Jobs in Canada

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Added 25 days ago
TT
Senior SRE / Observability Engineer – IA & AI Ops - Bilingual
Tech Talent International
Montreal, QC
- $110,000 to $120,000 CAD / year
- Full-time
Location: Hybrid - Montreal, QC -(2/3 days per week onsite)
Added 25 days ago
S
Enterprise Architect
Synechron
Mississauga, ON
- $180,000 to $210,000 CAD / year
- Full-time
…the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization…
Added 25 days ago
MR
Women in Tech Program - Global IT Co-op (Winter 2027 - Toronto, 4 months)
Munich Re
Toronto, ON
- Full-time
Supporting AI projects (Machine Learning and GenAI) by actively collaborating with project teams
Added 28 days ago
Software Engineer II
Planview Incorporated
Vancouver, BC
Work alongside data scientists to implement and iterate on insights, turning data science Python code and LLM-based logic into reliable production capabilities. Write evals while also…
Added 28 days ago
AI Data Scientist
Conga
Canada
Develop and evaluate LLM and GenAI solutions using prompting, RAG, embeddings, vector search, fine-tuning, agents, and structured generation.
Added 28 days ago
C
Développeur/Développeuse GenAI / IA Générative | GenAI / Generative AI Developer
Cossette
Montreal, QC
- Full-time
Solides compétences en Python dans un contexte ML/AI, et bonne maîtrise de JavaScript / TypeScript pour l'intégration et le déploiement web.
Added 28 days ago
NT
Senior MLOps Engineer
Nöord Technologies
Montréal-Est, QC
- Full-time
API Development & Python Engineering: Design and develop REST and MCP APIs, alongside senior-level Python development across the full data and ML stack.
Added 28 days ago
S
GenAI Python Developer
Synechron
Montreal, QC
- $80,000 to $90,000 CAD / year
- Full-time
We are looking for a skilled GenAI Python Developer with strong experience in Generative AI, Retrieval-Augmented Generation (RAG), Python API development, and databases. The ideal candidate…
Added 29 days ago
L
ModiFace - DevOps Developer
L'Oréal
Toronto, ON
- Full-time
Note: This is a Hybrid positions, you will need to commute to our downtown office minimum 2 days per week with possibility of 3 days per week
Added 29 days ago
C
Director, Chapter Lead, Media Analytics
CIBC
Toronto, ON
- Full-time
Lead measurement, experimentation, and optimization across the media ecosystem - Oversee the design, implementation, and ongoing evaluation of analytics frameworks, models, and…
Added 29 days ago
R
Data Scientist III
Raise
Toronto, ON
- Full-time
Proficient in Python for data science and GenAI application development
Added 29 days ago
A
Azure Enterprise Architect - Full Stack & AI Solutions (Canada)
Avanade
Toronto, ON
- Full-time
We are seeking a highly experienced Azure Enterprise Architect with a strong full stack engineering background and deep expertise in Microsoft Azure cloud architecture, enterprise…
Added 1 month ago
T
Full Stack Developer
TEKsystems
Toronto, ON
- $80 to $90 CAD / hour
- Contract
Python, TypeScript, React, AWS, REST / Swagger, Docker; knowledge of AI concepts (GenAI, RAG) and MLOps best practices.
Added 1 month 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 1 month ago
KC
Forward Deployed AI Engineer
Keyrus Canada
Toronto, ON · Montreal, QC
- Full-time
📍 Location: Hybrid – Toronto or Montreal, Canada (2 days per week at the office)
Added 1 month ago
KG
Principal Data Solutions Architect- AI/ML
K&K Global Talent Solutions INC.
Toronto, ON
- Full-time
Assess candidate use cases with business, technology, data, and risk stakeholders; recommend BI, rules, analytics, ML, or GenAI based on feasibility, risk, cost, and measurable business…
Added 1 month ago
A
Senior Data Scientist - AI/ML
Akkodis
Toronto, ON
- Contract
The successful candidate will leverage expertise in data science, machine learning, and GenAI technologies to design, develop, and deploy innovative solutions that create measurable…
Added 1 month ago
A
Senior Data Engineer - Temporary
ARC'TERYX
North Vancouver, BC
- Full-time
This position is based out of our North Vancouver office and is open to hybrid, remote work. Candidates must be eligible to work in Canada.
Added 1 month ago
B
Senior Data Scientist – Generative AI & Machine Learning
Bevertec
Toronto, ON
- Contract
Strong hands-on Python programming skills for machine learning and GenAI applications.
Added 1 month ago
F
Technical Consultant (Data & AI)
Fastloop
Vancouver, BC
- Full-time
…responsible for the programmatic development of Agentic workflows, GenAI pipelines, and the cloud-native infrastructure that powers them and the integration of these systems into existing…
Added 1 month ago
H
Data Scientist
Hays
ON · Ontario, Canada
- $60 to $62 CAD / hour
- Contract
Proficient in Python for data science and GenAI application development
Added 1 month ago
TI
Data Scientist
TekStaff IT Solutions
ON · Ontario, Canada
- Contract
· Proficient in Python for data science and GenAI application development
Added 1 month ago
TT
Oracle AI Architect
Tech Talent International
Brampton, ON
- Contract
Location: Hybrid, 2-3 days in office, Brampton, ON, Canada
Added 1 month ago
TH
AI Engineer | Full time | AI Innovations
Trillium Health Partners
ON · ON, Canada
- Full-time
…Comprised of the Credit Valley Hospital, the Mississauga Hospital and the Queensway Health Centre, along with several satellite locations, THP serves the growing and diverse populations of…
Added 1 month ago
ZT
Computer Vision Software Developer, Professional II- Développeur ou Développeuse de Logiciels en Vision par Ordinateur II
Zebra Technologies
Montreal, QC · CAN - Montreal, Canada
- Full-time
***Ce poste nécessite d'être sur place au bureau de Montréal, Canada (mode hybride – un minimum de 3 jours par semaine au bureau).***

