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Added 1 month ago
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Principal Data Science and AI Engineer
RBC
Toronto, ON
- Full-time
As a Principal AI Engineer, you will be at the helm of developing, deploying, and owning the strategic direction of advanced AI systems, including autonomous AI agents that leverage and…
Added 1 month ago
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Senior Full Stack Engineer
RBC
Toronto, ON
- Full-time
As a senior software developer, you will work as a part of an agile team to develop automation. We are looking for diverse backgrounds and experience, with a deep understanding of software…
Added 1 month ago
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Senior Software Engineer
Mastercard
Vancouver, BC
- Full-time
…central to this strategy. We are looking for a lead software engineer to implement large scale distributed systems based on reactive…
Added 1 month ago
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Staff Applied AI Engineer
Forward Financing
Remote, Canada
- $180,000 to $240,000 CAD / year
- Full-time
- Remote
Demonstrated experience as a backend software engineer with strong programming skills (Python preferred; experience with Ruby or Go is a plus).
Added 1 month ago
TT
Firmware Engineer
Teledyne Technologies Incorporated
Richmond, BC · Canada - Richmond, BC
- Full-time
…reliability. These markets include aerospace and defense, factory automation, air and water quality environmental monitoring, electronics design and development, oceanographic research,…
Added 1 month ago
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IP Routing App Engineer Co-op/Intern
Nokia
Ottawa, ON
- Full-time
Experience working in a Linux/Unix environment, including automation via Bash/Shell scripting and Python programming
Added 1 month ago
R
Generative AI Data Scientist & ML Engineer
RBC
Toronto, ON
- Full-time
Autonomous AI Agents: Design and build autonomous AI agents capable of performing complex tasks autonomously, such as customer service automation, data analysis, and decision-making support.
Added 1 month ago
SS
Generative AI Engineer
Soho Square Solutions
Montreal, QC
- Contract
We are seeking a Cloud & AI Engineer to design, build, and maintain enterprise-scale multi-cloud infrastructure across Azure and AWS while enabling cloud-native AI solutions and agentic AI…
Added 1 month ago
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Intern, Software Developer
Pomerleau
Laval, QC
- Internship
…development and enhancement of applications, digital tools, and automation solutions that support Pomerleau's operations. You will collaborate with various teams to design, develop, test,…
Added 1 month ago
Senior Specialist, Data & Cloud Platform & Microsoft Azure
PowerCo SE
St. Thomas, ON
…and Data Lake Storage to support PowerCo’s data analytics and automation…
Added 1 month ago
UT
Senior DevOps Engineer
Unity Technologies
Montreal, QC
- Full-time
Are you a visionary DevOps Engineer with a keen focus on driving modern infrastructure through Automation, Infrastructure-as-Code (IaC), and advanced CI/CD practices? At Unity Technologies…
Added 2 months ago
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Firmware Integration and Test Engineer
Nokia
Ottawa, ON
- Full-time
As an Optical Firmware Integration Test (SIT) Engineer at Nokia, you'll play a crucial role in enhancing our optical pluggable firmware development and verification process. You will…
Added 3 months ago
PG
QA Engineer I
Paymentus Group Inc
Ontario
- Full-time
The QA Engineer plays a key role in quality assurance and quality control of the products and services through performing both manual and automated testing. The QA Engineer is also…
Added 3 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 2 months ago
Senior Agentic Software Engineer
Lantern
Edmonton, AB
As a Senior Software Modernization Engineer, you'll work directly with enterprise software engineering organizations to help modernize applications, improve developer productivity,…
Added 3 months ago
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Senior Substation Electrical Engineer 1 - Grid
Sargent & Lundy
Toronto, ON · North York, ON
- Full-time
…of high voltage substation projects. As a Senior Substation Engineer, you…
Added 3 months ago
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Lead Substation Engineer 1 - Grid
Sargent & Lundy
Toronto, ON · North York, ON
- Full-time
This position will offer you the ability to directly apply your knowledge of protective relaying and controls systems for HV and EHV substations. As a Lead Substtion Engineer, you will:
Added 3 months ago
N
System Test QA Engineer
Nokia
Ottawa, ON
- Full-time
As a System Test QA Engineer at Nokia, you'll play a crucial role in ensuring the quality of our cutting-edge optical communication technology. You will design and execute automated test…
Added 3 months ago
M
Senior Electrical Engineer
MGIS
Ottawa, Ontario
- Contract
Develop test cases and automation scripts (e.g., Scapy, python-can, or equivalent) to exercise and validate the network, including logs and reproducible test procedures.
Added 3 months ago
SD
Senior AI Engineer
Symbiotic Digital
Unorganized North Algoma, Ontario · Downtown Toronto (Ryerson), Ontario
- Contract
We are seeking a Senior AI Engineer to design, develop, and
Added 3 months ago
H
Senior Flight-Operations Satellite Systems Engineer | Hybrid/Remote Opportunity
HIKINEX
Remote, Canada
- Full-time
- Remote
Develop automation scripts and engineering tools using Python or other scripting languages.
Added 3 months ago
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Senior Mission & Operations Satellite Systems Engineer – Hybrid/Remote Opportunity | Fastwater Staaffing
HIKINEX
Remote, Canada
- Full-time
- Remote
Develop engineering tools and automation scripts using Python or other scripting languages.
Added 3 months ago
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Payload System Verification & Validation Engineer | Hybrid/Remote Opportunity | Fastwater Staffing
HIKINEX
Remote, Canada
- Full-time
- Remote
Develop test automation scripts and analyze test data using Python, MATLAB, or similar tools.
Added 3 months ago
H
Flight-Operations Systems Engineer | Hybrid/Remote Opportunity | Fastwater Staffing
HIKINEX
Remote, Canada
- Full-time
- Remote
We are seeking an experienced Flight-Operations Systems Engineer to support the design, integration, and operation of advanced satellite systems. In this role, you will contribute to flight…
Added 3 months ago
H
Payload System Software Integration Engineer | Hybrid/Remote Opportunity | Fastwater Staffing
HIKINEX
Remote, Canada
- Full-time
- Remote
We are seeking a Payload System Software Integration Engineer to lead the integration of software for advanced digital telecommunications payloads. In this role, you will coordinate…

Greenlight Consulting

Forward Deployed Engineer (AI Practice)

North York, ON, Canada

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

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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.

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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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