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Added 12 hours ago
AI
Salesforce AI & Data Cloud Solutions Engineer
AGF Investments
Toronto, ON
- Full-time
We are seeking a hands-on Data Engineer to own both the underlying CRM data foundation and the Data360 platform. The role will design, build, govern, and support scalable data models,…
Added 14 hours ago
AM
Salesforce AI & Data Cloud Solutions Engineer
AGF Management
Toronto, ON
- Full-time
We are seeking a hands-on Data Engineer to own both the underlying CRM data foundation and the Data360 platform. The role will design, build, govern, and support scalable data models,…
Added 2 days ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Kelowna, BC
- Full-time
We are seeking a hands-on Salesforce Platform and AI Engineer to design, build, and scale secure, data-driven solutions that advance CCS’s mission. This role combines Salesforce…
Added 14 days ago
S
Software Engineering LMTS
Salesforce
Vancouver, BC · Canada - Vancouver
- Full-time
…transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of…
Added 14 days ago
S
Software Engineering LMTS
Salesforce
Vancouver, BC
- Full-time
…transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of…
Added 14 days ago
UR
Forward Deployed Engineer (FDE) (Mid/Senior Level)
Urban Ridge Supplies
Toronto, ON
- Full-time
…transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of…
Added 14 days ago
UR
Forward Deployed Engineer (FDE) (Mid/Senior Level)
Urban Ridge Supplies
Toronto, ON
- Full-time
…transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of…
Added 16 days ago
S
Solution Engineer, Public Sector, Canada
Salesforce
Toronto, ON · Canada - Toronto
- Full-time
…transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of…
Added 16 days ago
S
Solution Engineer, Public Sector, Canada
Salesforce
Toronto, ON
- Full-time
…transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of…
Added 22 days ago
RB
Lead Agentic AI Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
…designing multi-agent interactions across vendor agents (CRM/Agentforce), enterprise agents, and native/internal…
Added 21 days ago
Senior Software Engineer, Agent Gateway
Okta
Toronto, ON
…services their organizations authorize. Every call from Claude, Agentforce, Codex, and internal/homegrown agents to a resource flows through us. We enforce authorization, isolate…
Added 21 days ago
O
Senior Software Engineer, Agent Gateway
Okta
Toronto, ON
- $136,000 to $187,000 CAD / year
- Full-time
…services their organizations authorize. Every call from Claude, Agentforce, Codex, and internal/homegrown agents to a resource flows through us. We enforce authorization, isolate…
Added 21 days ago
R
Lead Agentic AI Engineer
RBC
Toronto, ON
- Full-time
…designing multi-agent interactions across vendor agents (CRM/Agentforce), enterprise agents, and native/internal…
Added 1 month ago
SP
Account Solution Engineer
Salesforce Partner Canada
Toronto, ON
- Full-time
…transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of…
Added 1 month ago
S
Forward Deployed Engineer (FDE) (Mid/Senior Level)
Salesforce
Toronto, ON · Canada - Toronto
- Full-time
…transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of…
Added 1 month ago
S
Account Solution Engineer
Salesforce
Toronto, ON · Montreal, QC · Canada - Toronto
- Full-time
…transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of…
Added 1 month ago
VG
[VO2 Canada] -Ingénieur.e IA / LLM – Missions Ponctuelles
VO2 GROUP
Montreal, QC
- Full-time
Added 2 months ago
[VO2 Canada] -Ingénieur.e IA / LLM – Missions Ponctuelles
VO2 Group
Montreal, QC
Added 2 months ago
E
Senior Software Engineer
Equinix
Toronto, ON
- Full-time
Proven experience designing and deploying Agentforce agents and prompt templates for customer-facing or internal use cases
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
E
GTM Engineer: Customer Experience & Lifecycle
Equinix
Toronto, Ontario
- Full-time
Hands-on experience with modern GTM automation and enrichment platforms such as Clay, n8n, Glean, Agentforce, or similar agentic workflow tools is a strong plus
Added 3 months ago
A
Senior Salesfore Agentforce Engineer
Accellor
Remote, Canada
- Full-time
- Remote
As a Senior Salesforce Agentforce Engineer, you'll partner with enterprise clients to design and implement next-generation AI-powered customer and employee experiences using Salesforce's…
Added 4 months ago
KC
Forward Deployed AI Engineer
Keyrus Canada
Toronto, ON · Montreal, QC
- 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…
Added 4 months ago
KC
Forward Deployed AI Engineer
Keyrus Canada
Toronto, ON · Montreal, QC
- 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…
Added 1 month ago
Senior Forward Deployed Engineer - Okta for AI Agents
Okta
Toronto, ON
AI hands-on. Built production integrations with Claude, ChatGPT, Microsoft Copilot, Agentforce, Bedrock, LangChain, CrewAI, the OpenAI Agents SDK, or MCP servers.

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

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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

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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