Jobs in Canada

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Added 2 months ago
Senior Manager, Information Compliance – AI Governance & Privacy
master-TMS
Toronto, ON
Ability to advise senior stakeholders and influence cross-functional teams without relying o
Added 4 months ago
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Solution Consultant - NAM
Omilia
Canada
- Full-time
The Solution Consultant a senior individual contributor who serves as the primary technical authority in Account Executive-led sales cycles within an assigned region or global segment. The…
Added 3 months ago
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Service Delivery Manager
Finastra
Mississauga, ON
- Full-time
Proven ability to summarize complex issues into concise business summaries for both technical and non-technical stakeholders and senior management.
Added 3 months ago
BA
Senior Analyst, Application Integration
Brookfield Asset Management
Toronto, ON · Brookfield Place
- Full-time
The Senior Analyst, Application Integration, delivers application integration solutions that support the operations and scalability of our Brookfield Wealth Solutions and Brookfield Credit…
Added 5 months ago
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ServiceNow Senior Consultant
Jolera
Canada
- Full-time
We are looking for a Senior ServiceNow Consultant who is far more than a platform administrator. This is a strategic, customer-facing role that sits at the intersection of deep technical…
Added 3 months ago
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Systems Administrator III (Linux)
Moneris
Toronto, ON
- Full-time
This is a senior, hands-on infrastructure role centered on operating and modernizing a large-scale RHEL estate of thousands of virtual machines spanning development through mission-critical…
Added 2 months ago
Senior Manager, Technical Product Management
Scotiabank
Toronto, ON
Familiarity with tools such as Jira, Confluence, Azure DevOps, ServiceNow, Git-based workflows, and observability or incident monitoring platforms is an asset.
Added 3 months ago
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Senior Network Administrator
Moneris
Toronto, ON
- Full-time
The Senior Network Administrator will play a key role in designing, implementing, securing, and supporting enterprise network infrastructure across data centers, LAN, WAN, IoT, wireless,…
Added 3 months ago
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Technical Lead - Five9
TELUS Digital
Remote, Canada
- $132,000 to $165,000 CAD / year
- Full-time
- Remote
As a Technical Lead - Five9, you will be a senior technical leader in our CX Platforms practice, responsible for the design, configuration, and delivery of Five9 Intelligent CX solutions.…
Added 3 months ago
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IRM/GRC Technologies Senior Associate
PwC
Toronto, ON
- Full-time
As an IRM/GRC Technologies Senior Associate, unlock your potential and embrace the chance to drive meaningful outcomes that’ll elevate your career. Your role will include, but isn’t limited…
Added 5 months ago
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Amazon Connect Principal Consultant
Slalom
Toronto, Ontario · Greater Toronto Area, Canada
- Full-time
Title: Amazon Connect – Senior Consultant – Vacant Role - Toronto
Added 3 months ago
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Lead, Information System and Knowledge Management
Fraser Health
Surrey, BC
- Full-time
…opportunity to combine your expertise in IT Service Management, ServiceNow, Configuration Management, and data governance to recommend, develop, implement, and continuously improve…
Added 7 months ago
KC
Senior Manager GRC
KPMG Canada
Toronto, Ontario
- Full-time
Our Technology Risk Consulting services team is growing and we are looking for Senior Manager to join our team in Toronto. The Technology Risk Consulting practice provides a variety of…
Added 6 months ago
VF
Senior Business Systems Designer
Vancouver Fraser Port Authority
Vancouver, British Columbia
- Full-time
The Senior Business Systems Designer leads the discovery, definition, and functional architecture of business systems to ensure technology solutions directly support organizational…
Added 2 months ago
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Enterprise Go-To-Market Senior Principal - Salesforce, ServiceNow and Adobe
Slalom
Vancouver, BC · Greater Vancouver Metropolitan Area
- Full-time
We partner with leading platforms - Salesforce, ServiceNow, Adobe, Anaplan, Workday, Contentful, Boomi, Workato and more - to build scalable, end-to-end solutions that unify data,…
Added 2 months ago
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Field Operations Specialist
American Iron & Metal (AIM)
Montreal, QC
- Full-time
Assist with switch and router configuration under supervision of senior engineers.
Added 3 months ago
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Service Delivery and IT Ops Data Analyst
Morningstar
Toronto, Ontario
- Full-time
The Employee Experience Insights & AI Enablement Team is looking for a Senior Insights Analyst to sit at the intersection of AI strategy, IT operations, and enterprise analytics. This is…
Added 2 months ago
AI
Field Operations Specialist
American Iron and Metal
Montreal, QC
- Full-time
Assist with switch and router configuration under supervision of senior engineers.
Added 2 months ago
Senior Developer - Uipath
Scotiabank
Toronto, ON
We are looking for a Senior Developer to join the ASIO team. This role is primarily focused on supporting, enhancing, and scaling production Robotic Process Automation (RPA) solutions that…
Added 2 months ago
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Senior Project Manager - ITSM
J&M Group
Toronto, ON
- Full-time
Minimum five (5) years of hands-on ServiceNow experience, including configuration, customization, administration, and implementation of ITSM modules and platform capabilities.
Added 2 months ago
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CSP Tools Tower Lead
J&M Group
Calgary, AB
- Full-time
Present operational updates, risks, and improvement plans to customers and senior management.
Added 4 months ago
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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
Technical Specialist Advisory
Scotiabank
Toronto, ON
Reporting directly to the Senior Manager, you will play a critical role in the management of the Bank’s hardware IT assets. This role is primarily focused on hardware currency which…
Added 4 months ago
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Sr. Director, Infrastructure Automation & Compliance
McKesson
Remote, Canada
- Full-time
- Remote
The Senior Director of Audit, Compliance & Automation (M5) is a senior enterprise leader responsible for driving end-to-end audit readiness, compliance execution, and large-scale automation…
Added 2 months ago
Director, Global Mobility Services
Scotiabank
Toronto, ON
Provide leadership oversight for lifecycle tooling and platforms including ServiceNow asset management workflows, automation, catalog management, and reporting capabilities.

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