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Added 46 mins ago
MF
Technical Lead
MD Financial Management | Gestion financière MD
Montreal, QC
- Full-time
Practical knowledge of Azure cloud services and cloud-native design considerations, including identity, configuration, monitoring, scalability, and resilience.
Added 1 hour ago
P
Senior Backend Engineer .NET & Python
PosiTrace
Vancouver, BC
- Full-time
We're migrating toward MACH (Microservices, API-first, Cloud-native, Headless) and need a senior backend engineer to co-own that evolution.
Added 1 hour ago
Director of Software Development R&D - AI
Siemens
Saskatoon, SK
…AI & Agentic EDA Innovation to help advance Siemens EDA's AI-native vision across the full semiconductor and electronic systems design lifecycle. In this role, you will lead the development…
Added 4 hours ago
GC
Senior Forward Deployed Engineer
Greenlight Consulting
Toronto, ON · Greater Toronto Area, Canada
- Full-time
AI-native at depth - you know how LLMs fail and build reliable systems around them
Added 6 hours ago
Technical Lead
Scotiabank
Ottawa, ON
Practical knowledge of Azure cloud services and cloud-native design considerations, including identity, configuration, monitoring, scalability, and resilience.
Added 6 hours ago
TI
Senior Software Engineer
Thri5 Inc.
Remote, Canada
- Full-time
- Remote
We are an AI-native engineering organization and use specs, agent skills, and AI-assisted development workflows extensively. We use Claude Code extensively as part of our development…
Added 10 hours ago
S
Full Stack Engineer, Support Experience (Greater China Support)
Stripe
Toronto, ON
- Full-time
Good understanding and practical knowledge of cloud-based services (e.g., gRPC, GraphQL, Docker/Kubernetes, AWS, etc.)
Added 11 hours ago
W
AI Solution Architect
Workana
Remote, Canada
- Contract
- Remote
You will design secure, scalable cloud-native AI solutions primarily on Microsoft Azure (with working exposure to GCP), leveraging frameworks like LangGraph and LangChain. You will partner…
Added 11 hours ago
W
AI Solution Architect
Workana
Remote, Canada
- Contract
- Remote
You will design secure, scalable cloud-native AI solutions primarily on Microsoft Azure (with working exposure to GCP), leveraging frameworks like LangGraph and LangChain. You will partner…
Added 11 hours ago
W
AI Solution Architect
Workana
Remote, Canada
- Contract
- Remote
You will design secure, scalable cloud-native AI solutions primarily on Microsoft Azure (with working exposure to GCP), leveraging frameworks like LangGraph and LangChain. You will partner…
Added 11 hours ago
W
AI Solution Architect
Workana
Remote, Canada
- Contract
- Remote
You will design secure, scalable cloud-native AI solutions primarily on Microsoft Azure (with working exposure to GCP), leveraging frameworks like LangGraph and LangChain. You will partner…
Added 11 hours ago
W
AI Solution Architect
Workana
Remote, Canada
- Contract
- Remote
You will design secure, scalable cloud-native AI solutions primarily on Microsoft Azure (with working exposure to GCP), leveraging frameworks like LangGraph and LangChain. You will partner…
Added 11 hours ago
CI
Student Intern, Communication Enablement (Business Excellence)
Celestica International LP
Toronto, ON
- $23 to $30 CAD / hour
…Celestica enables critical data center infrastructure for AI, cloud, and hybrid cloud and advances technologies in high-growth markets. Working with the world’s leading technology companies…
Added 23 hours ago
T
Staff Software Engineer
Twilio
Remote, Canada
- Full-time
- Remote
12+ years of experience designing and developing highly available, high scale, secure, mission-critical cloud native enterprise distributed systems.
Added 1 day ago
PS
Senior Software Developer – Backend Services
PDF Solutions
Vancouver, BC
- Full-time
The ideal candidate will have a strong background in backend architecture, cloud-native services, APIs, and enterprise-scale software development. Experience in the semiconductor industry…
Added 1 day ago
K
Enterprise Architect, AI Engineering – Security & Compliance
KPMG
Toronto, ON · ON
- Full-time
Experience with Microsoft Azure and cloud-native architecture, preferably including Azure networking, Entra ID, Key Vault, Application Gateway/WAF, Azure Front Door, Azure Container Apps or…
Added 1 day ago
SI
Java Developer
Spait Infotech
Canada
- Full-time
Experience with cloud-native application development.
Added 1 day ago
XI
Senior Engineering Manager - ERP
Xplore Inc
Markham, ON
- Full-time
Strong understanding of Cloud Native principles and frameworks
Added 1 day ago
MD
Information Security Supervisor - SAUS
Minnesota Direct Care and Treatment
Saint-Paul, NB · St.-Paul, NB
- Full-time
Added 1 day ago
CI
Lead Engineer, Active Equities, Public Markets Technology
CPP Investments | Investissements RPC
Toronto, ON
- Full-time
…development while helping shape the technical direction of the team's cloud-native technology…
Added 1 day ago
M
Senior Software Engineer
Microsoft
Vancouver, BC
- Full-time
Join the Windows Cloud Experiences team to build core Windows client technologies that power secure, high-performance remote desktop experiences at global scale. As part of the Windows +…
Added 1 day ago
NB
Chief Backend Developer
National Bank of Canada
Montreal, QC
- Full-time
A career as a Chief Backend Developer within the Platforms and Automation team at National Bank means acting as an expert in the design, development, and evolution of strategic backend…
Added 1 day ago
T
Data Platform Engineering Manager
TD
Toronto, ON
- Full-time
…and delivery of technology data from infrastructure, cyber, cloud, AI, and enterprise systems into a Databricks-based data…
Added 1 day ago
B
Sr. Application Developer - (Java / AWS / Payment Systems / Leadership)
BMO
Toronto, ON · BMOPLACE
- Full-time
Develop cloud-native services using Node.js and serverless patterns where appropriate.
Added 1 day ago
B
Cloud Application Developer - (AWS / Banking/ Payment Systems)
BMO
Toronto, ON · BMOPLACE
- Full-time
Develops scalable and accessible business cloud applications. Focuses on the technical design, development, enhancement, testing, debugging and maintenance of Cloud applications and…

