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Added 1 month ago
Senior AI / ML Engineer
MCI Careers
Canada
Other
We are seeking a highly experienced Senior AI / Machine Learning Engineer to lead the design, development, and deployment of advanced AI and machine learning solutions that drive innovation…
Added 3 months ago
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 25 days ago
Senior Staff Machine Learning Engineer, Menu Personalisation
HelloFresh
Toronto, ON
Operate what you build, instrumenting and improving your systems in production because shipping is the beginning of the learning cycle, not the end of it.
Added 3 months ago
Senior Data Platform Engineer
Helcim Inc
Calgary, Alberta
Drive and own the advancement of Helcim’s MLOps and AI Gateway infrastructure, actively pushing these capabilities forward to support production AI and machine learning models.
Added 3 months ago
Senior Machine Learning Engineer, AI Generation Engine
SandboxAQ
Remote, Canada
$119,000 to $210,000 CAD / year
Full-time · Remote
SandboxAQ's AI Generation Engine (SAIGE) team is seeking a highly accomplished Machine Learning Engineer to take ownership of the end-to-end ML lifecycle, from initial data exploration and…
Added 17 days ago
Staff Software Engineer, Machine Learning Platform
Stripe
Toronto, ON
…tremendous amount of data makes Stripe one of the best places to do machine learning. While being an integral part of almost every product line at Stripe (e.g., Payments, Radar, Capital,…
Added 17 days ago
DevOps Engineer
Later
Vancouver, BC
We’re looking for a DevOps Engineer to help support and grow Later’s cloud infrastructure, DevOps practices, and emerging MLOps capabilities.
Added 4 months ago
AI Engineer - Remote
Huzzle
Remote, Canada
Full-time · Remote
We are looking for a skilled AI Engineer with at least 2 years of hands-on experience in developing, deploying, and optimizing AI and machine learning solutions. You will work closely with…
Added 4 months ago
Senior Software Engineer II
SurveyMonkey
Remote, Canada
$126,400 to $158,000 CAD / year
Full-time · Remote
The Machine Learning Platform team (MLP) is seeking a Senior Software Engineer II to design and implement the secure, highly scalable, and high-performance pipelines that govern the…
Added 4 months ago
AI Engineer - Remote
Huzzle
Remote, Canada
Full-time · Remote
We are looking for a highly skilled AI Engineer to design, build, and deploy AI-driven applications and machine learning solutions. You’ll work closely with product, engineering, and data…
Added 1 month ago
Senior AI Software Developer (Canada Remote)
Autodesk
Toronto, ON · AMER - Canada - Ontario - Offsite/Home
Full-time
…AI-powered platforms that operate at scale, leveraging data, machine learning, and agentic systems to deliver intelligent, adaptive, and personalized experiences across our flagship…
Added 4 months ago
Senior Machine Learning Engineer
Index Exchange
Toronto, Ontario
Full-time
We’re looking for a Senior Machine Learning Engineer who can bring their depth and breadth of experience in applied data science and optimization at industry scale to help guide our…
Added 10 days ago
Sr. Data Scientist, Programmatic Algorithms
impact.com
Vancouver, BC
We're seeking a Senior Data Scientist to serve as an embedded Data Scientist within our Programmatic Experience Group. You'll own the design and deployment of machine learning models that…
Added 10 days ago
Sr. Data Scientist, Programmatic Algorithms
impact.com
Vancouver, BC
We're seeking a Senior Data Scientist to serve as an embedded Data Scientist within our Programmatic Experience Group. You'll own the design and deployment of machine learning models that…
Added 5 months ago
Senior Machine Learning Engineer
Loblaw Companies Limited
Toronto, Ontario
Full-time
We are seeking a Senior Machine Learning Engineer to join our team, focusing on the development, deployment and testing of advanced AI systems and sophisticated search agents. This role…
Added 5 months ago
Senior Machine Learning Engineer
BDO
Vancouver, British Columbia · Oakville, Ontario · Ottawa, Ontario · Toronto, Ontario
Full-time
BDO Digital is seeking an experienced and technically proficient Senior ML Engineer to join our Technology Advisory Services practice. This role blends technical leadership with hands-on…
Added 5 months ago
Senior AI Engineer
ShyftLabs
Toronto, Ontario
Full-time
ShyftLabs is looking for a Senior AI Engineer to sit at the intersection of AI/ML engineering and backend platform development. This isn't a research role, it's a hands-on engineering…
Added 5 months ago
Artificial Intelligence Engineer
Precision AI
Calgary, Alberta
Full-time
The Artificial Intelligence Engineer at Precision AI will contribute to the design, development, and deployment of AI-driven solutions. This role focuses on building, training, and…
Added 5 months ago
Senior MLOps Engineer
Deep Genomics
Toronto, Ontario
Full-time
Join us in building the future of AI-driven drug discovery as a Senior MLOps Engineer. You will own and evolve the infrastructure that powers our ML pipelines – from cloud environments and…
Added 3 months ago
Lead AI Engineer
Altus Group
Toronto, Ontario
Full-time
Build scalable AI and ML practices. You will help establish standards, frameworks, and best practices for AI and machine learning
Added 1 month ago
Senior Staff Backline Engineer - Data & AI
Databricks
Vancouver, BC
AI Track: Experience with large-scale machine learning and generative AI systems, including LLM-based applications and agent-driven workflows. Strong grasp of model training, evaluation,…
Added 3 months ago
Applied AI Engineer
Nexxa.AI
Remote, Canada
Full-time · Remote
…production-ready systems that leverage Generative AI, Computer Vision, and Machine…

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Keyrus Canada

Forward Deployed AI Engineer

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

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

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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

Define end-to-end AI strategies and transformation roadmaps, including maturity assessments and use-case prioritization. Design target-state architectures for generative and agentic AI while providing governance and adoption recommendations.

Requirements

Requires a degree in Computer Science or related field with 7+ years of experience in AI/data/software, including hands-on experience with LLM orchestration frameworks. Must possess a consulting mindset with the ability to lead executive workshops and justify technical architectures to business audiences.

Skills

AI Strategy
Solution Architecture
Generative AI
Agentic AI
RAG Pipelines
Python
LangChain
LangGraph
AWS Bedrock
Azure OpenAI
Anthropic Claude
Microsoft Copilot
AI Governance
Business Case Development
Executive Facilitation
Software Engineering

Benefits

Group Insurance
RRSP Participation Plan
DPSP Participation Plan
Monthly Wellness Allowance
Flexible Work From Home Policy
4 Weeks Paid Vacation
Language Courses
Continuing Education Access
Employee Development Plan
Coaching

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Generative AI
Agentic AI
RAG
LangChain
LangGraph
Python
AWS Bedrock
Azure OpenAI
Anthropic Claude
Microsoft Copilot
Copilot Studio
MCP
Vector Databases
AI Governance
Responsible AI
AI Maturity Assessment
Solution Architecture
Data Intelligence
Strategic Advisory
Cloud AI Platforms
API
Version Control
GDPR
EU AI Act
React
Salesforce Agentforce
AWS Certified AI/ML
Business Case
Enterprise Architecture

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