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Added 1 month ago
V
Software Manager, MachineLogic / Gestionnaire, génie logiciel (MachineLogic)
Vention
Montreal, QC
- Full-time
Carry the agentic vision for MachineLogic. Partner with Product to define the roadmap that moves machine programming from expert work to an assisted experience, then an autonomous one:…
Added 1 month ago
D
Technical Lead/Solution Architect, Microsoft Dynamics 365
Deloitte
Vancouver, BC
- Full-time
Ensure performance optimization, caching strategies, and security hardening across platforms.
Added 1 month ago
S
Senior Software Engineer, Frontend
Sardine
Remote, Canada
- $160,000 to $210,000 CAD / year
- Full-time
- Remote
Sardine is the leading agentic risk platform for fighting financial crime. Our integrated solution unifies data across risk teams to help organizations stop fraud in real time, prevent…
Added 1 month ago
Associate, Direct Activation
WPP Media
Toronto, ON
…and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational…
Added 1 month ago
GM
Staff Engineer, Site Reliability Engineering
General Motors
Markham, ON
- Full-time
…that transformation, powering safety, personalization, energy optimization, operational decision-making, and connected customer…
Added 1 month ago
AI Applied Engineer, Business Solutions
OpenTable
Toronto, ON
…including LLM integrations, retrieval-augmented generation (RAG), agentic workflows, and automated system triggers - that optimize daily…
Added 2 months ago
D
Senior Software Engineer
Deltek
Calgary, AB
- $100,000 to $120,000 CAD / year
- Full-time
Evaluate and implement agentic AI tools that enhance developer workflows, including automated test generation, intelligent code review assistance, and deployment automation
Added 2 months ago
Director, AI & Data Science (Marketing Measurement & Effectiveness)
Artefact
Montreal, QC
…vocabulary - comfortable across the wider toolkit: forecasting, optimization, experimentation platforms, and applied GenAI, with experience shipping generative AI or agentic AI applications…
Added 2 months ago
PR
Senior/Principal LLM & Evals Engineer
Perennial Resources International
Toronto, ON
- $160,000 to $180,000 USD / year
- Full-time
Apply fine-tuning, supervised learning, preference optimization, synthetic-data generation, and related techniques where they provide measurable improvements.
Added 1 month ago
SF
AI Native Quality Engineer
Safe Fleet
Coquitlam, BC
- Full-time
Implement cost-control, latency optimization, and retry-logic strategies for production-grade agentic pipelines.
Added 2 months ago
FC
Senior Analyst, Multi-Asset Class Solutions
Fiera Capital
Montreal, QC
- Full-time
…and Strategy PMs, using our proprietary risk factor-based ALM optimization tool…
Added 2 months ago
Director, AI & Data Science
Artefact
Montreal, QC
AI & ML Solution Architecture: Leading the design, build, and optimization of production AI systems - classical machine learning models, LLM applications, and agentic systems - ensuring…
Added 2 months ago
Director, AI & Agentic Engineering
Artefact
Montreal, QC
AI & ML Solution Architecture: Leading the design, build, and optimization of production AI systems - classical machine learning models, LLM applications, and agentic systems - ensuring…
Added 2 months ago
C
Senior Design Verification Engineer
Cognichip
Toronto, ON
- $150,000 to $180,000 CAD / year
- Full-time
Our platform combines large proprietary models, agentic workflows, domain-specific engineering intelligence, and high-performance simulation infrastructure to accelerate one of the world's…
Added 1 month ago
I
Lead Applied AI and Data Scientist | IFS Copperleaf
IFS
Vancouver, BC
- Full-time
IFS Copperleaf’s mission is to make every capital decision explainable, defensible, and agentic, moving our platform from a system of record to a system of action. The Lead Applied AI and…
Added 2 months ago
FV
Senior Software Engineer
Forum Ventures
ON
- Full-time
…strategy. We are moving beyond traditional polling to give teams an agentic interface that delivers actionable results in under two minutes - empowering data-driven decision-making at the…
Added 2 months ago
BO
Feature Lead – Technology
Bank of America
Toronto, ON
- $141,100 to $165,000 USD / year
- Full-time
Experience adopting and scaling AI-enabled engineering practices, intelligent automation, agentic workflows, developer productivity tools, and software delivery optimization.
Added 2 months ago
N
AI Vision Engineer
Nexxa.AI
Remote, Canada
- Full-time
- Remote
Familiarity with data annotation workflows, dataset curation, hyperparameter optimization, and inference optimization.
Added 1 month ago
FC
Senior Analyst, Multi-Asset Class Solutions
Fiera Capital
Montreal, QC
- Full-time
…and Strategy PMs, using our proprietary risk factor-based ALM optimization tool…
Added 4 months ago
AM
3D IC and ADVANCED PACKAGING CAD ENGINEER
Advanced Micro Devices, Inc
Markham, ON
- Full-time
…element creation, port assignment and pattern generation, tile optimization, clock and power distribution, high-performance bus implementation, and timing budgeting. We evaluate, procure,…
Added 1 month ago
BC
BCG Platinion | Senior AI Tech Consultant, Tech Advisory & Delivery
Boston Consulting Group
Toronto, ON
- $160,000 CAD / year
- Full-time
AI and Agentic native. They are versed in the latest AI and Agentic technologies and methodologies and leverage them daily to deliver high impact outcomes and tackle difficult challenges.
Added 2 months ago
S
Lead Data Scientist
Sanofi
Toronto, ON
- Full-time
Lead the design, development, deployment, and scaling of enterprise AI, Machine Learning, Generative AI, and Agentic AI solutions that drive measurable business value across Commercial…
Added 2 months ago
S
AI Engineer
Sanofi
Toronto, ON
- Full-time
Design, develop, deploy, and support scalable Generative AI and Agentic AI solutions aligned with strategic priorities across Sanofi's Global Business Units
Added 2 months ago
S
Principal Consultant - Cybersecurity & Agentic AI
Synechron
Toronto, ON · Greater Toronto Area, Canada
- $130,000 to $145,000 CAD / year
- Full-time
…digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software…
Added 2 months ago
PX
Consultant, Data Scientist (Cortex AI)
Project X Ltd.
Toronto, ON
- Full-time
Feature engineering, selection and optimization models with ML techniques.

