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Added 3 months ago
A
AI LLM Technology Architecture
Accenture
Montreal, QC
- Full-time
…design, AI security and trust, AI operations and observability, data and knowledge engineering, or model platforms and inference - serving as the lead authority in your domain across client…
Added 4 months ago
M
Senior Test Automation Developer
MNP
Calgary, Alberta
- Full-time
Make an impact with our Technology - Development team as a Senior Test Automation Developer. This diverse team of tech-savvy builders and problem solvers embraces digital transformation,…
Added 4 months ago
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Payload System Verification & Validation Engineer | Hybrid/Remote Opportunity | Fastwater Staffing
HIKINEX
Remote, Canada
- Full-time
- Remote
Develop test automation scripts and analyze test data using Python, MATLAB, or similar tools.
Added 2 months ago
C
Machine Learning Engineer
Clio
Calgary, AB · Burnaby, BC · Vancouver, BC · Toronto, ON
- Full-time
Collaborate cross-functionally with engineering, product management, operations and data science to identify new ML-driven features for Clio customers
Added 4 months ago
A
Staff Software Engineer, Shared Services ⭐
Achievers
Toronto, ON
- Full-time
Join our Framework team: the engineering foundation that makes Achievers scale.
Added 2 months ago
Analyst, Project Controls
Aecon
Toronto, ON
…utilized. This role will involve development and maintenance of data, dashboards, KPI's and predictive analytics for our Utilities…
Added 1 month ago
Senior ML Data Processing Developer
LawZero
Montreal, QC
We are seeking a Senior ML Data Processing Developer to participate in the development, curation, and scaling of our core data asset pipeline. Sitting at the intersection of data…
Added 4 months ago
P+
Contract Network Communications Software Developer
Pivot + Edge
Gatineau, Quebec
- Contract
…awareness tools, decision assist tools, and a resilient voice and data network underneath it all. Those four basic tools: that’s what we do. Worldwide, more than 500 customers in 150…
Added 4 months ago
Machine Learning Engineer III, Data
ACV
Toronto, Ontario
…Auctions Inc. (ACV), has applied innovation and user-designed, data driven applications and solutions. We are building the most trusted and efficient digital marketplace with data solutions…
Added 4 months ago
Machine Learning Engineer IV, Data
ACV
Toronto, Ontario
…Auctions Inc. (ACV), has applied innovation and user-designed, data driven applications and solutions. We are building the most trusted and efficient digital marketplace with data solutions…
Added 1 month ago
OT
Sr. Systems Administrator
Open Text Corporation
Richmond Hill, ON · Waterloo, ON
- Other
Drive automation using Python, Bash, Terraform, and Ansible for monitoring provisioning, configuration, and remediation.
Added 4 months ago
AI Platform Engineer - DevOps
Staffinity Inc
Halifax, Nova Scotia
Our client is an innovative digital engineering ecosystem focused on building high-performance, efficient, and automated platform services. Rather than managing manual infrastructure…
Added 4 months ago
KC
Forward Deployed AI Engineer
Keyrus Canada
Toronto, ON · Montreal, QC
- Full-time
Typically 5-10 years of relevant experience in AI Engineering, Machine Learning, Software Engineering, Data Engineering, or technical consulting.
Added 4 months ago
P+
Senior Network Communications Software Developer
Pivot + Edge
Gatineau, Quebec
- Full-time
…awareness tools, decision assist tools, and a resilient voice and data network underneath it all. Those four basic tools: that’s what we do. Worldwide, more than 500 customers in 150…
Added 2 months ago
Simulation (Houdini) - Technical Engineer
Sony Pictures Imageworks
Vancouver, BC
Extend the core pipeline by developing, integrating, and supporting tools that manage data flow, asset publishing, and version control.
Added 3 months ago
Développeur(euse) logiciel - Simulation (Houdini) / Simulation (Houdini) - Senior Technical Developer
Sony Pictures Imageworks
Montreal, Quebec
Maîtrise approfondie de Python et VEX pour l'écriture de nœuds personnalisés et efficaces, et de boîte à outils.
Added 4 months ago
HB
Senior DevOps Engineer
Haventree Bank
Toronto, ON
- Full-time
…management, and system monitoring using tools like Terraform and Bash/Python…
Added 2 months ago
N
ML Solutions Architect - Architecte de solutions ML
NBCUniversal
Montreal, QC
- Full-time
Cross-Functional Coordination: Act as the primary technical liaison between technical leadership, customers, and the core engineering team to spec out data and integration requirements.
Added 2 months ago
F
Software Engineer: Full-Stack
Fiscal.ai
Remote, Canada
- Full-time
- Remote
…end Terminal interface for users as well as support backend data…
Added 2 months ago
N
ML Solutions Architect - Architecte de solutions ML
NBCUniversal
Montreal, QC
- Full-time
Cross-Functional Coordination: Act as the primary technical liaison between technical leadership, customers, and the core engineering team to spec out data and integration requirements.
Added 2 months ago
Development & Operations Analyst
CAA Club Group
Markham, Ontario · Thornhill, ON
Good knowledge in scripting languages with Shell and Python
Added 4 months ago
U
Security Specialist – Digital Fraud
Ubisoft
Montreal, Quebec
- Full-time
…modern detection tools, you will partner with teams across Data, Engineering, Product, and Production to strengthen fraud prevention capabilities and respond to emerging threats. Your work…
Added 4 months ago
G
Développeur(se) d'automatisation et d'infrastructure - Infrastructure & Automation Developer
Gameloft
Montreal, Quebec
- Full-time
We are looking for a talented FinOps Developer to join our team. This role focuses on automating the retrieval, validation, and reporting of infrastructure, software, database, and…
Added 4 months ago
M
Senior Systems MTS, Synthetic Aperture Radar (SAR) Missions
MDA
Richmond, British Columbia
- Full-time
…mission – bringing to bear a one-of-a-kind mix of experience, engineering excellence and wide-eyed wonder that’s been in our DNA since day one. For those who dream big and push boundaries…
Added 4 months ago
M
AI Engineer
Morningstar
Toronto, Ontario
- Full-time
We operate with a strong engineering culture: we question assumptions, prioritize impact over process, and focus on solving meaningful problems rather than executing predefined tasks.…