Keyrus Canada

Forward Deployed AI Engineer

140 John St, Toronto, ON, M5V 2E4, Canada
1396 Sainte-Catherine O, Montreal, QC, H3G 1P8, Canada

Full-time

Apply on jobsen.keyrus.ca About employer

Applications open in a new tab.

Job details

Job type: Full-time
Experience: Typically 5-10 years of relevant experience in AI Engineering, Machine Learning, Software Engineering, Data Engineering, or technical consulting.
Posting language: English
Posted: Jun 10, 2026

Original job description

⭐ Why Keyrus, Why Now!

Keyrus is an international group of 2,800 consultants and experts across 28 countries, built on a single conviction: AI does not transform businesses. Architected intelligence does. For more than 30 years, we have been building the data foundations that make intelligent systems work - designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value: we operationalise intelligence.

AI does not replace humans. It repositions us to a place no system can follow: understanding, deciding, designing, and creating. At Keyrus, you will not just develop skills - you will develop judgment. Your expertise sharpens with every AI strategy you define, every architecture you design, and every executive decision you help shape.

Over time, you grow into one of the rarest professionals of the intelligence era: someone who bridges business strategy, data, AI, and human decision-making at scale. This is not a role you fill. It is a discipline you master and a story you help write to become a Keyrus Architect of Intelligence.

Technology amplifies. Keyrus culture differentiates. Industrial discipline connects the two.

📍 Location: Hybrid – Toronto or Montreal, Canada (2 days per week at the office)
💼 Contract: Permanent, Full-time

We are currently building our talent pipeline for upcoming Forward Deployed AI Engineer opportunities in Canada. While we may not have an immediate opening today, we are actively connecting with strong profiles as we anticipate future needs across our client engagements. If your experience aligns with the role below, we encourage you to apply. Our Talent Acquisition team may reach out as relevant opportunities arise.

WHAT YOU'LL ARCHITECT:

As a Forward Deployed AI Engineer, you work at the heart of a client's most pressing AI challenges, turning intent into an operational, measurable result in weeks rather than months. This is an experienced individual-contributor role for someone who combines hands-on engineering, architectural judgment, and business understanding.

You own the problem from ambiguity through to execution, understanding the real context, building and deploying the solution, and proving, not declaring, that it creates value. Once the terrain is understood, you become the reference the team relies on to make that result last:

Co-create solutions with business and technical stakeholders through workshops, rapid iterations, and hands-on delivery.
Locate, qualify, and secure access to the data required for each use case, working directly with the Data Engineer.
Translate use cases into production-ready GenAI and agentic AI solutions, including RAG architectures, intelligent assistants, and AI-enabled workflows.
Prototype, test, deploy, monitor, and improve solutions in real client environments using feedback from users and domain experts.
Work with Data Engineers, Software Engineers, Foundations Architects, Governance experts, Business Value Advisors, and Service Delivery Managers to deliver sustainable outcomes.
Balance speed, quality, cost, security, and maintainability while making clear technical and delivery trade-offs.
Define success criteria from the outset, including adoption, performance, reliability, risk, cost, and measurable business value.
Ensure solutions are documented, governed, and transferable so clients can operate them with confidence.
Turn successful delivery into reusable patterns, accelerators, and building blocks that strengthen future engagements.