Artefact

Director, AI & Data Science

Montreal, QC, Canada

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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 Data Science and machine learning background with 8+ years of experience, including at least 2–3 years working on LLM architecture, agentic design, and harness & context engineering.
Expertise in generative AI/LLM engineering (context engineering, agent harnesses, RAG, and fine-tuning) and in classical machine learning modeling, with proven production deployments.
Master’s degree (or higher) in computer science, engineering, statistics/mathematics, or a related field.
Hands-on command of core machine learning libraries (scikit-learn, XGBoost, etc.), agentic SDKs (LangGraph/LangChain, Google ADK, Claude Agent SDK), and fine-tuning frameworks (PyTorch, TensorFlow).
Experience building fine-tuning pipelines end to end: training data curation, supervised fine-tuning, evaluation, and deployment.
Solid grasp of AI system design: ML model lifecycle (MLOps), agents, tool use, evaluation harnesses, guardrails, and observability.
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:

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.

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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 business stakeholders to shape proposals, define technical strategy, and oversee the end-to-end lifecycle of AI systems.

Requirements

The ideal candidate possesses 8+ years of experience in data science and machine learning, with at least 2-3 years specifically focused on LLM architecture and agentic design. A master's degree or higher in a quantitative field is required, along with proven expertise in production deployments and team leadership.

Skills

AI Strategy
Machine Learning
LLM Architecture
Agentic Design
Context Engineering
RAG
Fine-tuning
Google Vertex AI
Python
PyTorch
TensorFlow
MLOps
Team Leadership
Pre-sales
Solution Architecture
Data Science

Benefits

Competitive benefits

Visa sponsorship

Not detected in the job text

Keywords

AI
Data Science
Machine Learning
LLM
Generative AI
Agentic Systems
RAG
Fine-tuning
Google Gemini Enterprise
Vertex AI
Microsoft AI Foundry
AWS Bedrock
MLOps
Predictive Modeling
Deep Learning
LangGraph
LangChain
Scikit-learn
XGBoost
Consulting
Digital Transformation
Solution Architecture
Data Engineering
Business Development
Agile Methodologies
Context Engineering
Observability
Guardrails
Data Curation
Deployment

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