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 skilled 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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📌 Senior Forward Deployed Engineer (Ontario)
🏢 Greenlight Consulting
📍 Ontario