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. We use Anthropic’s Claude as a core delivery tool — embedded in how we design, build, and validate automation solutions — and this role works inside that environment every day.

What makes a star at Greenlight?

Builder’s mindset: you are not satisfied until it works cleanly, scales properly, and is reusable
Technically restless: you stay current because the space moves fast and you want to be ahead of it
Hands-on with AI — you have worked with LLMs, understand their behaviour, and think about how to build against them, not just with them
Clear communicator — able to explain what you built, why it works, and what it can and can’t won’t do
Ownership mindset — the build is yours until it’s live and stable

The Role

The AI Automation Engineer is the execution layer of the Greenlight delivery pod. You take a signed-off Solution Design Document and build it — cleanly, efficiently, and to a standard that holds up in production. This is not a back-office development role. You work in a lean, fast-moving pod alongside an Automation Business Consultant who owns the process logic and AI specifications, and an AI Delivery Engagement Manager who owns the client.

Your job is to build what the spec says, flag what the spec missed, and close the gap between design and working software in two-week sprints.

As AI agent-based automation grows alongside our RPA practice, this role requires genuine fluency across both — UiPath for process automation, and Claude-powered agent workflows for AI-driven solutions. The developer who thrives here is comfortable in both worlds and curious about where they intersect.

At a Glance

Works Closely With

AI Engagement Manager, Automation Business Consultant, RPA Engineers

Client Interaction

UAT support, technical walkthroughs, go-live

Platform Focus

UiPath, Anthropic Claude / AI Agents, Microsoft Power Platform etc.

Seniority

Mid-to-Senior (3–7 years relevant experience)

Location

Onshore Canada — GTA preferred

Engagement Type

Hybrid Office — project-based with occasional client-site phases

What You’ll Do

Build, Configuration & Test

Build automation solutions in UiPath Studio — efficient, well-structured, maintainable, and easy to understand; scalability and reusability are not optional
Develop and configure AI agent workflows using Anthropic’s Claude API — integrating LLM components, defining tool use, and wiring agent logic into the broader automation pipeline
Validate the AI-generated SDD before build begins — flag gaps, ambiguities, or technical constraints early rather than discovering them mid-sprint
Create reusable components, activity libraries, assets, and queues via UiPath Orchestrator and Studio that raise the quality floor for every subsequent build
Integrate automations with client systems — ERPs, CRMs, document management platforms, APIs — handling authentication, error handling, and edge cases the spec may not have fully anticipated
Write and execute unit tests and pre-UAT test procedures — own quality before the client ever sees it
Participate in UAT alongside the Automation Business Consultant — triaging defects, distinguishing genuine build issues from scope queries, and resolving assigned bugs with speed and quality

AI Agent Development

Build and configure agents: define tool schemas, implement decision logic, handle multi-turn interactions, and ensure output formats match the finalized specifications
Implement prompt-to-output pipelines — taking the prompt architecture designed and wiring it into the automation workflow reliably and testably