Jobs in Canada

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Added 2 months ago
GenAI Architect
Lantern
Calgary, AB · Edmonton, AB · Vancouver, BC · Toronto, ON
Proficiency in Python and experience with cloud-native development.
Added 2 months ago
Principal Data and Applied Scientist
SAP
Montreal, QC
Hands-on experience with modern GenAI systems RAG, embeddings, vector databases, semantic retrieval, and enterprise knowledge grounding.
Added 2 months ago
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Backend AI Engineer
Nexxa.AI
Remote, Canada
- Full-time
- Remote
Design, build, and maintain backend services and APIs that power GenAI, LLM, and Computer Vision model integrations across Nexxa's products.
Added 2 months ago
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Lead Full-Stack GenAI Engineer
Vancity
Vancouver, BC
- 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 2 months ago
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Software Architect - AI Accelerated Engineering Lead
Slalom
Calgary, AB
- Full-time
Manage GenAI-driven teams: Orchestrate multi-developer environments where AI agents and engineers work side by side - ensuring productivity, quality, and responsible adoption.
Added 3 months ago
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Manager, ML/AI Engineer, Data & AI
KPMG
Calgary, AB · Vancouver, BC · ON · Toronto, Ontario
- Full-time
…recommendation, anomaly detection) using tech stack such as Python and common ML frameworks (e.g., scikit‑learn, TensorFlow, PyTorch, Azure ML Studio, Databricks…
Added 3 months ago
K
Senior Consultant, ML/AI Engineer, Data & AI
KPMG
Calgary, AB · Vancouver, BC · ON · Toronto, Ontario
- Full-time
…recommendation, anomaly detection) using tech stack such as Python and common ML frameworks (e.g., scikit‑learn, TensorFlow, PyTorch, Azure ML Studio, Databricks…
Added 2 months ago
BC
BCG Platinion | Senior AI Tech Consultant, Tech Advisory & Delivery
Boston Consulting Group
Toronto, ON
- $160,000 CAD / year
- Full-time
Added 2 months ago
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Lead Data Scientist
Sanofi
Toronto, ON
- Full-time
AI & GenAI driven transformation of market access and payer strategies
Added 2 months ago
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AI Engineer
Sanofi
Toronto, ON
- Full-time
AI & GenAI driven transformation of market access and payer strategies
Added 2 months ago
RB
AI-First Quality Engineering Lead
Royal Bank of Canada
Toronto, ON
- Full-time
You will partner across technology, product, and platform teams to lead a full shift-left transformation powered by GenAI, intelligent automation, and agentic engineering practices. This is…
Added 2 months ago
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AI-First Quality Engineering Lead
RBC
Toronto, ON
- Full-time
You will partner across technology, product, and platform teams to lead a full shift-left transformation powered by GenAI, intelligent automation, and agentic engineering practices. This is…
Added 2 months ago
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Applied Scientist III, RBKS AI
Amazon
Toronto, ON
- Full-time
…working in the intersection of computer vision, generative AI (GenAI), and ambient intelligence. The team is seeking AI Applied Scientists to work on initiatives that combine advanced…
Added 2 months ago
Senior Software Developer, Manufacturing Data Solutions (Python/SQL)
Sonova AG
Kitchener, ON
As a Senior Software Developer, you will apply your expertise to deliver reliable and scalable data-oriented solutions in a collaborative global environment.
Added 2 months ago
Software Developer, Manufacturing Data Solutions (Python/SQL)
Sonova AG
Kitchener, ON
As a Software Developer, you will apply your expertise to deliver reliable and scalable data-oriented solutions in a collaborative global environment.
Added 2 months ago
A
Robotics - Software Development Engineer
Amazon
Toronto, ON
- Full-time
Leverage and contribute to the development of GenAI and AI-powered tools to enhance development productivity while staying current with emerging technologies.
Added 2 months ago
A
Robotics - Software Development Engineer Intern - 2026 - Toronto
Amazon
Toronto, ON
- Full-time
Leverage and contribute to the development of GenAI and AI-powered tools to enhance development productivity while staying current with emerging technologies.
Added 2 months ago
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Principal Architect, AI Platform
BMO
Toronto, ON · BMOPLACE
- Full-time
You will hold architectural oversight across the AI Platform capabilities including Developer Experience, Security, DevOps, and Data Analytics. You will work across teams and organizations…
Added 2 months ago
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Senior Software Engineer I
Thomson Reuters
Toronto, ON
- Full-time
Backend & AI Skills: Experience building APIs and services with Python as a core language, and working familiarity with GenAI concepts including prompt engineering, agentic system design,…
Added 2 months ago
TR
Staff Software Engineer I
Thomson Reuters
Toronto, ON
- Full-time
Backend Skills & AI Skills: Hands-on experience building APIs and services with Python as a core language, working knowledge of Node.js, and working familiarity with GenAI concepts…
Added 2 months ago
Manager, AI & Data Consulting
Artefact North America
Montreal, QC
Working knowledge of at least one AI platform ecosystem - Google (Gemini), Anthropic (Claude), or OpenAI - and of core GenAI concepts (RAG, agents, context engineering).
Added 2 months ago
Director, AI & Data Science
Artefact North America
Montreal, QC
Contributing to AI Strategy: Partnering with senior leadership to shape GenAI architecture direction, tooling decisions, and platform roadmap within your area.
Added 2 months ago
Director, AI & Agentic Engineering
Artefact North America
Montreal, QC
Contributing to AI Strategy: Partnering with senior leadership to shape GenAI architecture direction, tooling decisions, and platform roadmap within your area.
Added 2 months ago
IF
AI Developer Senior
Intact FC
Toronto, ON · Montreal, QC
- Full-time
We’re looking for a Senior AI Developer to join our growing team!
Added 3 months ago
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Senior Software Developer, LLM Infrastructure
Wealthsimple
Canada
- Full-time
The Machine Learning Infrastructure team builds the core foundation powering AI and GenAI initiatives across Wealthsimple. As our AI footprint expands, our priority is building scalable,…

Artefact North America

Director, AI & Agentic Engineering

Montreal, QC, Canada

Apply on job-boards.greenhouse.io About employer

Applications open in a new tab.

Job details

Posting language: English
Posted: Aug 19, 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.

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 on job-boards.greenhouse.io 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 agentic systems. Additionally, you will partner with clients and business stakeholders to shape proposals, define technical strategy, and oversee the development of scalable AI infrastructure.

Requirements

The ideal candidate possesses 8+ years of experience in software engineering and AI, with specific expertise in LLM architecture, agentic design, and cloud-native systems. A Master's degree in computer science or a related field is required, along with strong leadership skills and experience in pre-sales and client-facing engagements.

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
Software Engineering
Generative AI

Benefits

Competitive benefits

Visa sponsorship

Not detected in the job text

Keywords

AI
Machine Learning
LLM
Agentic Engineering
Consulting
Google Gemini
Vertex AI
RAG
Vector Stores
Fine-tuning
LangGraph
LangChain
TypeScript
React
Python
Kubernetes
CI/CD
Infrastructure as Code
LLMOps
Data Lakes
Data Warehouses
Embeddings
Knowledge Graphs
Microsoft AI Foundry
AWS Bedrock
Predictive Modeling
Deep Learning
GenAI
Software Architecture
Digital Transformation

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Work requirements

Jobs in Canada