Jobs in Canada

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Added 5 months ago
Intermediate Mechanical Engineer
Kraken Robotics Inc.
Dartmouth, NS
Kraken Robotics is currently recruiting for an Intermediate Mechanical Engineer to join our Dartmouth, Nova Scotia Office.
Added 3 months ago
Cryogenic RF Engineer (Intermediate or Senior) [571]
D-Wave
Burnaby, BC
Depending on your experience and demonstrated expertise, you will contribute as either an Intermediate or Senior Engineer. The successful candidate will be hired at the level that best…
Added 3 months ago
EM
Intermediate RF Engineer
Evertz Microsystems Limited
Burlington, ON
- Full-time
We are seeking an experienced Senior RF Engineer to lead the design, integration, and verification of advanced RF systems including RF routers, fiber extenders, DIFI based RF over IP and…
Added 5 months ago
AL
Forward Deployed AI Engineer
Arkanis Labs
Remote, Canada
- $120,000 to $200,000 CAD / year
- Full-time
- Remote
…in when they have a real engineering problem and not enough senior bandwidth to solve it well: data infrastructure that's buckling, an LLM feature that breaks the moment real users touch…
Added 2 months ago
Software Engineer, Global Payments Technology (Backend Java Developer)
Scotiabank
Toronto, ON
We are seeking an Intermediate Java Developer to join our agile development team and contribute to the design, development, and maintenance of backend services. The ideal candidate has…
Added 3 months ago
Intermediate Avionics/Electrical Engineer
Diamond Aircraft
London, ON
Avionics / Electrical Engineer (Intermediate)
Added 3 months ago
Senior Design & Certification Engineer
Diamond Aircraft
London, ON
The Senior Design & Certification Engineer is responsible for leading the design, development, certification, and continued airworthiness activities for Diamond Aircraft's existing and new…
Added 3 months ago
Pavement Engineer
GHD Group Pty Ltd
Markham, ON
Carrying out project execution, proposal, and pavement design report / geotechnical investigation report preparation, with oversight and support by a senior pavement / geotechnical engineer
Added 4 months ago
PA
Intermediate Product Development Mechanical Engineer
Progressive Automations
Richmond, British Columbia
- $60,000 to $80,000 CAD / year
The Intermediate Product Development Mechanical Engineer will work closely with the Research & Development Manager and Senior Mechanical Engineer to develop new linear actuators, hardware…
Added 6 months ago
QT
Senior Applied AI Engineer - Product & Revenue Systems
QEA Tech
Markham, Ontario
- Full-time
This person should be capable of operating as a senior technical lead, helping QEA prioritize AI initiatives and eventually directing junior or intermediate team members as execution needs…
Added 2 months ago
EC
Senior Software Engineer - Full Stack
Emburse Chrome River
Toronto, ON
- Full-time
…other containers, large-scale or distributed web applications, Test Driven Development and functional…
Added 2 months ago
Research Engineer Test Pilot (Fixed Wing)
National Research Council Canada
Ottawa, ON
Individuals must have lived in Canada for a sufficient period of time to enable the security screening process · Licencing - Must hold and maintain a valid Airline Transport Pilot License – aeroplane;
Added 2 months ago
A
Java Software Engineer
Aptonet
Vancouver, BC
- Contract
We are seeking an Intermediate Software Engineer to join our team in Vancouver, BC, and help build innovative generative AI capabilities across Planview products. In this role, you will…
Added 4 months ago
GC
Forward Deployed Engineer (AI Practice)
Greenlight Consulting
North York, Ontario
- $90,000 to $130,000 CAD / year
The Forward Deployed Engineer is Greenlight’s most senior technical delivery role. You design, build, and operationalize AI agent workflows and intelligent automation solutions - embedded…
Added 3 months ago
H
Systems Design Specialist- Senior
Hitachi
Remote, Canada
- Full-time
- Remote
We are hiring a Signaling Design Specialist - Senior for our Toronto office. The Signaling Design Specialist - Senior will, among other responsibilities, perform system design, signaling…
Added 4 months ago
KC
Senior Satellite Systems Designer - Platform Architect
Kepler Communications
Toronto, ON
- Full-time
As a Senior Systems Engineer, you will be a technical leader contributing across multiple satellite and space-system programs. You will help deliver critical subsystems, system-level work…
Added 2 months ago
Intermediate to Senior Electrical Safety Engineer (Future Hires)
QAI Laboratories Ltd.
Burnaby, British Columbia
Candidates must hold a valid BC driver’s license · Candidates must hold a valid passport, or be able to obtain a valid passport, and must be able to travel to the US and international destinations
Added 4 months ago
Senior Full Stack AI Engineer
Ombud
Quinte West, Ontario
We're hiring a senior full-stack engineer to build the next generation of Ombud's agentic AI platform. The work splits across two domains: building the agentic engine itself (LlamaIndex /…
Added 2 months ago
S
Senior Quality Engineer - Neurodiversity Hiring Initiative
Specialisterne
Toronto, ON
- Full-time
Location: Toronto, ON (Hybrid, 4 days per week on-site))
Added 5 months ago
NT
Senior Controls Engineer
Novarc Technologies Inc
Burnaby, BC
- $102,400 to $118,150 CAD / year
- Full-time
Our never-before-seen welding cobots require customization and R&D. We are looking for an Intermediate or Senior Controls Engineer to join our growing team and support the development and…
Added 5 months ago
DC
Senior Environmental Professional
Dillon Consulting Limited
Kingston, Ontario
- Full-time
Dillon’s Contaminant Assessment & Management Discipline is seeking a licensed Professional Engineer or Geoscientist to fill an existing vacancy within our multidisciplinary team of…
Added 2 months ago
Electromagnetic Compatibility (EMC) Test Engineer (Future Hires)
QAI Laboratories Ltd.
Burnaby, British Columbia
Candidates must hold a valid BC driver’s license · Applications will only be accepted when emailed in MS Word or PDF format and must have a job-specific cover letter
Added 3 months ago
CO
Staff Software Engineer - Capital One Travel - Android
Capital One
Toronto, Ontario
- Full-time
Provide mentorship to Junior, Intermediate, and Senior mobile associates
Added 4 months ago
SM
Mine Engineer, Senior
SSR Mining Inc.
Saskatoon, Saskatchewan
- Full-time
SSR Mining – Seabee Gold Operation (SGO) is hiring for a Mine Engineer, Senior.
Added 3 months ago
SH
Intermediate Mechanical Engineer
Sotera Health
Ottawa, Ontario
- Full-time
As an Engineer Associate, you will be responsible for the design, testing and on-going technical and manufacturing support of sealed sources and transport packages used for the shipment of…