Greenlight Consulting

Senior Forward Deployed Engineer

Toronto, ON, Canada
Greater Toronto Area, Canada, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Apr 2, 2027
Posting language: English
Posted: Oct 4, 2026

Original job description

Greenlight helps organizations solve complex business challenges through intelligent automation, agentic AI, and custom technology solutions. We combine deep consulting expertise with hands-on engineering to bridge the gap between strategy and execution. Anthropic's Claude is embedded across how we design, build, and validate solutions - and this role is at the technical frontier of that capability.

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
Seniority: Senior - 5+ years full-stack engineering, 1+ year FDE or client-embedded delivery
Platform Focus: Anthropic Claude (Cowork + Skills), MCP, Python / Node.js, REST APIs
Travel: Regular client travel - discovery, workshops, POC delivery, go-live
Location: Toronto, ON preferred - hybrid onsite + remote delivery
Compensation: $110,000 – $150,000 CAD annually, based on experience

What Makes a Star at Greenlight

Full-stack engineering foundation - you've built things end to end, backend to frontend, and you own the whole stack

Builder's instinct, architect's discipline - working software over slide decks, every time

AI-native at depth - you know how LLMs fail and build reliable systems around them

Client-embedded, not arm's length - you thrive in client environments, not back-office settings

Commercially aware - scope, delivery economics, and what it costs when technical decisions go sideways

The most technically credible person in the room - credible with a CTO and a COO in the same meeting

The Role

The Senior 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.

You bring a strong full-stack engineering background (5+ years) combined with at least one year of forward deployed or client-embedded delivery experience. You know how to ship production-grade software, navigate a complex enterprise environment, and show up credibly in front of technical and business stakeholders in the same day. The platform is Anthropic Claude. The problem space is complex, regulated, and high-stakes. The bar is production-grade.

