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Added 1 month ago
MO
Software Developer
Meridian OneCap Credit Corp.
Toronto, ON
- $68,800 to $103,200 CAD / year
- Full-time
In this role, you will design and develop web-based, cloud-based, and data-driven applications, build and maintain RESTful APIs and system integrations, and implement both custom-built and…
Added 1 month ago
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Manager, Platform Engineering - Technology Advisory
BDO
Toronto, ON
- Full-time
Cloud Platform Architect-level knowledge of Azure, AWS, and/or GCP, including hybrid- and multi-cloud environments
Added 3 months ago
M
Principal Cloud Solutions Architect
McKesson
Remote, Canada
- Full-time
- Remote
McKesson is looking for a Principal Cloud Solution Architect to join a key technical leadership role within the Enterprise Cloud Services Onboarding team, to help accelerate our cloud…
Added 1 month ago
D
Senior Product Engineer I - Automation
Docebo
Remote, Canada
- $102,800 to $137,000 CAD / year
- Full-time
- Remote
…Docebo’s enterprise automation platform! In this role, you will architect, build, and scale business-critical backend systems in Go and PHP that seamlessly onboard millions of users. You'll…
Added 1 month ago
D
Principal Solutions Architect, Professional Services (West Coast Preferred)
Docker
Remote, Canada
- Full-time
- Remote
…drive enterprise adoption for agentic workloads. As a Principal Solution Architect, you'll play a critical role in building and scaling this function. You will join a team of seasoned…
Added 3 months ago
CF
Senior AI Engineer
CI Financial
Toronto, Ontario
- Full-time
Architect and build production-grade intelligent systems and applications using existing LLMs (e.g., OpenAI, Claude, Gemini, etc.) through API integration, prompt engineering, fine-tuning,…
Added 1 month ago
A
Tech Delivery Lead-AI&Data
Accenture
Toronto, ON
- Full-time
…the morning and a technical design review with a client Chief Architect in the afternoon and be equally credible in both rooms. As a Technology Delivery Lead within our AI-Ready Data tower,…
Added 1 month ago
FF
Staff Applied AI Engineer
Forward Financing
Remote, Canada
- $180,000 to $240,000 CAD / year
- Full-time
- Remote
The Staff Software Engineer - Applied AI will architect and develop systems, tools and agents that leverage existing foundational AI models and deliver impactful AI-powered solutions. This…
Added 1 month ago
S
Senior Solution Architect
SPECTRAFORCE
Toronto, ON
- Contract
Job Title: Senior Solution Architect – AI, Automation & Business Transformation
Added 3 months ago
GC
Forward Deployed Engineer (AI Practice)
Greenlight Consulting
North York, Ontario
- $90,000 to $130,000 CAD / year
…and translating complex operational workflows into executable solution…
Added 3 months ago
A
Solutions Architecture Advisor
Alithya
QC · QC, Canada
- Full-time
…large-scale projects, such as DevOps architecture support, cloud platform migrations, new system implementations, and the deployment of various solutions (CRM, CMS, ERP, software packages,…
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 2 months ago
Senior Staff Software Engineer
Kaseya Careers
Toronto, ON
The Sr. Staff Software Engineer - Cloud Native and SASE focused will lead the design and implementation of a cloud-native, multi-tenant SASE solution and its interaction with a globally…
Added 3 months ago
VG
Consulting Manager- EPM
Voiant Group
Toronto, ON
- $180,000 to $185,000 CAD / year
The role combines hands-on solution architecture with team leadership across multi-month client engagements. The successful candidate will lead teams of 3-4 Voiant consultants on complex…
Added 4 months ago
AS
Technical Lead, Full-Stack & AI Platforms (Canada-only)
Aequilibrium Software Inc.
Remote, Canada
- $130,000 to $160,000 CAD / year
- Full-time
- Remote
3+ years in a Technical Lead, Lead Developer, or Solution Architect role
Added 1 month ago
BC
BCG Platinion | Senior AI Tech Architect - AI Platforms
Boston Consulting Group
Toronto, ON
- $160,000 CAD / year
- Full-time
Curious and Innovative. They explore and apply modern AI platform and agentic patterns to improve solution quality and scalability.
Added 1 month ago
Account Executive - Greenfield - Toronto
CoreWeave
Toronto, ON
…employee organizations), selling the full CoreWeave platform - GPU cloud infrastructure and AI developer tooling - as a unified solution. You will build pipeline from zero, run technical…
Added 4 months ago
Solution Consultant - CCaaS, NICE CXone & Cognigy
Connex Telecommunications Inc.
Richmond Hill, Ontario
…mentor more junior engineers and consultants, and represent the solution credibly in front of client managers and directors. You bring sharp execution, a point of view on conversational and…
Added 4 months ago
O
Solution Consultant, NAM
Omilia
Remote, Canada
- Remote
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 4 months ago
M
Lead, Infrastructure Architect
McKesson
Remote, Canada
- Full-time
- Remote
Multi‑cloud depth (e.g., AWS Solutions Architect – Professional, Azure Solutions Architect Expert, GCP Professional Cloud Architect) to guide modernization and multi‑account strategies.
Added 2 months ago
D
Staff Product Engineer
Docebo
Remote, Canada
- $148,100 to $197,500 CAD / year
- Full-time
- Remote
Architect the Future: Define long-term architectural standards and design resilient systems, leveraging our modern stack - including serverless services, Node.js (TypeScript), Golang, PHP,…
Added 5 months ago
T
C5ISRT & Cloud Architect
Thales
Remote, Canada
- Full-time
- Remote
The mission of the C5ISRT & Cloud Architect is to drive the technical vision and strategic execution for secure, scalable defense architectures. You will ensure that complex technical…
Added 5 months ago
TD
Solutions Architect
Teifi Digital
Vancouver, British Columbia · Toronto, Ontario
- $150,000 to $200,000 CAD / year
We are seeking an experienced Solutions Architect (Shopify) to join our growing eCommerce and technology team. In this role, you will own the end-to-end technical solution for complex,…
Added 1 month ago
Client Technology - Engineering - Architecture
EY
Toronto, ON
Hands-on deep experience of one or more specialization of solution and technical architecture role e.g. application, infrastructure/cloud, integration, data and security architectures and…
Added 5 months ago
TA
Forward Deployed Engineer (Generative AI)
Tiger Analytics Inc.
Remote, Canada
- Full-time
- Remote
…operationalize Large Language Models (LLMs) and retrieval systems across multi-cloud environments (AWS, Azure, GCP). You will bridge the gap between AI research and production-grade cloud…

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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