Forward Deployed AI Engineer

Xplore Inc. is Canada’s fibre, 5G and satellite broadband company for rural living.

Xplore is committed to the relentless pursuit of an improved broadband experience for all Canadians.

Xplore is building a world-class fibre optic and 5G wireless network to enable innovative broadband services for better every day rural living, for today and future generations.

As an AI Developer on Xplore's Data & AI team, you will design, build, and deploy the agentic workflows and AI-enabled applications that change how the business runs – across network operations, customer experience, field services, and back-office functions.

There are more problems worth solving here than any single roadmap can hold.

That is why this role is built for a systems thinker.

You will need to see how systems connect: where a process actually breaks versus where it merely looks broken, which upstream system owns the truth, what a change does three steps downstream, and which piece of scaffolding built today makes the next five workflows cheaper to ship.

You will be expected to bring a point of view on sequencing, not just execution.

Unlike a research-oriented ML engineer focused on model development, or a software engineer focused on a single application surface, your specialty is orchestration and integration: decomposing messy, human-shaped processes into reliable, observable, governed agentic systems.

• Partner with process owners across operations, engineering, and corporate functions to map existing workflows end to end, identify high-value automation candidates, and distinguish what should be automated from what should first be redesigned or retired.
• Design, build, and deploy production agentic workflows – tool use, retrieval, multi-step orchestration, and human-in-the-loop checkpoints – that execute real business processes rather than demonstrate them.
• Integrate agentic capabilities into existing and new web applications, building the services, APIs, and user-facing touchpoints through which people interact with agents.
• Define what "working" looks like with stakeholders before building: acceptance criteria, quality thresholds, and measurable process outcomes such as cycle time, human touch rate, error rate, and cost per transaction.