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

Present technical architectures to executive and non-technical audiences with clarity, confidence, and the credibility that comes from having built things like this before

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 simpler is better than AI

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

Build and maintain MCP connectors integrating AI agents with enterprise systems - CRMs, ERPs, document platforms, core banking systems, and custom APIs - handling authentication, data mapping, error handling, and audit requirements

Implement advanced LLM patterns: RAG, tool use, multi-agent orchestration, structured output validation, and chain-of-thought reasoning

Conduct output validation, performance tuning, and safety testing of deployed AI agents before client go-live

Full-Stack & Integration Engineering

Write production-quality Python and/or Node.js to extend platform capability - data pipelines,

transformation logic, webhook handlers, API wrappers, and back-end components

Build, test, and maintain integrations with enterprise platforms (Salesforce, SharePoint, ServiceNow, Jira, DocuSign, 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

Accelerators & Practice Development

Build and continuously refine reusable Skills libraries, automation templates, and reference

architectures that make every subsequent Greenlight engagement faster

Contribute to pre-sales activities: technical demos, POC builds, RFP responses, and solution

estimations

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

Mentor junior FDEs and Automation Engineers on AI agent patterns, LLM integration best practices, and platform capabilities

What We're Looking For

Experience

5+ years of professional full-stack or backend engineering experience - building, shipping, and maintaining production systems

1+ year of forward deployed, client-embedded, or consulting engineering experience - working directly inside client environments, not just delivering remotely

Hands-on experience building with LLM platforms in production - Anthropic Claude preferred; OpenAI, Azure OpenAI, or Gemini also relevant

Demonstrated experience with enterprise system integrations - REST APIs, OAuth 2.0, webhooks, authentication flows at scale

Experience deploying and maintaining solutions in cloud environments (AWS, Azure, or GCP)

Technical Stack

Full-Stack Engineering: Python and/or Node.js (production-grade); REST & GraphQL APIs;

TypeScript; SQL and NoSQL databases; CI/CD AI & LLM Anthropic Claude API; MCP connector design; RAG; multi-agent orchestration; tool use; structured output validation; LLM evals & observability (LangSmith or equivalent)

Enterprise Integration Salesforce, SharePoint, ServiceNow, Jira, or similar; OAuth 2.0;

webhook handling; error handling and retry logic at scale

Cloud & DevOps AWS, Azure, or GCP; Docker; deployment basics; logging and

monitoring

What Makes You the Right Fit

You've been the most technical person in a client meeting and the most client-facing person in an engineering room - and you're comfortable in both

You build things that work in production, not just in demos - and you know the difference

You define structure where none exists and deliver without needing hand-holding

You write code the next engineer can understand without a two-hour briefing

You know when the LLM is going to fail before it does, and you've already built the fallback

You leave every engagement with a client technical team more capable than when you arrived

What You'll Find at Greenlight

Complex, high-stakes enterprise AI projects that push you technically and strategically

A team that combines deep consulting expertise with hands-on engineering - no arm's-length delivery

Training budget and dedicated time for certifications

Clear growth paths - technical track or leadership track

Real work-life balance: hybrid model, flexible hours, and a culture that respects what matters outside of work

A firm where your opinions on architecture, practice, and client strategy are actually heard

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. We welcome applicants of all backgrounds. If you need accommodations during the process, please let us know.

Compensation

The expected salary range for this role is $120,000 – $140,000 CAD annually, based on experience and qualifications.

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More about this job

Responsibilities

Lead client discovery and design end-to-end AI agent and automation architectures that meet enterprise infrastructure, security, and compliance needs. Build, integrate, test, and operationalize production-grade solutions, while developing reusable accelerators, supporting pre-sales, documenting deployments, and mentoring junior engineers.

Requirements

Requires 5+ years of professional full-stack or backend engineering experience and at least 1 year of forward-deployed, client-embedded, or consulting engineering experience. Candidates should have production LLM experience, enterprise integration expertise, and experience deploying and maintaining solutions on AWS, Azure, or GCP.

Skills

Full-Stack Engineering
Python
Node.js
Anthropic Claude
MCP Connector Design
AI Agent Development
LLM Integration
RAG
Multi-Agent Orchestration
REST APIs
GraphQL
OAuth 2.0
Enterprise Integrations
Cloud Platforms
Client-Facing Delivery
Solution Architecture

Benefits

Training Budget
Certification Support
Flexible Hours
Hybrid Work
Work-Life Balance

Visa sponsorship

Not detected in the job text

Keywords

Anthropic Claude
Claude Cowork
Claude Skills
Model Context Protocol
Python
Node.js
TypeScript
REST APIs
GraphQL
OAuth 2.0
RAG
Multi-Agent Orchestration
Tool Use
Structured Output Validation
LLM Evaluation
LLM Observability
LangSmith
Salesforce
SharePoint
ServiceNow
Jira
DocuSign
AWS
Azure
Google Cloud Platform
Docker
CI/CD
SQL
NoSQL
Webhooks

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