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 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

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More about this job

Responsibilities

Architect enterprise AI strategies and target-state architectures for Agentic and Generative AI solutions. Lead executive discovery initiatives and develop AI governance models to move organizations from experimentation to operational adoption.

Requirements

Requires a degree in Computer Science or a related field with over 7 years of experience in AI, Data, or Software Engineering, including 2 years in Generative AI. Must possess strong consulting experience and technical proficiency in Python and cloud-native AI services.

Skills

AI Strategy
Solution Architecture
Generative AI
Agentic AI
RAG Pipelines
AI Governance
Python
Executive Advisory
LangChain
LangGraph
AWS Bedrock
Azure OpenAI
Multi-agent Workflows
Business Process Assessment
Technical Feasibility Analysis
Stakeholder Management

Benefits

Group Insurance
RRSP Participation Plan
DPSP Participation Plan
Monthly Wellness Allowance
Flexible Work-from-home Policy
4 Weeks Paid Vacation
Language Courses
Continuous Learning Access
Individual Development Plans
Coaching Opportunities

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
Agentic AI
RAG
LangChain
LangGraph
AWS Bedrock
Azure OpenAI
Anthropic Claude
Microsoft Copilot
Copilot Studio
MCP
Python
Vector Databases
AI Governance
Responsible AI
AWS Solutions Architect
Salesforce Agentforce
Microsoft AI
Azure AI
GDPR
EU AI Act
React
API
Semantic Search
Hybrid Search
Enterprise Architecture
AI Maturity Assessment
Business Case Development
Human-in-the-loop

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