Greenlight Consulting

Forward Deployed Engineer (AI Practice)

North York, ON, Canada

$90,000 to $130,000 CAD / year

Apply on job-boards.greenhouse.io About employer

Applications open in a new tab.

Job details

Pay: $90,000 to $130,000 CAD / year
Experience: Intermediate 3-5 year’s experience
Posting language: English
Posted: Jul 7, 2026

Original job description

Greenlight helps organizations solve complex business challenges through intelligent automation, agentic AI, and custom technology solutions.

Our teams work directly with clients to understand their operations, identify opportunities, and rapidly build solutions that create measurable business value. We combine deep consulting expertise with hands-on engineering to bridge the gap between strategy and execution.

We’re building a future where consultants and engineers work alongside AI to deliver faster outcomes, stronger businesses, and transformative customer experiences. Anthropic’s Claude is embedded across how we design, build, and validate solutions - and this role is at the technical frontier of that capability.

What makes a star at Greenlight?

· Builder's instinct, architect's discipline

· The most technically credible person in the room

· AI-native at depth - you know how LLMs fail and build around it

· Client-embedded, not arm's length

· Commercially aware - scope, economics, outcomes

The Role

The Forward Deployed Engineer is Greenlight’s most senior technical delivery role. You design, build, and operationalize AI agent workflows and intelligent automation solutions - embedded directly in client environments, working alongside their teams to deliver production-grade solutions that create measurable business outcomes.

