Senior forward deployed engineer

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, Share Point, Service Now, Jira, Docu Sign, and others) using REST, Graph QL, 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 s