language such as Python, Java, JavaScript, C++, or similar.
Added 2 months ago
I
Spécialiste technique prévente – Stagiaire Programme de vente pour les talents en début de carrière 2027
IBM
Montreal, QC
- $81,600 to $115,200 CAD / year
- Full-time
Experience with at least one programming language such as Python, Java, JavaScript, C++, or similar.
Added 2 months ago
I
Technical Engineering Seller Intern – Entry Level Sales Program 2027
IBM
Calgary, AB
- $81,600 to $115,200 CAD / year
- Full-time
Experience with at least one programming language such as Python, Java, JavaScript, C++, or similar.

Artefact

Director, AI & Agentic Engineering

Montreal, QC, Canada

Apply About employer

Applications open in a new tab.

Job details

Posting language: English
Posted: Aug 24, 2026

Original job description

About the job

Do you think like a management consultant, thrive in a startup environment, and can’t stop thinking about the intersection of data, technology, and marketing?

With over 2000 employees, offices on five continents, and world-class clients like Samsung, L’Oreal, and Mattel, Artefact is a consulting firm that transforms data into value and business impact. We’ve recently launched in the US with offices located in NYC and Los Angeles, and we want you to join us as an integral part of our founding team!

Who We Are

Founded and headquartered in Paris, Artefact is a next-generation consulting firm, specializing in data, analytics & AI consulting, dedicated to transforming data into business impact across the entire value chain of organizations. We are proud to say that we help our clients grow their data and digital capabilities, and that we’re also growing in parallel.

We have 2000 employees across 36 offices who are focused on accelerating digital transformation. Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts are all dedicated to bringing extra value to every client. We design data-based solutions to meet our clients' specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we've acquired with our 1000+ client base around the globe.

Find out more at artefact.com.

What you will be doing

You will lead a team of AI & machine learning engineers and managers, driving the design and delivery of production-grade AI solutions - from classical machine learning models to LLM-powered applications - and the pipelines that power them. You’ll bring senior technical judgment to architecture and model decisions, partner closely with clients and business stakeholders - including hands-on pre-sales work shaping proposals and solution designs - and define how context engineering, agent harnesses, and fine-tuning practices get embedded into every solution, while reporting into senior AI/technology leadership on strategy and priorities.

AI & ML Solution Architecture: Leading the design, build, and optimization of production AI systems - classical machine learning models, LLM applications, and agentic systems - ensuring scalability, reliability, and cost-efficient inference.
Context Engineering: Defining and standardizing context engineering practices - prompt and system design, RAG architectures, vector stores, memory management, and tool/function calling - so models receive the right information at the right time.
Harness Engineering: Directing the build of robust agent harnesses - orchestration layers, evaluation frameworks, guardrails, and observability - that make LLM systems reliable, safe, and measurable in production.
Fine-Tuning Pipelines: Leading the design and operation of fine-tuning and model adaptation pipelines - training data curation, supervised fine-tuning, evaluation, and deployment - to specialize models for client use cases.
Platform Stack: Architecting and deploying solutions on Google Gemini Enterprise and Vertex AI as the primary stack, applying working knowledge of Microsoft AI Foundry and AWS Bedrock where client contexts require.
Team Leadership: Managing, mentoring, and developing a team of AI & ML engineers; setting technical standards and fostering best practices and knowledge sharing.
Pre-Sales & Business Development: Supporting pre-sales activities - scoping engagements, building demos and proofs of concept, and presenting solution architectures to prospective clients alongside account teams.
Machine Learning Modeling: Overseeing the development of classical and modern ML models - predictive modeling, forecasting, recommendation, and deep learning - choosing the right technique for each business problem, LLM or not.
Contributing to AI Strategy: Partnering with senior leadership to shape GenAI architecture direction, tooling decisions, and platform roadmap within your area.

What we are looking for

The ideal candidate has a substantial software engineering and AI background with 8+ years of experience, including at least 2–3 years working on LLM architecture, agentic design, and harness & context engineering.
Strong expertise in generative AI/LLM engineering - context engineering, agent harnesses, RAG, and agentic coding - and in cloud-native software architecture, with proven production deployments.
Master’s degree (or higher) in computer science, software engineering, or a related field.
Hands-on command of agentic SDKs (LangGraph/LangChain, Google ADK, Claude Agent SDK), agentic coding tools (Claude Code, Gemini CLI, Cursor), and modern full-stack frameworks (TypeScript/React front ends; Python/Node backends).
Experience designing cloud architectures: microservices, serverless, containers/Kubernetes, CI/CD, and infrastructure as code.
Solid grasp of AI system design: agents, tool use, evaluation harnesses, guardrails, observability, and LLMOps.
Experience with data & context modeling and ingestion/processing pipelines on data lakes and data warehouses, including vector and graph storage strategies (embeddings, knowledge graphs).
Deep experience with Google Gemini Enterprise / Vertex AI; basic working knowledge of Microsoft AI Foundry and AWS Bedrock.
Experience leading and growing engineering teams, and supporting pre-sales: proposals, demos, and solution scoping with clients.
Excellent communication skills and comfort collaborating across teams and with stakeholders.
Strong business acumen with an interest in business-facing work.
Adaptability and a start-up mentality to thrive in a dynamic environment.

Preferred:

Experience with multi-agent systems, tool-calling protocols (e.g. MCP), and LLM observability/evaluation tooling
Google Gemini Enterprise ecosystem (Vertex AI, Agent Builder) as the primary stack; basic knowledge of Microsoft AI Foundry and AWS Bedrock

Why Join Us

We are united by our values and strengthened by our hybrid expertise.

There is always a way: We're from the breed of does, of diggers, of makers. Because ideas are valuable only if executed.
Client trust is won on the field: Addressing client needs flows better hands on at their side.
If not used, it is useless: Our love for technology translates into a steep desire for adoption, true brilliance is about impact.
If not shared, our work is not done: Sharing knowledge is the best way to button up a mission, benefitting clients and colleagues.
We learn everyday: Tech is a land where everything moves at the speed of light, you better be ready to challenge yourself.

The estimated base compensation for this role starts at $200,000 (NYC location). Individual compensation is determined by skills, qualifications, and experience. In addition, this role is eligible for competitive benefits.

Apply About employer

More about this job

Responsibilities

You will lead a team of AI and machine learning engineers to design and deliver production-grade AI solutions, including classical models and LLM-powered applications. Additionally, you will partner with clients and business stakeholders to shape proposals, define technical strategy, and oversee the implementation of agentic systems.

Requirements

The role requires over 8 years of software engineering and AI experience, with at least 2-3 years specifically in LLM architecture and agentic design. A Master's degree or higher in computer science or a related field is required, along with hands-on expertise in cloud-native architectures and modern AI frameworks.

Skills

AI Engineering
Machine Learning
LLM Architecture
Agentic Design
Context Engineering
RAG
Google Vertex AI
Python
TypeScript
Cloud Architecture
Team Leadership
Pre-sales
Data Engineering
Prompt Engineering
LLMOps
Software Engineering

Visa sponsorship

Not detected in the job text

Keywords

AI
Machine Learning
LLM
Agentic Systems
RAG
Google Gemini
Vertex AI
LangGraph
LangChain
Python
TypeScript
React
Kubernetes
CI/CD
Infrastructure as Code
Data Lakes
Vector Stores
Knowledge Graphs
LLMOps
Consulting
Generative AI
Software Architecture
Microservices
Serverless
Predictive Modeling
Deep Learning
Business Development
Cloud Computing
Data Engineering
Prompt Engineering

Report this job