This is not a back-office engineering role. You will be in client discovery sessions, presenting architectures to IT leadership, deploying AI agents against real enterprise systems, and building the reusable skills and accelerators that make Greenlight faster and more differentiated on every subsequent engagement. You are expected to be the most technically credible person in the room - combining deep AI fluency with the consulting presence of a senior practitioner.

You work at the frontier of agentic AI - designing and building Claude-powered solutions, connecting AI agents to enterprise systems through MCP integrations, and producing the technical documentation that the delivery team and the client can both stand behind. The platform is Anthropic Claude. The problem space is complex, regulated, and high-stakes. The bar is production-grade.

At a Glance

Reports To	AI Practice Lead
Works Closely With	Pre-Sales SE, Automation Business Consultant, AI Delivery Engagement Manager
Client Interaction	Yes - C-suite, IT architects, operations leaders, technical teams
Travel Requirement	Regular client travel required - discovery, workshops, POC delivery, go-live
Platform Focus	Anthropic Claude (Cowork + Skills), MCP, Python / Node.js, REST APIs
Seniority	Intermediate 3-5 year’s experience
Location	Onshore Canada - Toronto preferred
Engagement Type	Hybrid - onsite client-facing with remote delivery phases

What You’ll Do

Solution Architecture & Technical Discovery

Lead technical discovery workshops with C-suite, IT architects, and operations leaders - identifying high-value AI automation opportunities and translating complex operational workflows into executable solution architectures
Design end-to-end AI agent architectures using Anthropic’s Claude platform (Cowork and Skills framework), aligned to client infrastructure, security requirements, and compliance constraints
Translate business requirements into agent-based automation blueprints: what the AI owns, what stays human, how exceptions route, and how the two coordinate
Assess the right solution architecture for each use case - knowing when a Claude agent is the answer, when a procode integration is cleaner, and when a simpler rules-based approach is more appropriate than AI
Present technical architectures to executive and non-technical audiences with clarity, confidence, and the credibility that comes from having built things like this before

AI Agent Build & Delivery

Engineer production-ready AI agent workflows using Claude Cowork and the Skills framework - built to a standard that holds up in regulated, enterprise production environments
Develop and configure Claude Skills: structured instruction sets, templates, validation rules, and reference documents that encode client-specific processes and quality standards into repeatable AI agent behaviour
Build and maintain MCP connectors that integrate AI agents with enterprise systems - CRMs, ERPs, document management platforms, core banking systems, and custom APIs - handling authentication, data mapping, error handling, and audit requirements
Implement advanced LLM patterns where required: retrieval-augmented generation (RAG), chain-of-thought reasoning, tool use, multi-agent orchestration, and structured output validation
Conduct output validation, performance tuning, and safety testing of deployed AI agents before client go-live - quality is non-negotiable when outputs go to regulators or clients

Procode & Integration Engineering

Write production-quality Python or Node.js to extend platform capability - data pipelines, transformation logic, webhook handlers, API wrappers, and back-end components that sit outside the automation itself
Build, test, and maintain integrations with enterprise platforms (Salesforce, Jira, DocuSign, SharePoint, ServiceNow, and others) using REST, GraphQL, OAuth 2.0, and enterprise authentication patterns
Design and implement monitoring, logging, and observability into deployed solutions so operations teams can diagnose issues without requiring an engineer in the room
Apply cloud platform fundamentals (AWS, Azure, or GCP) to deployment, scaling, and infrastructure decisions where the engagement requires it

Accelerators & Practice Development

Build and continuously refine reusable Skills libraries, automation templates, and reference architectures that make every subsequent Greenlight engagement faster and more defensible
Contribute to pre-sales activities: technical demos, POC builds, RFP responses, and solution estimations - your hands-on credibility is a direct input to Greenlight’s win rate
Produce high-quality technical documentation - solution design documents, architecture diagrams, runbooks, and post-deployment reports - written to a standard the client’s IT team can maintain
Identify account expansion opportunities within active engagements - additional use cases, adjacent processes, and follow-on automation candidates - and surface them to the AI Delivery Engagement Manager
Mentor Automation Engineers and client technical teams on AI agent patterns, LLM integration best practices, and platform capabilities

