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Added 1 day ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Toronto, ON · Ottawa, ON · Montreal, QC · Quebec, QC · Prince George, BC · Vancouver, BC · Kelowna, BC · Halifax, NS · Calgary, AB
- Full-time
…applications, and enterprise capabilities using technologies such as Agentforce, Einstein, large language models, and other Salesforce AI…
Added 2 days ago
NB
Salesforce Application Architect
National Bank of Canada
Montreal, QC
- Full-time
Advanced expertise in artificial intelligence concepts and applications in the Salesforce ecosystem, particularly Agentforce. Salesforce Agentforce Specialist and/or Salesforce Application…
Added 2 days ago
V
Systems Architect
Virtusa
Toronto, ON
- Full-time
Job Summary: We are seeking a highly skilled Cloud Architect with over 14 years of Salesforce experience, including a minimum of 3 years in an architectural role. The ideal candidate will…
Added 7 days ago
SP
Technical Architect Director - PubSec - Mulesoft Canada
Salesforce Partner Canada
Toronto, ON
- Full-time
The Director, Data Foundation Delivery is a senior leader who owns the strategy, architecture, and successful delivery of enterprise Data Foundation engagements for Salesforce Professional…
Added 9 days ago
PC
Enterprise Application - Experienced Designer, Senior Associate (Reliability Security Clearance Required)
Pwc Canada
Ottawa, ON
- Full-time
As a Senior Associate in PwC’s Customer Transformation practice, you will support teams helping organizations design and deliver customer-centric strategies, experiences, interfaces, and…
Added 9 days ago
P
Enterprise Application - Experienced Designer, Senior Associate (Reliability Security Clearance Required)
PwC
Ottawa, ON · Toronto, ON
- Full-time
As a Senior Associate in PwC’s Customer Transformation practice, you will support teams helping organizations design and deliver customer-centric strategies, experiences, interfaces, and…
Added 11 days ago
Salesforce Technical Architect - Financial Services Cloud, Marketing Cloud & Data360 - Manager
EY
Toronto, ON · Montreal, QC
We're looking for a senior, hands-on technical architect - someone with deep Financial Services Cloud implementation experience who still configures, codes, and builds, not just designs on…
Added 12 days ago
D
Senior Manager, Business Systems
Docker
Remote, Canada
- Full-time
- Remote
We're looking for a Senior Manager, Business Systems to lead our Salesforce development and administration team and drive the architecture, roadmap, and day-to-day operational health of our…
Added 1 month ago
Salesforce Technical Architect - Financial Services Cloud, Marketing Cloud & Data360 - Manager
EY
Ottawa, ON · Toronto, ON · Montreal, QC · Quebec, QC
We're looking for a senior, hands-on technical architect - someone with deep Financial Services Cloud implementation experience who still configures, codes, and builds, not just designs on…
Added 1 month ago
T
AI Account Director
TheAppLabb
ON · Toronto, Ontario
- Full-time
Client partnership. Be the client's senior point of contact after signature. Protect delivery quality, surface issues early, and stay in the account.
Added 3 months ago
WI
Senior Architect - Salesforce
Wawanesa Insurance
Winnipeg, Manitoba
- Other
As a Senior Architect, you will be the technical authority on the Salesforce ecosystem and CRM-driven member, advisor, and broker experiences. This role leads architectural design,…
Added 1 month ago
E
Senior Software Engineer – Data Cloud & Marketing Technology
Equinix
Toronto, ON
- Full-time
Equinix's Digital Innovation Office is seeking a Senior Software Engineer – Data Cloud & Marketing Technology to own the Salesforce Data Cloud platform and its integration across Sales…
Added 4 months ago
S
Pre-Sales Data and AI Architect - Solution Engineering (Canada)
Salesforce
Toronto, Ontario
- Full-time
…technical architecture leadership. The Data & AI Technical Architect is a senior, hands-on technical architect responsible for designing, validating, and operationalizing enterprise-grade…
Added 1 month ago
Senior Architect - Salesforce
Wawanesa Insurance
Calgary, AB · Edmonton, AB · Lethbridge, AB · Vancouver, BC · Wawanesa, MB · Winnipeg, MB · Moncton, NB · Dartmouth, NS · Kitchener, ON · Ottawa, ON · Toronto, ON · Montreal, QC · North York - Toronto, ON (Hybr, ON · Hybrid - Canada, ON
As a Senior Architect, you will be the technical authority on the Salesforce ecosystem and CRM-driven member, advisor, and broker experiences. This role leads architectural design,…
Added 4 months ago
KC
Forward Deployed AI Engineer
Keyrus Canada
Toronto, ON · Montreal, QC
- Full-time
…discipline you master and a story you help write to become a Keyrus Architect of…
Added 4 months ago
D
Senior Salesforce Developer
Docker
Remote, Canada
- Full-time
- Remote
We’re looking for a Senior Salesforce Developer to help scale and evolve our Go-To-Market systems and business operations. In this role, you’ll partner closely with Sales, Marketing,…
Added 4 months ago
KC
Forward Deployed AI Engineer
Keyrus Canada
Toronto, ON · Montreal, QC
- Full-time
…discipline you master and a story you help write to become a Keyrus Architect of…
Added 1 month ago
Senior Forward Deployed Engineer - Okta for AI Agents
Okta
Toronto, ON
Architect and deploy with the customer’s team. Build Okta’s agent security stack into their infrastructure: Cross-App Access (XAA), Fine-Grained Authorization (FGA), MCP Gateway, and agent…
Added 3 months ago
S
Pre-Sales Data and AI Architect - Solution Engineering (Canada)
Salesforce
Remote, Canada
- Full-time
- Remote
…technical architecture leadership. The Data & AI Technical Architect is a senior, hands-on technical architect responsible for designing, validating, and operationalizing enterprise-grade…

No more jobs.

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

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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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