WHO YOU ARE:

You are a hands-on engineer who thinks like an architect and acts like a builder.

You enjoy solving operational challenges, not only exploring technical concepts.
You communicate clearly with both technical teams and senior business stakeholders.
You navigate ambiguity with confidence, validate assumptions, and adapt quickly.
You take ownership of outcomes and raise risks or changing priorities early.
You understand that AI value depends on the full system: data, workflows, governance, adoption, and measurement.
You naturally look for what can be reused, improved, and scaled.

WHAT YOU BRING:

Qualifications / Certifications

Typically 5-10 years of relevant experience in AI Engineering, Machine Learning, Software Engineering, Data Engineering, or technical consulting.
Hands-on experience delivering AI, GenAI, or software solutions into production.
Experience working directly with clients or in complex stakeholder environments.
Evidence of turning complex use cases into adopted measurable solutions.
A degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related field - or equivalent practical experience.

Technical Skills

Strong Python development skills, API integration experience, and solid software-engineering practices.
Hands-on experience with LLMs and GenAI, including RAG, embeddings, vector search, AI agents, and agentic workflows.
Familiarity with AI frameworks such as LangChain, LlamaIndex, LangGraph, Semantic Kernel, AutoGen, or similar.
Experience integrating and deploying AI solutions within enterprise environments and on cloud platforms (Azure, AWS, or GCP).
Working knowledge of Docker, Git, CI/CD, MLOps/LLMOps, monitoring, security, data privacy, governance, and responsible AI principles.

WHAT WE OFFER AT KEYRUS:

A stimulating environment where you will be able to surpass yourself and discover new horizons
A strong culture of innovation and entrepreneurship
Team celebrations, social events, birthdays, breakfasts, and special activities
Group insurance for you and your family members
RRSP and DPSP participation plans
Monthly Wellness Allowance
Telecommunication reimbursement
Flexible work-from-home policy
4 weeks of paid vacation
Language courses (French & English)
Access to continuous learning through conferences, certifications, training programs, and industry events
Individual development plans and coaching opportunities

The expected base compensation for this position ranges from $115,000 to $130,000 CAD, depending on experience, skills, location, and internal equity. This salary range is provided as a guideline and may be adjusted for the selected candidate.

ABOUT KEYRUS

At Keyrus, we help organizations move from experimental AI to industrialized AI, from isolated agents to orchestrated systems, and from insight to execution. This is the discipline we call being an Architect of Intelligence. Designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value: we operationalize intelligence.

Powered by our proprietary Human Orchestrated Model™ (HOM), we architect reliable:

Intelligence Foundations
Human in Command governance
Performance Steering

To create intelligent environments where technology amplifies human capabilities and performance compounds over time.

With 30+ years of expertise and 2,800 employees across 28 countries, we help organizations go beyond transformation: to build adaptive, resilient, and continuously improving intelligent organizations.

AI does not transform businesses. Architected intelligence does.

Keyrus is listed on Euronext Growth Paris. (ALKEY – ISIN Code: FR0004029411 – Reuters: KEYR.PA – Bloomberg: ALKEY: FP).

For more information: www.keyrus.com

Apply on jobsen.keyrus.ca About employer

More about this job

Responsibilities

The Forward Deployed AI Engineer will co-create and deploy production-ready GenAI and agentic AI solutions by working directly with business and technical stakeholders. They are responsible for the full lifecycle of AI projects, from data qualification and prototyping to deployment, monitoring, and ensuring sustainable business value.

Requirements

Candidates should have 5-10 years of experience in AI, software, or data engineering with a strong background in Python and LLM frameworks. A degree in Computer Science, Engineering, or a related field is required, along with proven experience in delivering complex AI solutions in production environments.

Skills

Python
LLMs
GenAI
RAG
AI agents
Vector search
LangChain
LlamaIndex
Docker
Git
CI/CD
MLOps
LLMOps
Cloud platforms
Data engineering
Software engineering

Benefits

Group insurance
RRSP participation
DPSP participation
Monthly wellness allowance
Flexible work-from-home policy
Paid vacation
Language courses
Continuous learning access
Coaching opportunities

Visa sponsorship

Not detected in the job text

Keywords

AI Engineering
Machine Learning
Software Engineering
Data Engineering
GenAI
RAG
AI Agents
LangChain
LlamaIndex
LangGraph
Semantic Kernel
AutoGen
Azure
AWS
GCP
Docker
Git
CI/CD
MLOps
LLMOps
Data Privacy
Governance
Responsible AI
Python
API Integration
Technical Consulting
Architect of Intelligence
Human Orchestrated Model

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Work requirements

Jobs in Canada