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Added 4 months ago
T
AJISS Technical Spec Writer (Mechanical)
Thales
Remote, Canada
- Full-time
- Remote
…defence, security and space, our architects design innovative solutions that make our tomorrow's…
Added 1 month ago
Software Engineer, Global Payments Technology
Scotiabank
Toronto, ON
Working knowledge of an entire application/system; Engineers software solutions that meet the needs of stakeholders while focusing on continually reducing technical debt
Added 4 months ago
C
Senior Consultant IIQ
Cyderes
Canada
- Full-time
We are seeking an experienced Senior SailPoint IdentityIQ (IIQ) Engineer to join our Identity and Access Management (IAM) team. This individual will be responsible for designing,…
Added 2 months ago
CO
Staff Software Engineer - Capital One Travel Tech - Full-stack
Capital One
Toronto, Ontario
- Full-time
…catalyst propelling us from serving small businesses to powering enterprise giants. As a Senior Engineer, you will be at the epicenter of this game-changing integration, architecting…
Added 4 months ago
IT
Saviynt Engineer
Isite Technologies Inc
Remote, Canada
- $75 CAD / hour
- Full-time
- Remote
Join Isite Technologies Inc as a Saviynt Engineer and play a crucial role in enhancing our identity governance solutions. We are looking for passionate individuals who thrive in a dynamic…
Added 4 months ago
H
Senior DevOps Engineer
Huzzle
Remote, Canada
- Full-time
- Remote
We are hiring an experienced Senior DevOps Engineer to support fast-growing international companies building scalable cloud-native platforms and enterprise infrastructure.
Added 1 month ago
Cryptography Engineer
Capco
Toronto, ON
Capco is seeking an experienced Cryptography Engineer. This newly created role will sit within a Crypto Certification team, responsible for validating and certifying enterprise data…
Added 4 months ago
VC
DevOps Specialist
Vancouver Coastal Health
Vancouver, British Columbia
- $46.39 to $66.68 CAD / hour
- Full-time
…ability to deliver and promote on-premises and cloud-based data solutions within the approved enterprise…
Added 1 month ago
CO
Staff Software Engineer - Capital One Travel Tech - Full-stack
Capital One
Toronto, ON
- Full-time
…catalyst propelling us from serving small businesses to powering enterprise giants. As a Senior Engineer, you will be at the epicenter of this game-changing integration, architecting…
Added 4 months ago
D
Senior Software Engineer, Integrations
d1g1t
Toronto, Ontario
- Full-time
d1g1t built the industry's first enterprise wealth management platform powered by institutional-grade analytics and risk management tools. Founded and led by veteran fintech engineers…
Added 4 months ago
ENGINEER IV - HYBRID
Green Shield Canada
Toronto, Ontario
We are seeking a highly skilled, motivated, and experienced Software Engineer to join our Engineering team. As a Software Engineer IV in GreenShield Labs, you will have the opportunity to…
Added 2 months ago
MC
AI Prompt Engineer
MCI Careers
Canada
- Full-time
We are seeking a creative, analytical, and detail-oriented Prompt Engineer to design, test, and refine prompts that enable Generative AI systems to generate accurate, relevant, and…
Added 2 months ago
MC
Generative AI Engineer
MCI Careers
Canada
- Other
We are seeking an innovative and technically skilled Generative AI Engineer to join our growing AI team. In this role, you will design, develop, and deploy cutting-edge AI solutions powered…
Added 2 months ago
MC
Senior Generative AI Engineer
MCI Careers
Canada
- Other
We are seeking a Senior Generative AI Engineer to lead the development of advanced AI-powered products and enterprise solutions. This role requires deep expertise in Large Language Models,…
Added 2 months ago
MC
AI / Machine Learning Engineer
MCI Careers
Canada
- Other
We are seeking a highly analytical and technically skilled AI / Machine Learning Engineer to develop, deploy, and optimize machine learning solutions that drive business innovation and…
Added 2 months ago
MC
RAG Engineer
MCI Careers
Canada
- Other
We are looking for a highly skilled RAG Engineer to build Retrieval-Augmented Generation (RAG) systems that combine the power of Large Language Models with enterprise knowledge and…
Added 2 months ago
MC
Senior RAG Engineer
MCI Careers
Canada
- Other
We are seeking a Senior RAG Engineer to lead the design and optimization of Retrieval-Augmented Generation platforms that power enterprise AI solutions. This role requires expertise in…
Added 2 months ago
MC
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 2 months ago
MC
Senior AI Prompt Engineer
MCI Careers
Canada
- Other
…Outsourcing (BPO), and Anything-as-a-Service (XaaS) cloud technology solutions across a wide range of industries, including healthcare, retail, government, education, telecom, technology…
Added 5 months ago
S
Forward Deployed Engineer
Spellbook
Remote, Canada
- $170,000 to $213,000 CAD / year
- Full-time
- Remote
Spellbook is seeking a Forward Deployed Engineer to join our team. In this role, you’ll work directly with large law firms and in-house legal teams to integrate Spellbook into real-world…
Added 4 months ago
EM
Enterprise Support Engineer I
Evertz Microsystems Limited
Burlington, ON
- Full-time
Evertz is looking for highly technical and self-motivated individuals for a challenging role in enterprise class software/hardware support engineering. If you are looking to learn and grow…
Added 4 months ago
EN
Distinguished SW Systems Engineer (10343)
Extreme Networks
Toronto, ON
- Full-time
Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts…
Added 4 months ago
M
Principal Software Engineer - Distributed Systems
Microsoft
Vancouver, British Columbia
- Full-time
The Fabric Mirroring team is currently seeking a Senior Software Engineer to join their team. This team oversees designing, building, and operating a next generation service that transfers…
Added 4 months ago
A
Senior Deal Desk Analyst
Ataccama
Toronto, Ontario
- Full-time
…well as a Leader in the 2026 Forrester Wave for Data Quality Solutions, Ataccama continues to set the standard for enterprise-grade data…
Added 4 months ago
KC
Forward Deployed AI Engineer
Keyrus Canada
Toronto, ON · Montreal, QC
- Full-time
Experience integrating and deploying AI solutions within enterprise environments and on cloud platforms (Azure, AWS, or GCP).

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

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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