Client Engagement & Consulting Delivery

Operate with high autonomy inside client environments - navigating ambiguity, defining structure where none exists, and delivering without requiring hand-holding from the practice lead
Manage scope, timelines, and deliverables across concurrent client engagements - you know when to flag a risk and when to absorb it
Build trusted-advisor relationships with client technical teams - the goal is to be the person they call when they have an AI or automation problem, not just the vendor who delivered the last project
Deliver working solutions within 2–4 week sprint cycles - you build and show, you don’t slide and tell

What We’re Looking For

Skills & Competencies

Technical depth with consulting presence - credible with a CTO and a COO in the same meeting
AI-native - you understand how LLMs behave under pressure, where they fail, and how to build reliable systems around them
Builder's bias - working software over slide decks, every time
High autonomy - you define structure where none exists without needing direction
Commercially aware - scope, delivery economics, and what it costs when technical decisions go sideways
Clear communicator - architecture decisions and trade-offs explained in language both business and IT can act on

Technical Familiarity

LLM platforms - Anthropic Claude (primary), Microsoft Copilot, Google Gemini, OpenAI; hands-on with APIs, agent frameworks, and production deployment across at least one
Claude Skills framework and Cowork - structured instruction design, output validation, skill packaging
MCP (Model Context Protocol) - connector design, enterprise system integration, authentication flows
Python and/or Node.js - production-grade, testable, maintainable code
REST and GraphQL APIs - authentication, error handling, rate limiting, webhooks
Cloud platforms - AWS, Azure, or GCP; deployment, containers, infrastructure basics
LLM evaluation and observability - LangSmith, Weights & Biases, or equivalent

What Great Looks Like in This Role

The standard we are hiring to:

The best FDEs we have worked with walk into a client environment and within a week they know more about the client’s process than the client’s own team has documented. They build a working POC in a few weeks that makes the client stop asking whether it’s possible and start asking when it can go to production. They write code that the next engineer can understand without a two-hour briefing. They know when the LLM is going to fail before it does, and they’ve already built the fallback. And they leave every engagement with a client technical team that is more capable than when they arrived - because that is what makes clients come back.

AI in Our Hiring Process

We use AI tools to support parts of our recruitment - organizing applications and flagging relevant experience. These tools inform our process, they don’t drive it. Every hiring decision is made by our team, full stop.

Compensation

The expected salary range for this role is $90,000 – $130,000 CAD annually, based on experience and qualifications.

Apply on job-boards.greenhouse.io About employer

More about this job

Responsibilities

Design, build, and operationalize production-grade AI agent workflows and intelligent automation solutions embedded within client environments. Lead technical discovery workshops and develop reusable AI skills and connectors to integrate agents with enterprise systems.

Requirements

Requires 3-5 years of experience with deep fluency in LLMs, specifically Anthropic Claude, and proficiency in Python or Node.js. Candidates must possess a blend of high-level technical engineering skills and senior consulting presence for C-suite interaction.

Skills

AI Agent Architecture
Anthropic Claude
Python
Node.js
Model Context Protocol (MCP)
REST APIs
GraphQL
RAG
Solution Architecture
Technical Discovery
LLM Evaluation
Cloud Platforms
Enterprise Integration
Technical Consulting
Prompt Engineering
Multi-agent Orchestration

Visa sponsorship

Not detected in the job text

Keywords

Anthropic Claude
AI Agents
MCP
Python
Node.js
REST
GraphQL
RAG
AWS
Azure
GCP
LangSmith
Weights & Biases
Enterprise Automation
Solution Architecture
Agentic AI
LLM
OAuth 2.0
Salesforce
Jira
ServiceNow
SharePoint
DocuSign
Technical Documentation
POC
Consulting
Intelligent Automation
Chain-of-Thought
Multi-agent Orchestration
API Integration

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Jobs in Canada